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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2026.9186</article-id>
<article-id pub-id-type="publisher-id">OR-56-4-09186</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Decoding the metabolic-immune crosstalk: The role of glutamine and ammonium reprogramming in prostate cancer immune evasion (Review)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Peilong</given-names></name>
<xref rid="af1-or-56-4-09186" ref-type="aff">1</xref>
<xref rid="af2-or-56-4-09186" ref-type="aff">2</xref>
<xref rid="af3-or-56-4-09186" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xiaoran</given-names></name>
<xref rid="af1-or-56-4-09186" ref-type="aff">1</xref>
<xref rid="af2-or-56-4-09186" ref-type="aff">2</xref>
<xref rid="af3-or-56-4-09186" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Teng</given-names></name>
<xref rid="af1-or-56-4-09186" ref-type="aff">1</xref>
<xref rid="af2-or-56-4-09186" ref-type="aff">2</xref>
<xref rid="af3-or-56-4-09186" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Mi</surname><given-names>Jun</given-names></name>
<xref rid="af1-or-56-4-09186" ref-type="aff">1</xref>
<xref rid="af2-or-56-4-09186" ref-type="aff">2</xref>
<xref rid="af3-or-56-4-09186" ref-type="aff">3</xref>
<xref rid="c1-or-56-4-09186" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-or-56-4-09186"><label>1</label>Department of Urology, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China</aff>
<aff id="af2-or-56-4-09186"><label>2</label>Institute of Urology, Gansu Nephro-Urological Clinical Center, Lanzhou, Gansu 730030, P.R. China</aff>
<aff id="af3-or-56-4-09186"><label>3</label>Key Laboratory of Urological Diseases in Gansu Province, Lanzhou, Gansu 730030, P.R. China</aff>
<author-notes>
<corresp id="c1-or-56-4-09186"><italic>Correspondence to</italic>: Professor Jun Mi, Department of Urology, Lanzhou University Second Hospital, 80 Cuiying Men Street, Cheng-guan, Lanzhou, Gansu 730030, P.R. China, E-mail: <email>mj7690@163.com</email></corresp>
</author-notes>
<pub-date pub-type="collection"><month>10</month><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>27</day><month>08</month><year>2026</year></pub-date>
<volume>56</volume>
<issue>4</issue>
<elocation-id>180</elocation-id>
<history>
<date date-type="received"><day>12</day><month>03</month><year>2026</year></date>
<date date-type="accepted"><day>29</day><month>07</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Wang et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Prostate cancer progression is typically driven by metabolic reprogramming and immune evasion, yet the interface between these processes remains incompletely understood. Dysregulated glutamine metabolism extends beyond bioenergetic support to actively shape antitumor immunity through nutrient competition and ammonium accumulation within the tumor microenvironment. Ammonium, traditionally viewed as a toxic waste product, is a critical immunosuppressive metabolite that impairs T cell function and promotes macrophage M2 polarization. The present review aimed to summarize the bidirectional crosstalk between tumor metabolism and immune cells, with emphasis on how metabolic alterations drive therapeutic resistance. While the majority of evidence supporting this axis derives from preclinical models, the present review highlights the glutamine-ammonium axis as a promising but largely untapped therapeutic target requiring translation into clinical investigation, including combination strategies with immunotherapy.</p>
</abstract>
<kwd-group>
<kwd>glutamine metabolism</kwd>
<kwd>ammonium</kwd>
<kwd>prostate cancer</kwd>
<kwd>immune evasion</kwd>
<kwd>tumor microenvironment</kwd>
<kwd>metabolic reprogramming</kwd>
<kwd>immunometabolism</kwd>
<kwd>therapeutic target</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source>Gansu Provincial Science and Technology Program</funding-source>
<award-id>23JRRA1628</award-id>
</award-group>
<award-group>
<funding-source>Cuiying Science and Technology Innovation</funding-source>
<award-id>CY2023-MS-A16</award-id>
</award-group>
<funding-statement>The present study was supported by the Gansu Provincial Science and Technology Program (grant no. 23JRRA1628) and Cuiying Science and Technology Innovation (grant no. CY2023-MS-A16).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Prostate cancer (PCa) is a leading cause of cancer-related morbidity and mortality among male patients worldwide, with recent estimates indicating &#x007E;1.4 million new cases and 375,000 deaths annually (<xref rid="b1-or-56-4-09186" ref-type="bibr">1</xref>). Despite advances in early detection and treatment, a substantial proportion of patients (10&#x2013;20&#x0025; within 5 years) develop castration-resistant PCa (CRPCa), a lethal disease state characterized by therapeutic resistance and poor clinical outcomes (<xref rid="b2-or-56-4-09186" ref-type="bibr">2</xref>). Comprehensive genomic analysis has revealed that advanced PCa involves complex molecular alterations that influence disease progression and treatment response (<xref rid="b3-or-56-4-09186" ref-type="bibr">3</xref>). Among these, androgen receptor splice variant 7 (AR-V7) has been prospectively validated as a predictive biomarker of resistance to hormone therapy in high-risk patients (<xref rid="b4-or-56-4-09186" ref-type="bibr">4</xref>). Furthermore, distinct genomic drivers associated with enzalutamide resistance have been identified in metastatic CRPCa, highlighting the heterogeneous and adaptive nature of treatment failure (<xref rid="b5-or-56-4-09186" ref-type="bibr">5</xref>).</p>
<p>The biological evolution from hormone-sensitive to CR disease involves not only genomic alterations but also metabolic reprogramming (<xref rid="b6-or-56-4-09186" ref-type="bibr">6</xref>). This metabolic rewiring enables tumor cells to sustain proliferation under therapeutic pressure and nutrient-limited conditions (<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>). Concurrently, the tumor microenvironment (TME) undergoes notable remodeling that promotes immune evasion, with evidence indicating that metabolic alterations directly influence immune cell function (<xref rid="b8-or-56-4-09186" ref-type="bibr">8</xref>). The recognition that metabolic reprogramming and immune evasion are interconnected rather than independent processes has opened novel avenues for therapeutic intervention.</p>
<p>Glutamine metabolism is a central node in PCa pathogenesis, with recent work positioning glutamine and glutamate metabolic reprogramming at the core of tumor progression (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>). Beyond its traditional roles in bioenergetics and biosynthesis, glutamine metabolism actively shapes the immunological landscape of the TME through nutrient competition and the generation of immunosuppressive metabolites (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>). While previous reviews have addressed glutamine metabolism in PCa or immune evasion mechanisms in the TME, the present study aimed to promote a unified framework by positioning the glutamine-ammonium axis as an integrated metabolic-immune hub (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>,<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>). The present review aimed to reconceptualize ammonium, traditionally dismissed as a toxic waste product, as an active immunosuppressive signaling molecule that orchestrates T cell dysfunction and macrophage M2 polarization. Ammonium accumulation impairs antitumor immunity and is associated with poor prognosis, whereas its clearance restores T cell function and enhances immunotherapy efficacy (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>). The present study aimed to delineate the bidirectional feedback loops whereby immune-derived cytokines reciprocally modulate tumor glutamine and ammonium flux, establishing a self-reinforcing cycle of metabolic adaptation and immune evasion (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>,<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>) and summarize the therapeutic implications of targeting this integrated axis (<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>). The complexity of this metabolic-immune crosstalk is amplified by interactions with stromal elements, including cancer-associated fibroblasts that manipulate glutamine metabolism through paracrine signaling (<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>), and encompasses bioenergetic support, redox homeostasis, epigenetic regulation and nitrogen recycling (<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>).</p>
<p>The therapeutic potential of targeting the glutamine-ammonium axis has been demonstrated in preclinical studies (<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>,<xref rid="b15-or-56-4-09186" ref-type="bibr">15</xref>). Metabolic reprogramming of tumor-associated macrophages using glutamine antagonism drives antitumor immunity in myeloid-rich PCa (<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>). Similarly, targeting of Myc and glutamine-fructose-6-phosphate amidotransferase 1 (GFAT-1), a key enzyme in glutamine metabolism, improves antitumor activity (<xref rid="b15-or-56-4-09186" ref-type="bibr">15</xref>). These findings suggest that interventions at the metabolic-immune interface may simultaneously disrupt tumor progression and enhance immune surveillance. The present review aimed to summarize the molecular mechanisms governing glutamine dependency and ammonium accumulation in PCa, with focus on their immunomodulatory consequences. By mapping the bidirectional dialogue between tumor metabolism and antitumor immunity, the present review seeks to identify novel therapeutic strategies to overcome treatment resistance and improve clinical outcomes. The literature for the present narrative review was identified through systematic searches of PubMed databases (pubmed.ncbi.nlm.nih.gov) using combinations of the following keywords: &#x2018;PCa&#x2019;, &#x2018;glutamine metabolism&#x2019;, &#x2018;glutaminase&#x2019;, &#x2018;ASCT2&#x2019;, &#x2018;ammonium&#x2019;, &#x2018;urea cycle&#x2019;, &#x2018;tumor microenvironment&#x2019;, &#x2018;immune evasion&#x2019;, &#x2018;tumor-associated macrophages&#x2019;, &#x2018;T cell exhaustion&#x2019;, &#x2018;metabolic reprogramming&#x2019; and &#x2018;immunometabolism&#x2019;. The search was restricted to articles published in English between January 2015 and April 2026, with additional references identified through citation screening of retrieved articles and relevant review papers.</p>
</sec>
<sec>
<label>2.</label>
<title>Glutamine metabolism in PCa: Mechanisms and regulation</title>
<p>Glutamine is a versatile nutrient that fuels multiple aspects of PCa progression, from bioenergetics and biosynthesis to redox homeostasis and epigenetic regulation. The rewiring of glutamine metabolic pathways represents a hallmark of malignant transformation that distinguishes PCa cells from their normal counterparts. Understanding the molecular mechanisms governing glutamine use is essential for identifying how these tumors establish metabolic autonomy and acquire resistance to therapeutic intervention (<xref rid="b6-or-56-4-09186" ref-type="bibr">6</xref>,<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>,<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>). <xref rid="f1-or-56-4-09186" ref-type="fig">Fig. 1</xref> provides a schematic overview of the key transporters, enzymes and metabolic nodes, illustrating the integrated nature of glutamine metabolism in PCa cells.</p>
<sec>
<title/>
<sec>
<title>Glutamine dependency in PCa</title>
<p>PCa cells exhibit dependency on exogenous glutamine, a phenomenon termed glutamine addiction that distinguishes malignant metabolism from normal prostate physiology. This metabolic vulnerability arises from the unique bioenergetic and biosynthetic demands of proliferating tumor cells, which require glutamine not only as a nitrogen donor for nucleotide and amino acid synthesis but also as a carbon source for tricarboxylic acid cycle anaplerosis. PCa cell lines PC-3, DU145 and LNCaP display distinct bioenergetic properties, with mitochondrial adaptations that render them sensitive to glutamine deprivation (<xref rid="b16-or-56-4-09186" ref-type="bibr">16</xref>). Targeting alanine-serine-cysteine transporter 2 (ASCT2)-mediated glutamine uptake effectively blocks PCa growth and tumor development, establishing glutamine dependency as a potential therapeutic target (<xref rid="b17-or-56-4-09186" ref-type="bibr">17</xref>).</p>
<p>Plasma glutamine levels may serve as prognostic biomarkers in localized PCa, with alterations in circulating glutamine associated with disease outcomes (<xref rid="b18-or-56-4-09186" ref-type="bibr">18</xref>). The degree of glutamine dependency varies across disease states: CRPCa cells exhibit heightened reliance on glutamine metabolism compared with hormone-na&#x00EF;ve (untreated by androgen deprivation therapy) counterparts, suggesting that therapeutic pressure selects for metabolic adaptations that amplify glutamine addiction (<xref rid="b19-or-56-4-09186" ref-type="bibr">19</xref>). This evolutionary trajectory positions glutamine metabolism as a key driver of lethal PCa phenotypes, providing a rationale for developing therapeutic strategies that exploit this dependency across the spectrum of disease progression.</p>
</sec>
<sec>
<title>Key transporters and enzymes</title>
<p>The execution of glutamine-dependent metabolic programs requires coordinated action of specialized transporters that mediate glutamine influx and efflux. Among glutamine transporters, ASCT2 (encoded by SLC1A5) is the dominant mediator of glutamine uptake in PCa cells, with elevated expression demonstrated across multiple model systems and clinical specimens (<xref rid="b17-or-56-4-09186" ref-type="bibr">17</xref>,<xref rid="b20-or-56-4-09186" ref-type="bibr">20</xref>). Mechanistic studies have revealed that ASCT2 expression is directly regulated by multiple oncogenic signaling pathways, positioning this transporter as a nodal point integrating proliferative signals (<xref rid="b20-or-56-4-09186" ref-type="bibr">20</xref>,<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>). The functional importance of ASCT2 is further supported by observations that CRPCa cells exhibit increased ASCT2 expression and glutamine uptake, linking transporter upregulation to therapeutic resistance (<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>). Beyond ASCT2, the heterodimeric amino acid transporter L-type amino acid transporter 1 (encoded by SLC7A5) participates in glutamine exchange by coupling glutamine efflux with essential amino acid import, which sustains mTOR signaling and protein synthesis (<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>).</p>
<p>Once internalized, intracellular enzymes channel glutamine into downstream metabolic pathways. Glutamine enters mitochondria where glutaminase (GLS) catalyzes its deamination to glutamate, representing the first committed step of glutaminolysis (<xref rid="b22-or-56-4-09186" ref-type="bibr">22</xref>,<xref rid="b23-or-56-4-09186" ref-type="bibr">23</xref>). Elevated GLS expression confers enhanced glucose use capacity in PCa cells, linking glutamine catabolism with broader metabolic reprogramming (<xref rid="b22-or-56-4-09186" ref-type="bibr">22</xref>). Pharmacological inhibition of GLS suppresses proliferation and promotes apoptosis in PCa models, validating this enzyme as a druggable vulnerability (<xref rid="b23-or-56-4-09186" ref-type="bibr">23</xref>,<xref rid="b24-or-56-4-09186" ref-type="bibr">24</xref>). The existence of two GLS isoforms, GLS and GLS2, adds regulatory complexity; an isoform switch from GLS to GLS2 is implicated in therapeutic resistance and disease progression, indicating that isoform-specific targeting strategies may be required for optimal efficacy (<xref rid="b25-or-56-4-09186" ref-type="bibr">25</xref>). Glutamate dehydrogenase (GLUD) converts glutamate to &#x03B1;-ketoglutarate, feeding carbon into the tricarboxylic acid cycle while releasing ammonium as a byproduct. The coordinated upregulation of these transporters and enzymes establishes a metabolic axis that sustains PCa cell survival and proliferation (<xref rid="b26-or-56-4-09186" ref-type="bibr">26</xref>).</p>
</sec>
<sec>
<title>Oncogenic signaling pathways controlling glutamine use</title>
<p>Glutamine metabolism in PCa integrates signals from dominant oncogenic pathways that orchestrate metabolic reprogramming in response to extracellular cues and therapeutic pressures. The androgen receptor (AR) pathway, central to PCa biology throughout disease evolution, exerts control over glutamine metabolism. Differential regulation of metabolic pathways by full-length AR vs. its constitutively active splice variant AR-V7 reveals that androgen signaling directs glutamine use patterns, with AR-V7-expressing cells exhibiting distinct metabolic dependency (<xref rid="b27-or-56-4-09186" ref-type="bibr">27</xref>). Glutaminolysis itself is regulated by 5&#x03B1;-dihydrotestosterone, establishing direct hormonal control over this key metabolic route (<xref rid="b28-or-56-4-09186" ref-type="bibr">28</xref>). The AR coactivator steroid receptor coactivator-2 coordinates metabolic reprogramming that supports PCa survival and metastasis, linking transcriptional coactivation with glutamine-dependent phenotypes (<xref rid="b29-or-56-4-09186" ref-type="bibr">29</xref>).</p>
<p>Myc and the PTEN/PI3K/AKT/mTOR pathway further amplify glutamine use through complementary mechanisms. Myc drives glutamine metabolism through transcriptional activation of GLS and suppression of negative regulators; a long non-coding RNA connects c-Myc to tumor metabolism, illustrating the layered regulatory architecture controlling glutamine use (<xref rid="b30-or-56-4-09186" ref-type="bibr">30</xref>). c-Myc-driven glycolysis via thioredoxin-interacting protein suppression depends on the GLS-MLX-interacting protein) axis, revealing crosstalk between glucose and glutamine metabolic programs (<xref rid="b31-or-56-4-09186" ref-type="bibr">31</xref>). PTEN loss, typically observed in PCa, induces metabolic reprogramming characterized by enhanced glutamine dependency, linking tumor suppressor inactivation with acquired metabolic vulnerability (<xref rid="b32-or-56-4-09186" ref-type="bibr">32</xref>). AKT inhibitors elicit metabolic responses detectable by hyperpolarized magnetic resonance spectroscopy, providing tools to monitor pathway engagement (<xref rid="b33-or-56-4-09186" ref-type="bibr">33</xref>). The mTOR pathway, serving as a nutrient sensor, integrates amino acid availability with growth signaling; dual mTOR inhibition alters tumor heterogeneity and metabolic profiles in patient-derived xenografts (<xref rid="b34-or-56-4-09186" ref-type="bibr">34</xref>). p53 status modulates glutamine metabolism through transcriptional programs that influence mitochondrial function and redox balance. Knockdown of the cochaperone small glutamine-rich tetratricopeptide repeat-containing protein &#x03B1; suppresses both androgen and PI3K/Akt signaling while inhibiting proliferation, illustrating the interconnectedness of these pathways (<xref rid="b35-or-56-4-09186" ref-type="bibr">35</xref>). The convergence of these oncogenic signals on glutamine metabolism genes establishes a complex regulatory network that adapts to therapeutic intervention and disease progression (<xref rid="b36-or-56-4-09186" ref-type="bibr">36</xref>).</p>
</sec>
<sec>
<title>Glutamine-derived metabolic fate</title>
<p>Once imported and processed through the glutaminolysis pathway, glutamine-derived carbon is distributed among multiple metabolic fates that support PCa cell survival and proliferation. The most common fate of glutamine carbon is anaplerotic entry into the tricarboxylic acid cycle via conversion to &#x03B1;-ketoglutarate, replenishing intermediates extracted for biosynthetic purposes (<xref rid="b37-or-56-4-09186" ref-type="bibr">37</xref>,<xref rid="b38-or-56-4-09186" ref-type="bibr">38</xref>). This anaplerotic function is key under conditions of metabolic stress; metformin treatment decreases glucose oxidation and increases the dependency of PCa cells on reductive glutamine metabolism, demonstrating metabolic flexibility that sustains tricarboxylic acid cycle function under pharmacological pressure (<xref rid="b37-or-56-4-09186" ref-type="bibr">37</xref>). Pyruvate dehydrogenase E1 subunit &#x03B1;1 knockout in PCa cells results in metabolic reprogramming toward greater glutamine dependence, emphasizing the compensatory association between glucose and glutamine carbon sources (<xref rid="b38-or-56-4-09186" ref-type="bibr">38</xref>).</p>
<p>Beyond energy metabolism, glutamine serves as the primary precursor for glutathione synthesis, providing the building blocks required for this notable cellular antioxidant. Glutamine-derived glutathione metabolism is key for survival under chronic cycling hypoxia, where fluctuating oxygen levels generate oxidative stress that must be neutralized to prevent cell death (<xref rid="b39-or-56-4-09186" ref-type="bibr">39</xref>). In enzalutamide-resistant PCa, antioxidant programs including glutathione metabolism serve critical roles in sustaining viability under therapeutic pressure (<xref rid="b24-or-56-4-09186" ref-type="bibr">24</xref>). The glutamine antagonist JHU083 exerts antitumor effects partly through glutathione depletion, linking pharmacological glutamine interference with redox disruption (<xref rid="b40-or-56-4-09186" ref-type="bibr">40</xref>). Glutamine nitrogen supports nucleotide biosynthesis through multiple routes: Amide nitrogen contributes directly to purine and pyrimidine ring synthesis, while amine nitrogen provides nitrogen for non-essential amino acids that feed into nucleotide production. Inhibition of guanosine monophosphate synthetase, which uses glutamine amide nitrogen, blocks glutamine metabolism and PCa growth, validating nucleotide synthesis as a key downstream effector (<xref rid="b41-or-56-4-09186" ref-type="bibr">41</xref>).</p>
<p>Glutamine-derived &#x03B1;-ketoglutarate serves as a substrate for epigenetic modifying enzymes including Jumonji C domain-containing histone demethylases and ten-eleven translocation DNA hydroxylases. By modulating the activity of these &#x03B1;-ketoglutarate-dependent dioxygenases, glutamine availability influences histone methylation status and DNA hydroxymethylation patterns, establishing a direct link between nutrient availability and epigenetic regulation (<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>,<xref rid="b42-or-56-4-09186" ref-type="bibr">42</xref>). This metabolic-epigenetic axis allows fluctuations in glutamine supply to translate into heritable changes in gene expression programs that may contribute to phenotypic plasticity and therapy resistance (<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>,<xref rid="b42-or-56-4-09186" ref-type="bibr">42</xref>). The partitioning of glutamine among these competing fates is dynamically regulated in response to microenvironmental conditions and therapeutic interventions, creating metabolic vulnerability that can be exploited for therapeutic benefit (<xref rid="b43-or-56-4-09186" ref-type="bibr">43</xref>).</p>
</sec>
<sec>
<title>Cross-regulation between oncogenic signaling pathways in controlling glutamine metabolism</title>
<p>The regulation of glutamine metabolism in PCa is not governed by individual oncogenic pathways acting in isolation, but rather through a network of cross-regulatory interactions between AR/AR-V7, Myc and PI3K/AKT/mTOR signaling. These pathways converge on common downstream effectors while simultaneously modulating their activity, creating a highly integrated and adaptive regulatory system. A key distinction exists between full-length AR and its constitutively active splice variant AR-V7 in regulating glutamine metabolism (<xref rid="b30-or-56-4-09186" ref-type="bibr">30</xref>,<xref rid="b31-or-56-4-09186" ref-type="bibr">31</xref>). While AR activation increases citrate levels, AR-V7 reduces citrate due to enhanced use rather than impaired synthesis, mirroring the metabolic shifts observed in patients with CRPCa (<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>). Furthermore, flux assays have demonstrated that compared with AR, AR-V7 exhibits increased dependence on glutaminolysis and reductive carboxylation to generate tricarboxylic acid cycle intermediates, establishing AR-V7 as a driver of distinct metabolic vulnerabilities (<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>). The activity of AR-V7 is regulated by FOXO1 in a PTEN-PI3K-AKT-dependent manner, positioning AR-V7 as both a downstream effector and a proximal node integrating PI3K/AKT signaling with glutamine metabolic reprogramming (<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>). AR and Myc exhibit reciprocal regulation that amplifies glutamine metabolic reprogramming. AR directly transactivates Myc expression, and Myc enhances AR transcriptional activity through multiple mechanisms, establishing a positive feed-forward loop that drives GLS expression and glutamine uptake (<xref rid="b30-or-56-4-09186" ref-type="bibr">30</xref>,<xref rid="b31-or-56-4-09186" ref-type="bibr">31</xref>). This AR-Myc axis is further reinforced by long non-coding RNAs that connect c-Myc to tumor metabolism (<xref rid="b30-or-56-4-09186" ref-type="bibr">30</xref>). Concurrently, AR signaling intersects with the PI3K/AKT/mTOR pathway at multiple levels. PTEN loss, which activates PI3K/AKT signaling, enhances AR transcriptional activity and promotes glutamine dependency (<xref rid="b32-or-56-4-09186" ref-type="bibr">32</xref>). AKT phosphorylation of AR modulates its stability and transcriptional output, while mTOR activation integrates amino acid availability with AR-dependent metabolic programs (<xref rid="b34-or-56-4-09186" ref-type="bibr">34</xref>). Regarding the Myc/PI3K/AKT/mTOR interaction, emerging evidence indicates that mTORC1 positively regulates GLS and glutamine flux through ribosomal protein S6 kinase &#x03B2;-1 (S6K1)-dependent control of c-Myc translation, wherein S6K1 enhances Myc translation efficiency by modulating eukaryotic initiation factor 4B phosphorylation (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>). The role of Myc in regulating glutamine transporter expression is context-dependent and influenced by PTEN/PI3K status: Myc is unable to upregulate the glutamine transporters SLC1A4 and SLC1A5 in PTEN wild-type cells, whereas this regulation is enabled by PTEN loss (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>,<xref rid="b16-or-56-4-09186" ref-type="bibr">16</xref>). mTORC1, in contrast, is required for maximal AR-mediated glutamine transporter expression and cell proliferation independent of PTEN status (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>). The convergence of these pathways on common transcriptional targets, including GLS and glutamine transporters such as ASCT2, creates a regulatory hub wherein pathway activation at any node sustains glutamine metabolism when other nodes are inhibited (<xref rid="b20-or-56-4-09186" ref-type="bibr">20</xref>,<xref rid="b36-or-56-4-09186" ref-type="bibr">36</xref>). This network redundancy explains the limited efficacy of single-pathway inhibitors and provides the rationale for combinatorial strategies targeting multiple nodes simultaneously. The adaptive plasticity of this regulatory network enables PCa cells to maintain glutamine addiction under therapeutic pressure, contributing to the evolution of CR phenotypes (<xref rid="b19-or-56-4-09186" ref-type="bibr">19</xref>,<xref rid="b25-or-56-4-09186" ref-type="bibr">25</xref>).</p>
</sec>
</sec>
</sec>
<sec>
<label>3.</label>
<title>Ammonium metabolism</title>
<p>Ammonium has traditionally been viewed as a toxic metabolic byproduct requiring efficient detoxification and elimination. However, evidence positions ammonium as a key signaling molecule and metabolic node within the prostate TME, where its production, partitioning and accumulation profoundly influence both cancer cell behavior and immune cell function (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>). The rewiring of ammonium metabolism represents an overlooked dimension of PCa pathogenesis that extends beyond nitrogen disposal to encompass pH regulation, stress adaptation and immunosuppressive crosstalk (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>). <xref rid="f2-or-56-4-09186" ref-type="fig">Fig. 2</xref> provides a schematic overview of ammonium metabolism in PCa.</p>
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<title/>
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<title>Sources of ammonium in the prostate TME</title>
<p>Ammonium within the prostate TME originates from multiple metabolic sources that reflect the heightened catabolic activity of malignant cells. The predominant source is glutaminolysis, wherein GLS catalyzes the deamination of glutamine to glutamate, releasing ammonium as a stoichiometric byproduct. This pathway operates at elevated flux in PCa cells due to glutamine addiction, resulting in constitutive ammonium production that surpasses the rate at which the cells use nitrogen for amino acid and nucleotide biosynthesis, causing ammonium to accumulate and be released into the TME (<xref rid="b38-or-56-4-09186" ref-type="bibr">38</xref>).</p>
<p>Beyond glutaminolysis, deamination reactions involving other amino acids contribute to the ammonium pool. Catabolism of serine, threonine and branched-chain amino acids generates ammonium through the action of serine dehydratase, threonine dehydratase and branched-chain amino acid transaminases coupled with GLUD (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>,<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>). Nucleotide catabolism represents an additional source, with adenosine and AMP deaminase releasing ammonium during purine nucleotide degradation (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>). The relative contribution of each source varies according to metabolic context, nutrient availability and oncogenic driver status. Ye <italic>et al</italic> (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>) reviewed ammonium metabolism rewiring in the PCa ME, emphasizing that the convergence of these pathways creates sustained ammonium flux that distinguishes malignant from benign prostate tissue.</p>
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<title>Ammonium fate and recycling: Urea cycle dysregulation and nitrogen partitioning</title>
<p>Once generated, ammonium faces several potential fates determined by the expression and activity of nitrogen-handling enzymes within PCa cells. The urea cycle represents the canonical pathway for ammonium detoxification, converting ammonium and bicarbonate to urea through enzymatic reactions distributed between mitochondria and cytoplasm. However, PCa cells exhibit notable urea cycle dysregulation characterized by downregulation of key enzymes including carbamoyl phosphate synthetase I and ornithine transcarbamylase. Bruzzone <italic>et al</italic> (<xref rid="b44-or-56-4-09186" ref-type="bibr">44</xref>) demonstrated using nuclear magnetic resonance-based urine metabolomics that patients with PCa display enhanced carbon and nitrogen recycling, with metabolomic signatures indicating redirection of nitrogen away from urea production toward anabolic pathways. This metabolic rewiring favors nitrogen incorporation into amino acids and nucleotides at the expense of ureagenesis, supporting biosynthetic demands of proliferating tumor cells.</p>
<p>GLUD and glutamine synthetase (GLUL) represent alternative fates for ammonium assimilation. GLUD catalyzes the reversible reductive amination of &#x03B1;-ketoglutarate to glutamate, incorporating ammonium into amino acid pools, while GLUL ligates ammonium with glutamate to form glutamine, recycling nitrogen back into the glutamine pool. Luo <italic>et al</italic> (<xref rid="b45-or-56-4-09186" ref-type="bibr">45</xref>) revealed that PCa stem cells exhibit aberrant urea cycle activity with selective upregulation of specific urea cycle enzymes that support stemness maintenance, suggesting that nitrogen partitioning is dynamically regulated across tumor subpopulations. Labroy <italic>et al</italic> (<xref rid="b46-or-56-4-09186" ref-type="bibr">46</xref>) further demonstrated metabolic crosstalk between the urea cycle and pyrimidine synthesis, identifying dihydroorotate dehydrogenase (DHODH) as a metabolic vulnerability that integrates nitrogen metabolism with nucleotide biosynthesis.</p>
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<title>Ammonium as a signaling molecule: Impact on pH homeostasis and autophagy</title>
<p>Beyond its role as a metabolic substrate, ammonium serves as an intracellular signaling molecule that modulates key cell processes including pH homeostasis, autophagy and stress adaptation. Ammonium exists in equilibrium with ammonia, which freely diffuses across membranes and accepts protons to form ammonium, thereby serving as a mobile pH buffer. Chatterjee <italic>et al</italic> (<xref rid="b47-or-56-4-09186" ref-type="bibr">47</xref>) demonstrated that membrane AR signaling influences Na&#x002B;/H&#x002B; exchanger activity in PCa cells, establishing a link between hormonal signaling and pH regulatory mechanisms that interface with ammonium partitioning.</p>
<p>Accumulation of intracellular ammonium alkalinizes acidic compartments including lysosomes, disrupting the proton gradient required for optimal lysosomal hydrolase activity and autophagic flux. Yang <italic>et al</italic> (<xref rid="b48-or-56-4-09186" ref-type="bibr">48</xref>) reported that curcumin induces both apoptosis and protective autophagy in CRPCa cells through mechanisms involving iron chelation, highlighting the interconnectedness of metal homeostasis, oxidative stress and autophagic regulation. Ammonium accumulation influences stress adaptation pathways by modulating mTOR signaling and activating stress-responsive transcription factors. Chen <italic>et al</italic> (<xref rid="b49-or-56-4-09186" ref-type="bibr">49</xref>) developed an ammonia-induced calcium phosphate nanostructure that provides insight into how local ammonium concentrations may influence bone metastasis, linking nitrogen metabolism with the establishment of metastatic niches. These signaling functions establish ammonium as a pleiotropic mediator that integrates metabolic state with cell stress responses.</p>
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<title>Ammonium accumulation: Metabolic support vs. immunosuppression</title>
<p>Ammonium accumulation within the prostate TME exerts paradoxical effects, simultaneously supporting tumor metabolic adaptation while suppressing antitumor immune responses. For cancer cells, ammonium serves as a nitrogen reservoir that can be assimilated into amino acids and nucleotides via GLUD and GLUL, supporting biosynthetic capacity under nutrient-limited conditions. Metabolomic profiling by Yu <italic>et al</italic> (<xref rid="b50-or-56-4-09186" ref-type="bibr">50</xref>) identified distinct metabolic signatures in plasma and urine from patients with PCa, revealing alterations in nitrogenous compounds that reflect systemic metabolic reprogramming.</p>
<p>However, the ammonium accumulation that supports tumor metabolism imposes immunosuppressive consequences on infiltrating immune cells. Ye <italic>et al</italic> (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>) reviewed how ammonium metabolic reprogramming drives immunosuppression within the prostate TME through multiple mechanisms including polarization of tumor-associated macrophages (TAMs) toward the M2 phenotype, induction of T cell dysfunction and promotion of myeloid-derived suppressor cell (MDSC) accumulation; direct primary evidence for ammonium-induced T cell dysfunction has been reported in colorectal cancer and effector T cell models (<xref rid="b51-or-56-4-09186" ref-type="bibr">51</xref>,<xref rid="b52-or-56-4-09186" ref-type="bibr">52</xref>). Ammonium impairs T cell proliferation and effector function by interfering with T cell receptor signaling and inducing metabolic stress, while simultaneously promoting macrophage arginase activity and anti-inflammatory cytokine production. The dual nature of ammonium accumulation creates a therapeutic paradox: Interventions that block ammonium production may deprive tumors of nitrogen for biosynthesis, but interventions that promote ammonium accumulation may reinforce immunosuppression. Understanding this duality is key for developing therapeutic strategies that target nitrogen metabolism without compromising antitumor immunity, positioning ammonium metabolism as a key node connecting tumor biology with immune evasion in PCa (<xref rid="b51-or-56-4-09186" ref-type="bibr">51</xref>,<xref rid="b52-or-56-4-09186" ref-type="bibr">52</xref>).</p>
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</sec>
</sec>
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<label>4.</label>
<title>Metabolic reprogramming of immune cells in the prostate TME</title>
<p>The prostate TME represents a dynamic ecosystem wherein metabolic reprogramming extends beyond cancer cells to encompass diverse immune populations. The competition for limited nutrients, accumulation of metabolic waste products and establishment of hypoxic niches reshape immune cell metabolism, driving functional polarization toward immunosuppressive phenotypes that facilitate tumor progression. Understanding the metabolic adaptations of TAMs, T cells, MDSCs and dendritic cells (DCs) is essential for appreciating how glutamine and ammonium metabolism intersect with antitumor immunity (<xref rid="tI-or-56-4-09186" ref-type="table">Table I</xref>).</p>
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<title>Metabolic landscape of the prostate TME: Nutrient competition, hypoxia and lactate accumulation</title>
<p>The prostate TME is characterized by metabolic alterations that create a hostile landscape for infiltrating immune cells while supporting tumor growth. Hypoxia is a dominant feature, arising from aberrant vascularization and elevated oxygen consumption by proliferating tumor cells. Bharti <italic>et al</italic> (<xref rid="b53-or-56-4-09186" ref-type="bibr">53</xref>) demonstrated distinct hypoxia patterns in primary and metastatic PCa environments, revealing that oxygen gradients shape regional metabolic heterogeneity and influence therapeutic responses. Arocena <italic>et al</italic> (<xref rid="b54-or-56-4-09186" ref-type="bibr">54</xref>) developed a variant of coverslip hypoxia to visualize tumor cell alterations at increasing distances from an oxygen source, providing mechanistic insight into how oxygen tension gradients drive metabolic adaptation. Bery <italic>et al</italic> (<xref rid="b55-or-56-4-09186" ref-type="bibr">55</xref>) demonstrated that hypoxia promotes PCa aggressiveness by upregulating epithelial-mesenchymal transition activator zinc finger E-box binding homeobox 1 and potassium channel expression, linking oxygen deprivation with enhanced metastatic potential.</p>
<p>Lactate accumulation is a defining feature of the PCa TME, resulting from elevated glycolytic flux and the Warburg effect in cancer cells. Bok <italic>et al</italic> (<xref rid="b56-or-56-4-09186" ref-type="bibr">56</xref>) used dual-agent hyperpolarized carbon-13 magnetic resonance spectroscopic imaging to reveal the role of lactate metabolism in PCa progression and metastases, demonstrating that lactate serves not only as a waste product but as a critical metabolic fuel and signaling molecule. Comito <italic>et al</italic> (<xref rid="b57-or-56-4-09186" ref-type="bibr">57</xref>) demonstrated that lactate modulates CD4<sup>&#x002B;</sup> T cell polarization and induces an immunosuppressive environment through the TLR8/microRNA21 pathway, sustaining prostate carcinoma progression. Chetta <italic>et al</italic> (<xref rid="b58-or-56-4-09186" ref-type="bibr">58</xref>) recently reviewed the clinical implications of lactate as a key metabolite in PCa progression, emphasizing its multifaceted roles in promoting angiogenesis, suppressing antitumor immunity and driving therapy resistance. The convergence of hypoxia, nutrient competition and lactate accumulation establishes a metabolic milieu that influences immune cell function and polarization.</p>
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<title>TAMs: Glutamine-driven M2 polarization and metabolic plasticity</title>
<p>TAMs represent the most abundant immune population within the prostate TME and exhibit metabolic plasticity that enables adaptation to microenvironmental cues. El-Kenawi <italic>et al</italic> (<xref rid="b59-or-56-4-09186" ref-type="bibr">59</xref>) demonstrated that acidity promotes tumor progression by altering macrophage phenotype in PCa, establishing a direct link between extracellular pH and TAM polarization toward immunosuppressive states. Banerjee <italic>et al</italic> (<xref rid="b60-or-56-4-09186" ref-type="bibr">60</xref>) examined differential expression of efferocytosis- and phagocytosis-associated genes in TAMs exposed to patient-derived PCa ME, revealing context-dependent transcriptional programs that shape macrophage function. Han <italic>et al</italic> (<xref rid="b61-or-56-4-09186" ref-type="bibr">61</xref>) demonstrated that IL-6 produced by prostate epithelial cells stimulated with <italic>Trichomonas vaginalis</italic> promotes proliferation of PCa cells by inducing M2 polarization of human monocytic leukemia cell line THP-1-derived macrophages, highlighting the role of infectious agents in shaping TAM phenotypes.</p>
<p>Glutamine metabolism serves a key role in driving TAM polarization and function. Praharaj <italic>et al</italic> (<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>) demonstrated that metabolic reprogramming of TAMs using the glutamine antagonist JHU083 drives tumor immunity in myeloid-rich PCa and bladder cancer: JHU083 treatment reprogrammed immunosuppressive TAMs toward a pro-inflammatory phenotype, increasing tumor cell phagocytosis, diminishing pro-angiogenic capacity and promoting inflammatory signaling. Masetti <italic>et al</italic> (<xref rid="b62-or-56-4-09186" ref-type="bibr">62</xref>) identified lipid-loaded TAMs as key sustainers of tumor growth and invasiveness in PCa, revealing that metabolic substrate availability shapes macrophage effector functions. Li <italic>et al</italic> (<xref rid="b63-or-56-4-09186" ref-type="bibr">63</xref>) demonstrated that dauricine regulates PCa progression by inhibiting PI3K/AKT-dependent M2 polarization of macrophages, providing pharmacological evidence for targeting macrophage metabolism. The metabolic plasticity of TAMs represents both a vulnerability and a therapeutic opportunity in PCa.</p>
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<title>T cell metabolism: Glutamine deprivation, effector dysfunction and exhaustion</title>
<p>T cells infiltrating the prostate TME face metabolic challenges that compromise their antitumor effector function and promote exhaustion. Nutrient competition between rapidly proliferating cancer and T cells creates an environment of glutamine deprivation that impairs T cell activation and proliferation. Guan <italic>et al</italic> (<xref rid="b64-or-56-4-09186" ref-type="bibr">64</xref>) demonstrated that AR activity in T cells limits checkpoint blockade efficacy, revealing that hormonal signaling directly influences T cell metabolism and function within the prostate TME. Chang <italic>et al</italic> (<xref rid="b65-or-56-4-09186" ref-type="bibr">65</xref>) recently demonstrated that 1-pyrroline-5-carboxylate inhibits T cell glycolysis in the PCa microenvironment through the Src homology region 2 domain-containing phosphatase 1/pyruvate kinase M2/lactate dehydrogenase B pathway, identifying a novel metabolite-driven immunosuppressive mechanism.</p>
<p>Memory T cell differentiation and maintenance are influenced by the metabolic landscape. Rastogi and McNeel (<xref rid="b66-or-56-4-09186" ref-type="bibr">66</xref>) characterized prostate tumor immune ME changes following immunotherapy, revealing shared features between patients who developed antitumor responses and those experiencing immune-associated adverse events. Zhou <italic>et al</italic> (<xref rid="b67-or-56-4-09186" ref-type="bibr">67</xref>) demonstrated that upregulation of E-prostanoid receptor 4 attenuates the killing ability of CD8<sup>&#x002B;</sup> T cells against PCa cells via the PI3K/AKT signaling pathway, identifying a potential target for restoring T cell cytotoxicity. The metabolic competition between tumors and T cells for glutamine and other nutrients shapes the outcome of antitumor immune responses. Molina <italic>et al</italic> (<xref rid="b68-or-56-4-09186" ref-type="bibr">68</xref>) demonstrated that regulatory and memory T lymphocytes infiltrating prostate tumors predict long-term clinical outcomes, emphasizing the prognostic value of T cell subset distribution.</p>
</sec>
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<title>MDSCs and DCs: Metabolic adaptation</title>
<p>MDSCs and DCs represent complementary arms of the myeloid compartment that orchestrate immunosuppression within the prostate TME. MDSCs expand in patients with PCa and suppress T cell responses through multiple mechanisms including arginase-1 expression, reactive oxygen species production and nutrient depletion. Hellsten <italic>et al</italic> (<xref rid="b69-or-56-4-09186" ref-type="bibr">69</xref>) demonstrated the STAT3 inhibitor galiellalactone inhibits the generation of MDSC-like monocytes by PCa cells and decreases immunosuppressive and tumorigenic factors, validating MDSC targeting as a therapeutic strategy. Fu <italic>et al</italic> (<xref rid="b70-or-56-4-09186" ref-type="bibr">70</xref>) examined the role of MDSCs in high-dose-irradiated transgenic adenocarcinoma of the mouse prostate cell line c1 tumors, identifying them as both a therapeutic target and an index for assessing TME status. Koinis <italic>et al</italic> (<xref rid="b71-or-56-4-09186" ref-type="bibr">71</xref>) reviewed MDSCs in PCa, emphasizing their key role in immune evasion. Siemi&#x0144;ska and Baran (<xref rid="b72-or-56-4-09186" ref-type="bibr">72</xref>) further positioned MDSCs as key players and promising therapy targets in PCa, reviewing strategies for MDSC depletion and functional inhibition.</p>
<p>DCs, key for priming antitumor T cell responses, exhibit metabolic and functional alterations within the prostate TME. Feriz <italic>et al</italic> (<xref rid="b73-or-56-4-09186" ref-type="bibr">73</xref>) used single-cell RNA sequencing to demonstrate heterogeneous transcriptional signatures in tumor-infiltrating DCs in PCa, revealing distinct DC subsets with differential immunostimulatory capacities. Hawlina <italic>et al</italic> (<xref rid="b74-or-56-4-09186" ref-type="bibr">74</xref>) demonstrated that DC-based vaccines prolong survival and time to next therapy independently of vaccine cell number, providing clinical evidence for DC-based immunotherapy. Hensler <italic>et al</italic> (<xref rid="b75-or-56-4-09186" ref-type="bibr">75</xref>) identified peripheral gene signatures that distinguish distinct immunotypes of patients with cancer with therapeutic implications for autologous DC-based vaccines, offering biomarkers for patient selection. The metabolic adaptation of MDSCs and DCs to the glutamine-depleted, ammonium-accumulating prostate TME shapes their immunosuppressive vs. immunostimulatory functions. Li <italic>et al</italic> (<xref rid="b76-or-56-4-09186" ref-type="bibr">76</xref>) demonstrated that AT-rich interactive domain-containing protein 1A loss induces polymorphonuclear MDSC chemotaxis and promotes PCa progression, revealing genetic determinants of myeloid cell recruitment. The immunosuppressive effects of MDSCs and DCs, coupled with their metabolic reprogramming, establishes a-barrier to antitumor immunity that must be overcome for successful immunotherapy.</p>
</sec>
</sec>
</sec>
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<label>5.</label>
<title>Bidirectional metabolic-immune crosstalk: Glutamine and ammonium as key mediators</title>
<p>The association between tumor metabolism and antitumor immunity is not unidirectional but represents a dynamic, bidirectional association wherein metabolic reprogramming of cancer cells shapes immune cell function, and immune-derived signals feedback to modulate tumor metabolic pathways (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>,<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>). This reciprocal crosstalk establishes a self-reinforcing cycle that drives PCa progression and immune evasion. Glutamine and ammonium metabolism occupy central positions within this association, serving both as substrates for tumor growth and as critical mediators of immunosuppression. Understanding these bidirectional interactions is key for developing therapeutic strategies that simultaneously target tumor metabolism and enhance antitumor immunity (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>). <xref rid="f3-or-56-4-09186" ref-type="fig">Fig. 3</xref> provides a schematic overview of the bidirectional metabolic-immune crosstalk, illustrating the tumor-derived signals, nutrient competition, ammonium-mediated immunosuppression, redox interplay and immune-derived feedback loops that shape the prostate TME.</p>
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<title/>
<sec>
<title>Tumor-derived signals shaping immune cell metabolism: Lactate, kynurenine and extracellular vesicles</title>
<p>PCa cells actively remodel the metabolic landscape of the TME through secretion of metabolites, enzymes and extracellular vesicles that directly modulate immune cell function. Lactate, long considered a metabolic waste product, has emerged as a potent signaling molecule that reprograms immune cell metabolism and polarization (<xref rid="b77-or-56-4-09186" ref-type="bibr">77</xref>). Stepka <italic>et al</italic> (<xref rid="b77-or-56-4-09186" ref-type="bibr">77</xref>) reviewed metabolic and amino acid alterations in the TME, emphasizing that lactate accumulation suppresses T cell proliferation and promotes regulatory T cell differentiation while driving macrophage polarization toward immunosuppressive M2 phenotypes.</p>
<p>Extracellular vesicles represent an additional mechanism for metabolic communication between tumor cells and immune populations. Mo <italic>et al</italic> (<xref rid="b78-or-56-4-09186" ref-type="bibr">78</xref>) demonstrated that long non-coding RNA nuclear-enriched abundant transcript 1 shuttled by PCa cell-secreted exosomes initiates osteoblastic phenotypes in the bone metastatic ME through the microRNA-205-5p/runt-related transcription factor 2/splicing factor proline- and glutamine-rich pathway, revealing that exosomal cargo shapes distant ME niches. Lee <italic>et al</italic> (<xref rid="b79-or-56-4-09186" ref-type="bibr">79</xref>) demonstrated that extracellular vesicles derived from PCa cells induce metabolic reprogramming toward a glycolysis phenotype in recipient cells, suggesting vesicle-mediated transfer of metabolic regulators contributes to the establishment of a glycolytic, immunosuppressive ME. Ippolito <italic>et al</italic> (<xref rid="b80-or-56-4-09186" ref-type="bibr">80</xref>) showed that extracellular pH modulates neuroendocrine PCa cell metabolism and susceptibility to mitochondrial inhibitors, indicating that the acidic ME resulting from tumor metabolism further influences immune cell function. These tumor-derived signals establish a metabolic landscape that favors immunosuppression while supporting tumor progression.</p>
</sec>
<sec>
<title>Glutamine competition between tumor cells and infiltrating lymphocytes</title>
<p>Glutamine is a key nutrient for both proliferating tumor cells and activated lymphocytes, creating a metabolic competition within the prostate TME that shapes antitumor immunity. Alhallaq and Sultan (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>) positioned glutamine and glutamate metabolic reprogramming at the center of PCa pathogenesis, describing the dynamic competition between tumor and immune cells for this essential amino acid. This competition deprives infiltrating T cells of the glutamine required for activation, proliferation and effector function, contributing to the exhausted T cell phenotype characteristic of advanced PCa. Matos <italic>et al</italic> (<xref rid="b81-or-56-4-09186" ref-type="bibr">81</xref>) examined the role of arginine and arginases in modulating metabolism, TME and PCa progression, demonstrating that competition for amino acid substrates extends beyond glutamine to encompass multiple nitrogenous nutrients.</p>
<p>Bhowmick <italic>et al</italic> (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>) reviewed strategies for targeting glutamine metabolism in PCa, emphasizing that therapeutic interventions should consider the differential glutamine requirements of tumor cells vs. antitumor immune populations. This dual benefit arises from differential sensitivity to glutamine antagonism, with tumor-associated macrophages being susceptible to metabolic reprogramming toward pro-inflammatory phenotypes.</p>
</sec>
<sec>
<title>Ammonium as an immunosuppressive metabolite: Mechanisms of T cell dysfunction and macrophage polarization toward M2 phenotype</title>
<p>Beyond its role as a nitrogenous waste product, ammonium serves as an active immunosuppressive metabolite that directly impairs T cell function and promotes macrophage polarization toward tumor-supportive phenotypes. Ye <italic>et al</italic> (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>) reviewed ammonium metabolism rewiring in the PCa ME, demonstrating that ammonium accumulation drives immunosuppression through multiple mechanisms including polarization of TAMs toward the M2 phenotype, induction of T cell dysfunction and promotion of MDSC accumulation. Primary studies have shown that ammonia directly impairs T cell proliferation and effector function through lysosomal alkalization, mitochondrial swelling and impaired autophagic flux (<xref rid="b51-or-56-4-09186" ref-type="bibr">51</xref>,<xref rid="b52-or-56-4-09186" ref-type="bibr">52</xref>): Ammonium impairs T cell proliferation and effector function by interfering with T cell receptor signaling and inducing metabolic stress, while simultaneously promoting macrophage arginase activity and anti-inflammatory cytokine production. Elia <italic>et al</italic> (<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>) demonstrated that nitrogen handling varies between tumor types, with PCa exhibiting unique adaptations that favor ammonium accumulation and recycling. Yang <italic>et al</italic> (<xref rid="b82-or-56-4-09186" ref-type="bibr">82</xref>) reviewed TME-driven drug resistance in urological cancers, highlighting that ammonium-mediated immunosuppression contributes to the failure of immunotherapeutic approaches and represents a potential therapeutic target. The immunosuppressive consequences of ammonium accumulation create a therapeutic paradox: Interventions that block ammonium production may deprive tumors of nitrogen for biosynthesis, but interventions that promote ammonium accumulation may reinforce immunosuppression. This duality positions ammonium metabolism as a key node connecting tumor biology with immune evasion in PCa.</p>
</sec>
<sec>
<title>Redox interplay: Glutathione metabolism linking tumor antioxidant defense and immune suppression</title>
<p>Glutathione metabolism represents a key intersection where tumor antioxidant defense mechanisms directly influence immune cell function within the prostate microenvironment. Wang <italic>et al</italic> (<xref rid="b83-or-56-4-09186" ref-type="bibr">83</xref>) reviewed the integrated regulation of ferroptosis in PCa, demonstrating that glutathione peroxidase 4 and glutathione metabolism protect tumor cells from oxidative stress while simultaneously depleting the antioxidant capacity available to infiltrating immune cells. Linares <italic>et al</italic> (<xref rid="b84-or-56-4-09186" ref-type="bibr">84</xref>) demonstrated that activating transcription factor 4-induced metabolic reprogramming represents a synthetic vulnerability of p62-deficient tumor stroma, revealing that oxidative stress responses in the TME are coordinately regulated and influence both cancer cells and supporting stromal elements. Zhang <italic>et al</italic> (<xref rid="b15-or-56-4-09186" ref-type="bibr">15</xref>) showed that improved antitumor activity against PCa can be achieved through combined targeting of Myc and GFAT-1, the rate-limiting enzyme in the hexosamine biosynthetic pathway that branches from glutamine metabolism and influences protein glycosylation and redox balance. The glutathione synthesis pathway directly competes with other glutamine-using pathways for substrate, creating metabolic trade-offs that influence both tumor survival and immune function. Tumor cells with elevated glutathione synthesis capacity exhibit enhanced resistance to oxidative stress induced by inflammatory cytokines, while depleting the local cysteine and glutamate pools required for optimal T cell activation and proliferation. This redox interplay establishes a feedback loop wherein tumor antioxidant defense mechanisms actively suppress the oxidative burst required for effective antitumor immunity (<xref rid="b15-or-56-4-09186" ref-type="bibr">15</xref>,<xref rid="b24-or-56-4-09186" ref-type="bibr">24</xref>).</p>
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<sec>
<title>Feedback loops: Immune-derived cytokines modulating tumor glutamine and ammonium flux</title>
<p>The bidirectional nature of metabolic-immune crosstalk is evident in the feedback loops wherein immune-derived cytokines directly modulate tumor cell glutamine and ammonium metabolism. H&#x00F6;nscheid <italic>et al</italic> (<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>) demonstrated that PCa-associated fibroblasts manipulate glutamine metabolism in cancer cells through paracrine signaling, revealing that non-immune stromal elements also participate in this metabolic interaction. Lasorsa <italic>et al</italic> (<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>) demonstrated that inflammatory cytokines including interferon-&#x03B3; and tumor necrosis factor-&#x03B1; produced by infiltrating lymphocytes feedback to modulate glutamine transporter expression, GLS activity and urea cycle enzyme expression in cancer cells. These immune-derived signals constrain or enhance tumor metabolic capacity depending on the context and duration of exposure. Acute exposure to inflammatory cytokines may suppress glutamine uptake and metabolism, contributing to the anti-proliferative effects of immune activation (<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>). However, chronic exposure to low-level inflammatory signals, characteristic of the TME, may select for tumor cells with adaptive metabolic programs that maintain glutamine flux despite cytokine-mediated stress. By intervening at the metabolic level, it is possible to simultaneously disrupt tumor metabolic adaptation and enhance the immunostimulatory capacity of TAMs, creating a cycle of antitumor immunity (<xref rid="b7-or-56-4-09186" ref-type="bibr">7</xref>). Understanding these complex feedback associations is key for developing combination therapies that maximize therapeutic benefit while minimizing resistance mechanisms.</p>
</sec>
<sec>
<title>Integrated regulatory network of glutamine-ammonium mediated metabolic-immune crosstalk</title>
<p>The bidirectional crosstalk between tumor metabolism and antitumor immunity in PCa operates through an integrated regulatory network organized across three interconnected levels. At the transcriptional level, oncogenic drivers including AR, Myc and mutant p53 coordinate glutamine metabolic gene expression through direct transcriptional activation and epigenetic modulation (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>). AR differentially regulates metabolic pathways via full-length AR vs. AR-V7, while Myc drives GLS expression and glutamine uptake through transcriptional programs (<xref rid="b64-or-56-4-09186" ref-type="bibr">64</xref>). PTEN loss enhances glutamine dependency via PI3K/AKT/mTOR pathway activation, and p53 status modulates mitochondrial glutamine use. At the metabolite signaling level, glutamine-derived ammonium directly impairs T cell receptor signaling and promotes macrophage arginase activity, establishing metabolite-driven immunosuppression (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b65-or-56-4-09186" ref-type="bibr">65</xref>). Simultaneously, glutamine-derived glutathione metabolism links tumor antioxidant defense with immune suppression through depletion of local antioxidant capacity (<xref rid="b77-or-56-4-09186" ref-type="bibr">77</xref>). At the cell interaction level, feedback loops complete the bidirectional circuit: Immune-derived cytokines including interferon-&#x03B3; and tumor necrosis factor-&#x03B1; modulate glutamine transporter expression, GLS activity and urea cycle enzyme expression in cancer cells, while tumor-secreted lactate, kynurenine and extracellular vesicles reshape immune cell metabolism and polarization (<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>,<xref rid="b77-or-56-4-09186" ref-type="bibr">77</xref>). This multi-level network exhibits redundancy and adaptive plasticity, wherein pathway inhibition at one node typically triggers compensatory activation at alternative nodes, explaining the limited efficacy of monotherapy and providing the rationale for combinatorial strategies targeting multiple network nodes simultaneously.</p>
</sec>
</sec>
</sec>
<sec>
<label>6.</label>
<title>Therapeutic strategies targeting the metabolic-immune interface</title>
<p>The recognition that glutamine and ammonium metabolism orchestrate bidirectional crosstalk between tumor cells and immune populations has opened novel therapeutic avenues targeting the metabolic-immune interface. Rather than pursuing tumor cell-intrinsic metabolic disruption or immune activation as separate strategies, emerging approaches aim to simultaneously inhibit tumor metabolic adaptation while reprogramming the immunosuppressive TME toward antitumor immunity (<xref rid="tII-or-56-4-09186" ref-type="table">Table II</xref>).</p>
<sec>
<title/>
<sec>
<title>Glutamine metabolism inhibitors: GLS inhibitors and transporter blockade in preclinical and clinical development</title>
<p>Pharmacological targeting of glutamine metabolism has emerged as a promising therapeutic strategy, with multiple agents advancing through preclinical and clinical development for PCa. The GLS inhibitor CB-839 (telaglenastat) is the most clinically advanced agent, having demonstrated the ability to enhance PCa radiosensitivity by regulating redox state, stemness and autophagy (<xref rid="b85-or-56-4-09186" ref-type="bibr">85</xref>). Bhowmick <italic>et al</italic> (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>) reviewed strategies for targeting glutamine metabolism in PCa, emphasizing that therapeutic interventions should consider the differential glutamine requirements of tumor cells vs. antitumor immune populations. The glutamine antagonist JHU083, a prodrug that selectively activates within the TME, has shown promise in a preclinical study by reprogramming tumor-associated macrophages and enhancing antitumor immunity (<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>). Moon <italic>et al</italic> (<xref rid="b40-or-56-4-09186" ref-type="bibr">40</xref>) demonstrated that targeting glutamine dependence with DRP-104, a novel glutamine antagonist, inhibits proliferation and tumor growth of CRPCa, validating glutamine metabolism as a therapeutic vulnerability in advanced disease. Beyond enzyme inhibition, transporter blockade targeting ASCT2 has shown efficacy in a preclinical model with Ono <italic>et al</italic> (<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>) demonstrating that fluciclovine uptake is associated with ASCT2 expression in CRPCa cells, providing both a therapeutic target and an imaging biomarker.</p>
<p>GLS inhibitor CB-839, glutamine antagonist prodrug JHU083 and glutamine antagonist DRP-104, exhibit distinct advantages and limitations that inform their therapeutic applicability. CB-839 offers the advantage of selective GLS inhibition with an established safety profile in clinical trials, being well-tolerated with mostly mild adverse effects including nausea, fatigue and photophobia (<xref rid="b6-or-56-4-09186" ref-type="bibr">6</xref>,<xref rid="b86-or-56-4-09186" ref-type="bibr">86</xref>). However, its clinical efficacy as monotherapy in PCa is limited; single-drug trials do not demonstrate notable clinical benefits, and combination studies with talazoparib were terminated due to challenges in demonstrating efficacy and slow recruitment (<xref rid="b6-or-56-4-09186" ref-type="bibr">6</xref>). Furthermore, residual glutamine metabolism via GLS2 or other pathways may circumvent CB-839-mediated blockade (<xref rid="b25-or-56-4-09186" ref-type="bibr">25</xref>). By contrast, JHU083 and DRP-104, as prodrugs of the broad glutamine antagonist 6-diazo-5-oxo-L-norleucine, provide broader metabolic inhibition by targeting multiple glutamine-utilizing enzymes beyond GLS, including amidotransferases involved in nucleotide biosynthesis (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>). JHU083 offers the advantage of TME-selective activation, which reduces systemic toxicity while achieving potent local glutamine antagonism (<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>). DRP-104 exhibits broader metabolic inhibition compared with CB-839, further suppressing glycolysis and glutamine-dependent nucleotide biosynthesis (<xref rid="b3-or-56-4-09186" ref-type="bibr">3</xref>). However, the broad-spectrum nature of these antagonists raises concerns regarding off-target effects and potential toxicity and their clinical development remains at earlier stages compared with CB-839 (<xref rid="b6-or-56-4-09186" ref-type="bibr">6</xref>). The differential mechanisms of these agents and selective GLS inhibition vs. broad glutamine antagonism suggest that patient stratification based on tumor metabolic dependency may be key for optimizing therapeutic benefit.</p>
</sec>
<sec>
<title>Targeting ammonium metabolism and nitrogen balance: Urea cycle enzymes, GLUD and ammonia scavengers</title>
<p>The recognition that ammonium metabolism represents a potential therapeutic axis has spurred investigation into strategies targeting nitrogen handling in PCa. Ye <italic>et al</italic> (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>) reviewed ammonium metabolism rewiring in the PCa ME, highlighting that urea cycle dysregulation creates tumor-specific vulnerabilities that can be exploited therapeutically. Targeting urea cycle enzymes, GLUD and ammonia scavengers represents an emerging therapeutic frontier with potential to disrupt nitrogen recycling while alleviating ammonium-mediated immunosuppression. Labroy <italic>et al</italic> (<xref rid="b46-or-56-4-09186" ref-type="bibr">46</xref>) demonstrated metabolic crosstalk between the urea cycle and pyrimidine synthesis, identifying DHODH as a metabolic vulnerability that integrates nitrogen metabolism with nucleotide biosynthesis in both AR-positive and -negative PCa cells. This finding suggests that targeting nitrogen handling may be effective across PCa subtypes. Luo <italic>et al</italic> (<xref rid="b45-or-56-4-09186" ref-type="bibr">45</xref>) revealed that PCa stem cells exhibit aberrant urea cycle activity with selective upregulation of specific urea cycle enzymes that support stemness maintenance, indicating that nitrogen partitioning is dynamically regulated across tumor subpopulations and may require combination strategies for effective targeting. The therapeutic potential of targeting ammonium metabolism extends beyond direct enzyme inhibition to include ammonia scavengers that may alleviate immunosuppression while depriving tumors of recyclable nitrogen.</p>
<p>Ammonium-targeting strategies are categorized into three principal approaches with distinct translational profiles. Urea cycle enzyme modulation is the most mechanistically direct strategy, aiming to restore ureagenesis and redirect nitrogen away from anabolic pathways, however, the multi-enzyme nature of the urea cycle creates pharmacological complexity, and, to the best of our knowledge, no urea cycle-activating agent has entered PCa clinical development (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b44-or-56-4-09186" ref-type="bibr">44</xref>). GLUD and GLUL inhibition offers a more pharmacologically tractable single-target approach to block nitrogen recycling within tumor cells, but creates a key immunological paradox: Inhibiting these enzymes may local ammonium concentrations, potentially exacerbating T cell dysfunction and macrophage M2 polarization (<xref rid="b51-or-56-4-09186" ref-type="bibr">51</xref>,<xref rid="b52-or-56-4-09186" ref-type="bibr">52</xref>). Ammonia scavengers, such as sodium phenylbutyrate, are the most translationally attractive strategy due to their US Food and Drug Administration-approved status for urea cycle disorders, yet their efficacy in the PCa TME remains unproven and systemic ammonia scavenging may affect nitrogen homeostasis (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>).</p>
<p>To the best of our knowledge, none of the aforementioned ammonium-targeting strategies has been evaluated in combination with immune checkpoint blockade in PCa, representing a translational gap (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>). The selection of optimal strategy will likely depend on balancing tumor metabolic disruption against the preservation of antitumor immunity: Urea cycle modulation and ammonia scavengers may alleviate ammonium-mediated immunosuppression but may support tumor nitrogen recycling, whereas GLUD/GLUL inhibition may starve tumors of nitrogen at the cost of worsening the immunosuppressive TME. Future research should prioritize combinatorial regimens that simultaneously target multiple nodes of ammonium metabolism, though such approaches remain hypothetical (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b82-or-56-4-09186" ref-type="bibr">82</xref>).</p>
</sec>
<sec>
<title>Combinatorial approaches: Metabolic inhibitors &#x002B; immune checkpoint blockade</title>
<p>The limited efficacy of immune checkpoint inhibitors as monotherapy in PCa has driven investigation into combination strategies that sensitize tumors to immunotherapy. Sharma <italic>et al</italic> (<xref rid="b87-or-56-4-09186" ref-type="bibr">87</xref>) reported preliminary analysis of patients in the CheckMate 650 trial, demonstrating that nivolumab &#x002B; ipilimumab exhibits clinical activity in metastatic CRPCa, with response rates associated with tumor mutational burden and immune infiltration. Shenderov <italic>et al</italic> (<xref rid="b88-or-56-4-09186" ref-type="bibr">88</xref>) conducted a phase 2 non-randomized clinical trial of nivolumab &#x002B; ipilimumab, with or without enzalutamide, in AR-V7-expressing metastatic CRPCa, revealing that combination immunotherapy overcomes some mechanisms of treatment resistance. Powles <italic>et al</italic> (<xref rid="b89-or-56-4-09186" ref-type="bibr">89</xref>) reported results from a randomized phase 3 trial of atezolizumab with enzalutamide vs. enzalutamide alone in metastatic CRPCa, demonstrating that while the addition of immunotherapy did not improve outcomes in unselected patients, biomarker-defined subgroups may derive benefit. Hegde <italic>et al</italic> (<xref rid="b90-or-56-4-09186" ref-type="bibr">90</xref>) conducted a phase 1 dose-escalation study evaluating the safety and tolerability of evofosfamide, a hypoxia-activated prodrug, in combination with ipilimumab in advanced solid malignancy, providing proof-of-concept for combining ME-targeted metabolic agents with immune checkpoint blockade. These studies suggest that metabolic inhibitors targeting glutamine and ammonium metabolism may enhance the efficacy of immune checkpoint blockade by alleviating metabolic competition and immunosuppression within the TME.</p>
<p>The combination of metabolic inhibitors with immune checkpoint blockade presents both opportunities and challenges. Preclinical evidence demonstrates that combining glutamine antagonism (via JHU083 or DRP-104) or GLS inhibition (via CB-839) with PD-1/PD-L1 blockade enhances antitumor immunity in mouse models (<xref rid="b3-or-56-4-09186" ref-type="bibr">3</xref>,<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>). However, metabolic inhibition can paradoxically impair CD8&#x002B; T cell function by upregulating PD-L1 expression on tumor cells via a reactive oxygen species-dependent EGFR/ERK1/2/c-Jun pathway, necessitating concurrent checkpoint blockade to restore T cell function (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>). The differential effects of GLS inhibition vs. broad glutamine antagonism on immune cell populations remain incompletely characterized, representing a key knowledge gap for optimizing combination strategies.</p>
</sec>
<sec>
<title>Imaging metabolic vulnerability and biomarker development for patient stratification</title>
<p>The clinical translation of metabolic-immune therapies requires parallel development of imaging biomarkers for patient selection and response monitoring. Ono <italic>et al</italic> (<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>) demonstrated that fluciclovine uptake is associated with ASCT2 expression in CRPCa cells, validating amino acid positron emission tomography (PET) imaging as a non-invasive approach to assess glutamine transporter expression and target engagement. Lowentritt and Kipper (<xref rid="b91-or-56-4-09186" ref-type="bibr">91</xref>) provided a guide for treating patients with biochemical recurrence of PCa using fluciclovine PET/computed tomography, emphasizing the clinical utility of metabolic imaging for detecting recurrent disease. Bhowmick <italic>et al</italic> (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>) reviewed strategies for targeting glutamine metabolism in PCa, highlighting the need for predictive biomarkers to identify patients most likely to benefit from metabolic interventions. Smith <italic>et al</italic> (<xref rid="b18-or-56-4-09186" ref-type="bibr">18</xref>) demonstrated that plasma glutamine levels may serve as prognostic biomarkers in localized PCa, with alterations in circulating glutamine associated with disease outcome, suggesting that liquid biopsy approaches may complement imaging for patient stratification. The integration of metabolic imaging with circulating biomarkers may enable precision medicine approaches that match patients with specific metabolic vulnerabilities to targeted therapy, ultimately improving outcomes while minimizing unnecessary toxicity.</p>
</sec>
</sec>
</sec>
<sec>
<label>7.</label>
<title>Future perspectives</title>
<p>The present review established the glutamine-ammonium metabolic axis as a key hub integrating tumor progression, immune evasion and therapeutic resistance in PCa. From glutamine addiction driven by oncogenic signaling pathways including AR and Myc, to the role of ammonium as an active immunosuppressive metabolite rather than waste, the bidirectional crosstalk between tumor metabolism and antitumor immunity affects disease outcomes. Alhallaq and Sultan (<xref rid="b9-or-56-4-09186" ref-type="bibr">9</xref>) reviewed the central role of glutamine and glutamate metabolic reprogramming in promoting PCa, emphasizing that this axis represents both a vulnerability and a therapeutic opportunity. The convergence of glutamine-dependent bioenergetics, redox homeostasis and epigenetic regulation with ammonium-mediated immunosuppression creates a self-reinforcing cycle that promotes tumor progression while inhibiting antitumor immune responses. Understanding this integrated network is key for developing next-generation therapeutic strategies that simultaneously target tumor metabolism and enhance immune function.</p>
<p>Despite progress, numerous unanswered questions remain regarding the spatiotemporal dynamics and heterogeneity of metabolic-immune interactions within the prostate TME. Single-cell omics technologies are transforming the understanding of cell heterogeneity, with Yu <italic>et al</italic> (<xref rid="b92-or-56-4-09186" ref-type="bibr">92</xref>) demonstrating that single-cell approaches trace the heterogeneity of PCa cells and the TME, revealing distinct metabolic programs across cell subpopulations. Byrne <italic>et al</italic> (<xref rid="b93-or-56-4-09186" ref-type="bibr">93</xref>) demonstrated that metabolic reprogramming is spatially heterogeneous, with distinct metabolic profiles across different regions of the tissue that influence therapeutic response. Wang <italic>et al</italic> (<xref rid="b94-or-56-4-09186" ref-type="bibr">94</xref>) reviewed integrating multi-omics proteomic approaches in the TME and therapeutic resistance mechanisms, suggesting that comprehensive molecular profiling is key for identifying context-dependent metabolic vulnerabilities. The dynamic nature of metabolic adaptation during disease progression and in response to therapy remains poorly understood, with Mizuno and Beltran emphasizing that future directions for precision oncology in PCa should account for temporal evolution of metabolic phenotypes (<xref rid="b95-or-56-4-09186" ref-type="bibr">95</xref>). These technological advances may resolve questions about metabolic heterogeneity and its implications for therapeutic targeting.</p>
<p>The TME represents a complex ecosystem wherein multiple cell types beyond cancer cells contribute to metabolic-immune crosstalk. Cancer-associated fibroblasts are critical regulators of tumor metabolism and immune function, with ChallaSivaKanaka <italic>et al</italic> (<xref rid="b96-or-56-4-09186" ref-type="bibr">96</xref>) and Owen <italic>et al</italic> (<xref rid="b97-or-56-4-09186" ref-type="bibr">97</xref>) demonstrating that CAFs exhibit marked functional heterogeneity and actively promote tumor progression, metastatic dissemination, and immunosuppression through paracrine signaling and extracellular matrix remodeling. Lupsa <italic>et al</italic> (<xref rid="b98-or-56-4-09186" ref-type="bibr">98</xref>) demonstrated PCa-associated fibroblasts, exhibit pronounced functional heterogeneity and actively promote therapeutic resistance through paracrine cytokine signaling and extracellular matrix remodeling, while organ-on-a-chip platforms offer a novel approach for modeling CAF-tumor interactions and screening targeted therapies. Zhou <italic>et al</italic> (<xref rid="b99-or-56-4-09186" ref-type="bibr">99</xref>) elucidated that IL-6 and STAT3 signaling in PCa, driven by cancer-associated fibroblasts, promotes immune evasion and represents a therapeutic opportunity. Chen <italic>et al</italic> (<xref rid="b100-or-56-4-09186" ref-type="bibr">100</xref>) comprehensively reviewed the PCa ME, emphasizing multidimensional regulation of immune cells, vascular system, stromal cells and microbiota. Li <italic>et al</italic> (<xref rid="b101-or-56-4-09186" ref-type="bibr">101</xref>) examined TME-mediated immune evasion and resistance in PCa, synthesizing the key mechanisms by which tumor-stroma crosstalk drives immunosuppression and therapeutic failure, including CAF-derived immunosuppressive cytokines and chemokines, extracellular matrix remodeling that forms a physical barrier to T cell infiltration, and the recruitment of MDSCs and TAMs via metabolic competition and chemokine gradients. The integration of these cell elements creates a highly redundant and adaptive system that complicates therapeutic intervention.</p>
<p>Therapeutic frontiers extend beyond direct targeting of glutamine and ammonium metabolism to encompass epigenetic regulation, ferroptosis and the gut microbiome. Chen <italic>et al</italic> (<xref rid="b102-or-56-4-09186" ref-type="bibr">102</xref>) reviewed advances in ferroptosis for CRPCa treatment, identifying drug targets and combination therapy strategies that intersect with glutamine-dependent glutathione metabolism. Rossetto <italic>et al</italic> (<xref rid="b103-or-56-4-09186" ref-type="bibr">103</xref>) explored the association between purinergic signaling and oxidative stress in PCa, offering perspectives for therapy that may complement metabolic interventions. Epigenetic regulation of metabolism represents another promising avenue, with Espitia-P&#x00E9;rez <italic>et al</italic> (<xref rid="b104-or-56-4-09186" ref-type="bibr">104</xref>) identifying targeting PCa metabolism through transcriptional and epigenetic modulation as a multi-target approach to therapeutic innovation. Naik and Thakur (<xref rid="b105-or-56-4-09186" ref-type="bibr">105</xref>) reviewed the association between epigenetic regulation of TGF-&#x03B2; in cancers, highlighting reciprocal associations between signaling pathways and chromatin modifications. The gut microbiome is a modifiable factor influencing PCa progression and treatment response, with Hao <italic>et al</italic> (<xref rid="b106-or-56-4-09186" ref-type="bibr">106</xref>) reviewing gut microbiota as a multifaceted modulator of PCa. Qasem and El-Sayed (<xref rid="b107-or-56-4-09186" ref-type="bibr">107</xref>) examined the bacterial microbiome and cancer more broadly, summarizing the association between specific bacterial species and cancer development, diagnosis, and treatment, while also discussing mechanisms including genotoxin production, immune modulation, and drug metabolism, alongside future clinical applications such as fecal transplantation, probiotics, prebiotics, and microbiome biomarkers.</p>
<p>The translation of these insights into clinical practice requires parallel development of predictive biomarkers, advanced imaging modalities and personalized treatment strategies. Fidelito <italic>et al</italic> (<xref rid="b108-or-56-4-09186" ref-type="bibr">108</xref>) examined whether targeting metabolism is a realistic goal for personalized medicine in PCa, identifying challenges including tumor metabolic heterogeneity, genetic driver variability, and tumor microenvironment complexity, while highlighting opportunities such as the development of more physiologically relevant preclinical models (e.g., patient-derived xenografts) that better recapitulate <italic>in vivo</italic> tumor metabolism to inform patient stratification. Ottini <italic>et al</italic> (<xref rid="b109-or-56-4-09186" ref-type="bibr">109</xref>) discussed biomarker-driven immunotherapy for precision medicine in PCa, emphasizing the need for molecular stratification to identify patients most likely to benefit from immune-based approaches. San-Jose Manso <italic>et al</italic> (<xref rid="b110-or-56-4-09186" ref-type="bibr">110</xref>) provided a guide for immunome profiling in PCa, outlining how comprehensive immune characterization can inform treatment decisions. Theranostic approaches combining imaging and therapy are evolving, with Sollini <italic>et al</italic> (<xref rid="b111-or-56-4-09186" ref-type="bibr">111</xref>) reviewing radiopharmaceuticals and the future of theranostics in genitourinary cancer. Ma <italic>et al</italic> (<xref rid="b112-or-56-4-09186" ref-type="bibr">112</xref>) discussed nanoparticle-based drug delivery systems in urological oncology, from targeted therapy to precision theranostics, offering strategies for improving therapeutic index. Pati <italic>et al</italic> (<xref rid="b113-or-56-4-09186" ref-type="bibr">113</xref>) reviewed clinical translation for mRNA vaccines in cancer immunotherapy, representing a platform for PCa treatment. As resistance to current therapy remains inevitable due to cell heterogeneity and adaptive metabolic reprogramming, combinatorial strategies targeting multiple nodes of the glutamine-ammonium immune axis may be required for durable clinical benefit.</p>
<p>At the basic research level, priority should be given to elucidating the spatiotemporal dynamics of ammonium accumulation using single-cell and spatial omics technologies (<xref rid="b92-or-56-4-09186" ref-type="bibr">92</xref>,<xref rid="b93-or-56-4-09186" ref-type="bibr">93</xref>), defining the molecular sensors and effectors by which ammonium impairs T cell signaling and drives macrophage M2 polarization (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>,<xref rid="b65-or-56-4-09186" ref-type="bibr">65</xref>) and identifying the causal feedback loops between immune-derived cytokines and tumor ammonium flux using genetically engineered models and organoid systems (<xref rid="b11-or-56-4-09186" ref-type="bibr">11</xref>,<xref rid="b13-or-56-4-09186" ref-type="bibr">13</xref>). At the clinical translation level, predictive biomarkers, including plasma ammonium, urea cycle enzyme signatures and fluciclovine PET for ASCT2 expression, should be developed to enable patient stratification (<xref rid="b18-or-56-4-09186" ref-type="bibr">18</xref>,<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>). Clinical trials should prioritize biomarker-selected populations for glutamine antagonists (CB-839, JHU083, DRP-104) and combination strategies with immune checkpoint blockade, with attention to sequencing and dosing (<xref rid="b10-or-56-4-09186" ref-type="bibr">10</xref>,<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>,<xref rid="b87-or-56-4-09186" ref-type="bibr">87</xref>,<xref rid="b114-or-56-4-09186" ref-type="bibr">114</xref>). The development of ammonia scavengers and urea cycle modulators to alleviate ammonium-mediated immunosuppression represents an additional opportunity for preclinical and early-phase clinical evaluation (<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>). Integration of multi-omics profiling with longitudinal monitoring of metabolic and immune parameters in clinical trials may be key for identifying resistance mechanisms and refining therapeutic strategies.</p>
</sec>
<sec sec-type="conclusion">
<label>8.</label>
<title>Conclusion</title>
<p>The glutamine-ammonium metabolic axis represents a key hub integrating PCa progression with immune evasion. Glutamine dependency fuels tumor growth while ammonium accumulation, traditionally viewed as waste, actively suppresses antitumor immunity through T cell dysfunction and macrophage M2 polarization. This bidirectional crosstalk creates a self-reinforcing cycle that drives therapeutic resistance. Disrupting this metabolic-immune interface through glutamine antagonism or nitrogen balance modulation offers a promising therapeutic strategy for simultaneously inhibiting tumor progression and enhancing antitumor immunity. However, the majority of evidence supporting this approach is derived from preclinical models, and, to the best of our knowledge, no glutamine-targeted agent has been evaluated in combination with immunotherapy in PCa clinical trials to date.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>PW, XL, TM and JM conceived and designed the study. PW, XL and TM performed the literature review. PW and JM wrote and revised the manuscript. Data authentication is not applicable. All authors have read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-or-56-4-09186"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tilki</surname><given-names>D</given-names></name><name><surname>van den Bergh</surname><given-names>RCN</given-names></name><name><surname>Briers</surname><given-names>E</given-names></name><name><surname>Van den Broeck</surname><given-names>T</given-names></name><name><surname>Brunckhorst</surname><given-names>O</given-names></name><name><surname>Darraugh</surname><given-names>J</given-names></name><name><surname>Eberli</surname><given-names>D</given-names></name><name><surname>De Meerleer</surname><given-names>G</given-names></name><name><surname>De Santis</surname><given-names>M</given-names></name><name><surname>Farolfi</surname><given-names>A</given-names></name><etal/></person-group><article-title>EAU-EANM-ESTRO-ESUR-ISUP-SIOG guidelines on prostate cancer. Part II-2024 update: Treatment of relapsing and metastatic prostate cancer</article-title><source>Eur Urol</source><volume>86</volume><fpage>164</fpage><lpage>182</lpage><year>2024</year><pub-id pub-id-type="doi">10.1016/j.eururo.2024.04.010</pub-id><pub-id pub-id-type="pmid">38688773</pub-id></element-citation></ref>
<ref id="b2-or-56-4-09186"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Abida</surname><given-names>W</given-names></name><name><surname>Cyrta</surname><given-names>J</given-names></name><name><surname>Heller</surname><given-names>G</given-names></name><name><surname>Prandi</surname><given-names>D</given-names></name><name><surname>Armenia</surname><given-names>J</given-names></name><name><surname>Coleman</surname><given-names>I</given-names></name><name><surname>Cieslik</surname><given-names>M</given-names></name><name><surname>Benelli</surname><given-names>M</given-names></name><name><surname>Robinson</surname><given-names>D</given-names></name><name><surname>Van Allen</surname><given-names>EM</given-names></name><etal/></person-group><article-title>Genomic correlates of clinical outcome in advanced prostate cancer</article-title><source>Proc Natl Acad Sci USA</source><volume>116</volume><fpage>11428</fpage><lpage>11436</lpage><year>2019</year><pub-id pub-id-type="doi">10.1073/pnas.1902651116</pub-id><pub-id pub-id-type="pmid">31061129</pub-id></element-citation></ref>
<ref id="b3-or-56-4-09186"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Armstrong</surname><given-names>AJ</given-names></name><name><surname>Halabi</surname><given-names>S</given-names></name><name><surname>Luo</surname><given-names>J</given-names></name><name><surname>Nanus</surname><given-names>DM</given-names></name><name><surname>Giannakakou</surname><given-names>P</given-names></name><name><surname>Szmulewitz</surname><given-names>RZ</given-names></name><name><surname>Danila</surname><given-names>DC</given-names></name><name><surname>Healy</surname><given-names>P</given-names></name><name><surname>Anand</surname><given-names>M</given-names></name><name><surname>Rothwell</surname><given-names>CJ</given-names></name><etal/></person-group><article-title>Prospective multicenter validation of androgen receptor splice variant 7 and hormone therapy resistance in high-risk castration-resistant prostate cancer: The PROPHECY study</article-title><source>J Clin Oncol</source><volume>37</volume><fpage>1120</fpage><lpage>1129</lpage><year>2019</year><pub-id pub-id-type="doi">10.1200/JCO.18.01731</pub-id><pub-id pub-id-type="pmid">30865549</pub-id></element-citation></ref>
<ref id="b4-or-56-4-09186"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>WS</given-names></name><name><surname>Aggarwal</surname><given-names>R</given-names></name><name><surname>Zhang</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>SG</given-names></name><name><surname>Thomas</surname><given-names>GV</given-names></name><name><surname>Beer</surname><given-names>TM</given-names></name><name><surname>Quigley</surname><given-names>DA</given-names></name><name><surname>Foye</surname><given-names>A</given-names></name><name><surname>Playdle</surname><given-names>D</given-names></name><name><surname>Huang</surname><given-names>J</given-names></name><etal/></person-group><article-title>Genomic drivers of poor prognosis and enzalutamide resistance in metastatic castration-resistant prostate cancer</article-title><source>Eur Urol</source><volume>76</volume><fpage>562</fpage><lpage>571</lpage><year>2019</year><pub-id pub-id-type="doi">10.1016/j.eururo.2019.03.020</pub-id><pub-id pub-id-type="pmid">30928160</pub-id></element-citation></ref>
<ref id="b5-or-56-4-09186"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Davies</surname><given-names>A</given-names></name><name><surname>Conteduca</surname><given-names>V</given-names></name><name><surname>Zoubeidi</surname><given-names>A</given-names></name><name><surname>Beltran</surname><given-names>H</given-names></name></person-group><article-title>Biological evolution of castration-resistant prostate cancer</article-title><source>Eur Urol Focus</source><volume>5</volume><fpage>147</fpage><lpage>154</lpage><year>2019</year><pub-id pub-id-type="doi">10.1016/j.euf.2019.01.016</pub-id><pub-id pub-id-type="pmid">30772358</pub-id></element-citation></ref>
<ref id="b6-or-56-4-09186"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ahmad</surname><given-names>F</given-names></name><name><surname>Cherukuri</surname><given-names>MK</given-names></name><name><surname>Choyke</surname><given-names>PL</given-names></name></person-group><article-title>Metabolic reprogramming in prostate cancer</article-title><source>Br J Cancer</source><volume>125</volume><fpage>1185</fpage><lpage>1196</lpage><year>2021</year><pub-id pub-id-type="doi">10.1038/s41416-021-01435-5</pub-id><pub-id pub-id-type="pmid">34262149</pub-id></element-citation></ref>
<ref id="b7-or-56-4-09186"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lasorsa</surname><given-names>F</given-names></name><name><surname>di Meo</surname><given-names>NA</given-names></name><name><surname>Rutigliano</surname><given-names>M</given-names></name><name><surname>Ferro</surname><given-names>M</given-names></name><name><surname>Terracciano</surname><given-names>D</given-names></name><name><surname>Tataru</surname><given-names>OS</given-names></name><name><surname>Battaglia</surname><given-names>M</given-names></name><name><surname>Ditonno</surname><given-names>P</given-names></name><name><surname>Lucarelli</surname><given-names>G</given-names></name></person-group><article-title>Emerging hallmarks of metabolic reprogramming in prostate cancer</article-title><source>Int J Mol Sci</source><volume>24</volume><fpage>910</fpage><year>2023</year><pub-id pub-id-type="doi">10.3390/ijms24020910</pub-id><pub-id pub-id-type="pmid">36674430</pub-id></element-citation></ref>
<ref id="b8-or-56-4-09186"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meng</surname><given-names>J</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Guan</surname><given-names>S</given-names></name><name><surname>Fan</surname><given-names>S</given-names></name><name><surname>Zhou</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>M</given-names></name><name><surname>Liang</surname><given-names>C</given-names></name></person-group><article-title>The establishment of immune infiltration based novel recurrence predicting nomogram in prostate cancer</article-title><source>Cancer Med</source><volume>8</volume><fpage>5202</fpage><lpage>5213</lpage><year>2019</year><pub-id pub-id-type="doi">10.1002/cam4.2433</pub-id><pub-id pub-id-type="pmid">31355524</pub-id></element-citation></ref>
<ref id="b9-or-56-4-09186"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Alhallaq</surname><given-names>AS</given-names></name><name><surname>Sultan</surname><given-names>NS</given-names></name></person-group><article-title>Fueling prostate cancer: The central role of glutamine/glutamate metabolic reprogramming</article-title><source>Asian Pac J Cancer Prev</source><volume>26</volume><fpage>3157</fpage><lpage>3174</lpage><year>2025</year><pub-id pub-id-type="doi">10.31557/APJCP.2025.26.9.3157</pub-id><pub-id pub-id-type="pmid">40952270</pub-id></element-citation></ref>
<ref id="b10-or-56-4-09186"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bhowmick</surname><given-names>N</given-names></name><name><surname>Posadas</surname><given-names>E</given-names></name><name><surname>Ellis</surname><given-names>L</given-names></name><name><surname>Freedland</surname><given-names>SJ</given-names></name><name><surname>Vizio</surname><given-names>DD</given-names></name><name><surname>Freeman</surname><given-names>MR</given-names></name><name><surname>Theodorescu</surname><given-names>D</given-names></name><name><surname>Figlin</surname><given-names>R</given-names></name><name><surname>Gong</surname><given-names>J</given-names></name></person-group><article-title>Targeting glutamine metabolism in prostate cancer</article-title><source>Front Biosci (Elite Ed)</source><volume>15</volume><fpage>2</fpage><year>2023</year><pub-id pub-id-type="doi">10.31083/j.fbe1501002</pub-id><pub-id pub-id-type="pmid">36959101</pub-id></element-citation></ref>
<ref id="b11-or-56-4-09186"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>H&#x00F6;nscheid</surname><given-names>PV</given-names></name><name><surname>Baretton</surname><given-names>GB</given-names></name><name><surname>Puhr</surname><given-names>M</given-names></name><name><surname>Siciliano</surname><given-names>T</given-names></name><name><surname>Israel</surname><given-names>JS</given-names></name><name><surname>Stope</surname><given-names>MB</given-names></name><name><surname>Ebersbach</surname><given-names>C</given-names></name><name><surname>Beier</surname><given-names>AK</given-names></name><name><surname>Thomas</surname><given-names>C</given-names></name><name><surname>Erb</surname><given-names>HHH</given-names></name></person-group><article-title>Prostate cancer&#x0027;s silent partners: Fibroblasts and their influence on glutamine metabolism manipulation</article-title><source>Int J Mol Sci</source><volume>25</volume><fpage>9275</fpage><year>2024</year><pub-id pub-id-type="doi">10.3390/ijms25179275</pub-id><pub-id pub-id-type="pmid">39273225</pub-id></element-citation></ref>
<ref id="b12-or-56-4-09186"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ye</surname><given-names>Z</given-names></name><name><surname>Wu</surname><given-names>H</given-names></name><name><surname>Li</surname><given-names>Z</given-names></name><name><surname>Ye</surname><given-names>R</given-names></name><name><surname>Rao</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>B</given-names></name><name><surname>Gao</surname><given-names>B</given-names></name></person-group><article-title>Ammonium metabolism rewiring in the prostate cancer microenvironment: Mechanisms and clinical prospects</article-title><source>Front Oncol</source><volume>15</volume><fpage>1673513</fpage><year>2025</year><pub-id pub-id-type="doi">10.3389/fonc.2025.1673513</pub-id><pub-id pub-id-type="pmid">41179661</pub-id></element-citation></ref>
<ref id="b13-or-56-4-09186"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Elia</surname><given-names>I</given-names></name><name><surname>Schmieder</surname><given-names>R</given-names></name><name><surname>Christen</surname><given-names>S</given-names></name><name><surname>Fendt</surname><given-names>SM</given-names></name></person-group><article-title>Organ-specific cancer metabolism and its potential for therapy</article-title><source>Handb Exp Pharmacol</source><volume>233</volume><fpage>321</fpage><lpage>353</lpage><year>2016</year><pub-id pub-id-type="doi">10.1007/164_2015_10</pub-id><pub-id pub-id-type="pmid">25912014</pub-id></element-citation></ref>
<ref id="b14-or-56-4-09186"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Praharaj</surname><given-names>M</given-names></name><name><surname>Shen</surname><given-names>F</given-names></name><name><surname>Lee</surname><given-names>AJ</given-names></name><name><surname>Zhao</surname><given-names>L</given-names></name><name><surname>Nirschl</surname><given-names>TR</given-names></name><name><surname>Theodros</surname><given-names>D</given-names></name><name><surname>Singh</surname><given-names>AK</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Adusei</surname><given-names>KM</given-names></name><name><surname>Lombardo</surname><given-names>KA</given-names></name><etal/></person-group><article-title>Metabolic reprogramming of tumor-associated macrophages using glutamine antagonist JHU083 drives tumor immunity in myeloid-rich prostate and bladder cancers</article-title><source>Cancer Immunol Res</source><volume>12</volume><fpage>854</fpage><lpage>875</lpage><year>2024</year><pub-id pub-id-type="doi">10.1158/2326-6066.CIR-23-1105</pub-id><pub-id pub-id-type="pmid">38701369</pub-id></element-citation></ref>
<ref id="b15-or-56-4-09186"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Huang</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Luo</surname><given-names>Z</given-names></name><name><surname>Huang</surname><given-names>H</given-names></name><name><surname>West</surname><given-names>RE</given-names><suffix>III</suffix></name><name><surname>Nolin</surname><given-names>TD</given-names></name><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Li</surname><given-names>S</given-names></name></person-group><article-title>Improved antitumor activity against prostate cancer via synergistic targeting of Myc and GFAT-1</article-title><source>Theranostics</source><volume>13</volume><fpage>578</fpage><lpage>595</lpage><year>2023</year><pub-id pub-id-type="doi">10.7150/thno.76614</pub-id><pub-id pub-id-type="pmid">36632215</pub-id></element-citation></ref>
<ref id="b16-or-56-4-09186"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Panov</surname><given-names>A</given-names></name><name><surname>Orynbayeva</surname><given-names>Z</given-names></name></person-group><article-title>Bioenergetic and antiapoptotic properties of mitochondria from cultured human prostate cancer cell lines PC-3, DU145 and LNCaP</article-title><source>PLoS One</source><volume>8</volume><fpage>e72078</fpage><year>2013</year><pub-id pub-id-type="doi">10.1371/journal.pone.0072078</pub-id><pub-id pub-id-type="pmid">23951286</pub-id></element-citation></ref>
<ref id="b17-or-56-4-09186"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Q</given-names></name><name><surname>Hardie</surname><given-names>RA</given-names></name><name><surname>Hoy</surname><given-names>AJ</given-names></name><name><surname>van Geldermalsen</surname><given-names>M</given-names></name><name><surname>Gao</surname><given-names>D</given-names></name><name><surname>Fazli</surname><given-names>L</given-names></name><name><surname>Sadowski</surname><given-names>MC</given-names></name><name><surname>Balaban</surname><given-names>S</given-names></name><name><surname>Schreuder</surname><given-names>M</given-names></name><name><surname>Nagarajah</surname><given-names>R</given-names></name><etal/></person-group><article-title>Targeting ASCT2-mediated glutamine uptake blocks prostate cancer growth and tumour development</article-title><source>J Pathol</source><volume>236</volume><fpage>278</fpage><lpage>289</lpage><year>2015</year><pub-id pub-id-type="doi">10.1002/path.4518</pub-id><pub-id pub-id-type="pmid">25693838</pub-id></element-citation></ref>
<ref id="b18-or-56-4-09186"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smith</surname><given-names>B</given-names></name><name><surname>Kim</surname><given-names>S</given-names></name><name><surname>Tighiouart</surname><given-names>M</given-names></name><name><surname>Posadas</surname><given-names>E</given-names></name><name><surname>Chung</surname><given-names>L</given-names></name><name><surname>Figlin</surname><given-names>R</given-names></name><name><surname>Bhowmick</surname><given-names>N</given-names></name><name><surname>Gong</surname><given-names>J</given-names></name></person-group><article-title>Plasma glutamine as a prognostic biomarker in localized prostate cancer: Comparison of conventional variables in risk stratification</article-title><source>Oncology (Williston Park)</source><volume>35</volume><fpage>528</fpage><lpage>535</lpage><year>2021</year><pub-id pub-id-type="pmid">34524771</pub-id></element-citation></ref>
<ref id="b19-or-56-4-09186"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname><given-names>B</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Chen</surname><given-names>L</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Liang</surname><given-names>CZ</given-names></name><name><surname>Huang</surname><given-names>J</given-names></name><name><surname>Xu</surname><given-names>LF</given-names></name></person-group><article-title>The role of glutamine metabolism in castration-resistant prostate cancer</article-title><source>Asian J Androl</source><volume>25</volume><fpage>192</fpage><lpage>197</lpage><year>2023</year><pub-id pub-id-type="pmid">36629158</pub-id></element-citation></ref>
<ref id="b20-or-56-4-09186"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>White</surname><given-names>MA</given-names></name><name><surname>Lin</surname><given-names>C</given-names></name><name><surname>Rajapakshe</surname><given-names>K</given-names></name><name><surname>Dong</surname><given-names>J</given-names></name><name><surname>Shi</surname><given-names>Y</given-names></name><name><surname>Tsouko</surname><given-names>E</given-names></name><name><surname>Mukhopadhyay</surname><given-names>R</given-names></name><name><surname>Jasso</surname><given-names>D</given-names></name><name><surname>Dawood</surname><given-names>W</given-names></name><name><surname>Coarfa</surname><given-names>C</given-names></name><name><surname>Frigo</surname><given-names>DE</given-names></name></person-group><article-title>Glutamine transporters are targets of multiple oncogenic signaling pathways in prostate cancer</article-title><source>Mol Cancer Res</source><volume>15</volume><fpage>1017</fpage><lpage>1028</lpage><year>2017</year><pub-id pub-id-type="doi">10.1158/1541-7786.MCR-16-0480</pub-id><pub-id pub-id-type="pmid">28507054</pub-id></element-citation></ref>
<ref id="b21-or-56-4-09186"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ono</surname><given-names>M</given-names></name><name><surname>Oka</surname><given-names>S</given-names></name><name><surname>Okudaira</surname><given-names>H</given-names></name><name><surname>Nakanishi</surname><given-names>T</given-names></name><name><surname>Mizokami</surname><given-names>A</given-names></name><name><surname>Kobayashi</surname><given-names>M</given-names></name><name><surname>Schuster</surname><given-names>DM</given-names></name><name><surname>Goodman</surname><given-names>MM</given-names></name><name><surname>Shirakami</surname><given-names>Y</given-names></name><name><surname>Kawai</surname><given-names>K</given-names></name></person-group><article-title>[(14)C]Fluciclovine (alias anti-[(14)C]FACBC) uptake and ASCT2 expression in castration-resistant prostate cancer cells</article-title><source>Nucl Med Biol</source><volume>42</volume><fpage>887</fpage><lpage>892</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.nucmedbio.2015.07.005</pub-id><pub-id pub-id-type="pmid">26278491</pub-id></element-citation></ref>
<ref id="b22-or-56-4-09186"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pan</surname><given-names>T</given-names></name><name><surname>Gao</surname><given-names>L</given-names></name><name><surname>Wu</surname><given-names>G</given-names></name><name><surname>Shen</surname><given-names>G</given-names></name><name><surname>Xie</surname><given-names>S</given-names></name><name><surname>Wen</surname><given-names>H</given-names></name><name><surname>Yang</surname><given-names>J</given-names></name><name><surname>Zhou</surname><given-names>Y</given-names></name><name><surname>Tu</surname><given-names>Z</given-names></name><name><surname>Qian</surname><given-names>W</given-names></name></person-group><article-title>Elevated expression of glutaminase confers glucose utilization via glutaminolysis in prostate cancer</article-title><source>Biochem Biophys Res Commun</source><volume>456</volume><fpage>452</fpage><lpage>458</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.bbrc.2014.11.105</pub-id><pub-id pub-id-type="pmid">25482439</pub-id></element-citation></ref>
<ref id="b23-or-56-4-09186"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Mao</surname><given-names>S</given-names></name><name><surname>Guo</surname><given-names>Y</given-names></name><name><surname>Wu</surname><given-names>Y</given-names></name><name><surname>Yao</surname><given-names>X</given-names></name><name><surname>Huang</surname><given-names>Y</given-names></name></person-group><article-title>Inhibition of GLS suppresses proliferation and promotes apoptosis in prostate cancer</article-title><source>Biosci Rep</source><volume>39</volume><fpage>BSR20181826</fpage><year>2019</year><pub-id pub-id-type="doi">10.1042/BSR20181826</pub-id><pub-id pub-id-type="pmid">31196962</pub-id></element-citation></ref>
<ref id="b24-or-56-4-09186"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Blatt</surname><given-names>EB</given-names></name><name><surname>Parra</surname><given-names>K</given-names></name><name><surname>Neeb</surname><given-names>A</given-names></name><name><surname>Buroni</surname><given-names>L</given-names></name><name><surname>Bogdan</surname><given-names>D</given-names></name><name><surname>Yuan</surname><given-names>W</given-names></name><name><surname>Gao</surname><given-names>Y</given-names></name><name><surname>Gilbreath</surname><given-names>C</given-names></name><name><surname>Paschalis</surname><given-names>A</given-names></name><name><surname>Carreira</surname><given-names>S</given-names></name><etal/></person-group><article-title>Critical role of antioxidant programs in enzalutamide-resistant prostate cancer</article-title><source>Oncogene</source><volume>42</volume><fpage>2347</fpage><lpage>2359</lpage><year>2023</year><pub-id pub-id-type="doi">10.1038/s41388-023-02756-w</pub-id><pub-id pub-id-type="pmid">37355762</pub-id></element-citation></ref>
<ref id="b25-or-56-4-09186"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>L</given-names></name><name><surname>Yin</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Chang</surname><given-names>Y</given-names></name><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Liu</surname><given-names>J</given-names></name><name><surname>Beasley</surname><given-names>J</given-names></name><name><surname>McCaw</surname><given-names>P</given-names></name><name><surname>Zhang</surname><given-names>H</given-names></name><etal/></person-group><article-title>A glutaminase isoform switch drives therapeutic resistance and disease progression of prostate cancer</article-title><source>Proc Natl Acad Sci USA</source><volume>118</volume><fpage>e2012748118</fpage><year>2021</year><pub-id pub-id-type="doi">10.1073/pnas.2012748118</pub-id><pub-id pub-id-type="pmid">33753479</pub-id></element-citation></ref>
<ref id="b26-or-56-4-09186"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dorai</surname><given-names>T</given-names></name><name><surname>Dorai</surname><given-names>B</given-names></name><name><surname>Pinto</surname><given-names>JT</given-names></name><name><surname>Grasso</surname><given-names>M</given-names></name><name><surname>Cooper</surname><given-names>AJL</given-names></name></person-group><article-title>High levels of glutaminase II pathway enzymes in normal and cancerous prostate suggest a role in &#x2018;glutamine addiction&#x2019;</article-title><source>Biomolecules</source><volume>10</volume><fpage>2</fpage><year>2019</year><pub-id pub-id-type="doi">10.3390/biom10010002</pub-id><pub-id pub-id-type="pmid">31861280</pub-id></element-citation></ref>
<ref id="b27-or-56-4-09186"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shafi</surname><given-names>AA</given-names></name><name><surname>Putluri</surname><given-names>V</given-names></name><name><surname>Arnold</surname><given-names>JM</given-names></name><name><surname>Tsouko</surname><given-names>E</given-names></name><name><surname>Maity</surname><given-names>S</given-names></name><name><surname>Roberts</surname><given-names>JM</given-names></name><name><surname>Coarfa</surname><given-names>C</given-names></name><name><surname>Frigo</surname><given-names>DE</given-names></name><name><surname>Putluri</surname><given-names>N</given-names></name><name><surname>Sreekumar</surname><given-names>A</given-names></name><name><surname>Weigel</surname><given-names>NL</given-names></name></person-group><article-title>Differential regulation of metabolic pathways by androgen receptor (AR) and its constitutively active splice variant, AR-V7, in prostate cancer cells</article-title><source>Oncotarget</source><volume>6</volume><fpage>31997</fpage><lpage>32012</lpage><year>2015</year><pub-id pub-id-type="doi">10.18632/oncotarget.5585</pub-id><pub-id pub-id-type="pmid">26378018</pub-id></element-citation></ref>
<ref id="b28-or-56-4-09186"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cardoso</surname><given-names>HJ</given-names></name><name><surname>Figueira</surname><given-names>MI</given-names></name><name><surname>Vaz</surname><given-names>CV</given-names></name><name><surname>Carvalho</surname><given-names>TMA</given-names></name><name><surname>Br&#x00E1;s</surname><given-names>LA</given-names></name><name><surname>Madureira</surname><given-names>PA</given-names></name><name><surname>Oliveira</surname><given-names>PJ</given-names></name><name><surname>Sard&#x00E3;o</surname><given-names>VA</given-names></name><name><surname>Socorro</surname><given-names>S</given-names></name></person-group><article-title>Glutaminolysis is a metabolic route essential for survival and growth of prostate cancer cells and a target of 5&#x03B1;-dihydrotestosterone regulation</article-title><source>Cell Oncol (Dordr)</source><volume>44</volume><fpage>385</fpage><lpage>403</lpage><year>2021</year><pub-id pub-id-type="doi">10.1007/s13402-020-00575-9</pub-id><pub-id pub-id-type="pmid">33464483</pub-id></element-citation></ref>
<ref id="b29-or-56-4-09186"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dasgupta</surname><given-names>S</given-names></name><name><surname>Putluri</surname><given-names>N</given-names></name><name><surname>Long</surname><given-names>W</given-names></name><name><surname>Zhang</surname><given-names>B</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Kaushik</surname><given-names>AK</given-names></name><name><surname>Arnold</surname><given-names>JM</given-names></name><name><surname>Bhowmik</surname><given-names>SK</given-names></name><name><surname>Stashi</surname><given-names>E</given-names></name><name><surname>Brennan</surname><given-names>CA</given-names></name><etal/></person-group><article-title>Coactivator SRC-2-dependent metabolic reprogramming mediates prostate cancer survival and metastasis</article-title><source>J Clin Invest</source><volume>125</volume><fpage>1174</fpage><lpage>1188</lpage><year>2015</year><pub-id pub-id-type="doi">10.1172/JCI76029</pub-id><pub-id pub-id-type="pmid">25664849</pub-id></element-citation></ref>
<ref id="b30-or-56-4-09186"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hung</surname><given-names>CL</given-names></name><name><surname>Wang</surname><given-names>LY</given-names></name><name><surname>Yu</surname><given-names>YL</given-names></name><name><surname>Chen</surname><given-names>HW</given-names></name><name><surname>Srivastava</surname><given-names>S</given-names></name><name><surname>Petrovics</surname><given-names>G</given-names></name><name><surname>Kung</surname><given-names>HJ</given-names></name></person-group><article-title>A long noncoding RNA connects c-Myc to tumor metabolism</article-title><source>Proc Natl Acad Sci USA</source><volume>111</volume><fpage>18697</fpage><lpage>18702</lpage><year>2014</year><pub-id pub-id-type="doi">10.1073/pnas.1415669112</pub-id><pub-id pub-id-type="pmid">25512540</pub-id></element-citation></ref>
<ref id="b31-or-56-4-09186"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname><given-names>X</given-names></name><name><surname>Sun</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Hu</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>K</given-names></name><name><surname>Gao</surname><given-names>L</given-names></name><name><surname>Shen</surname><given-names>L</given-names></name></person-group><article-title>c-Myc-driven glycolysis via TXNIP suppression is dependent on glutaminase-MondoA axis in prostate cancer</article-title><source>Biochem Biophys Res Commun</source><volume>504</volume><fpage>415</fpage><lpage>421</lpage><year>2018</year><pub-id pub-id-type="doi">10.1016/j.bbrc.2018.08.069</pub-id><pub-id pub-id-type="pmid">30103944</pub-id></element-citation></ref>
<ref id="b32-or-56-4-09186"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Yang</surname><given-names>X</given-names></name><name><surname>Sun</surname><given-names>X</given-names></name><name><surname>Xu</surname><given-names>X</given-names></name><name><surname>Li</surname><given-names>X</given-names></name><name><surname>Guo</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>X</given-names></name><name><surname>Yao</surname><given-names>L</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Shen</surname><given-names>L</given-names></name></person-group><article-title>Effect of PTEN loss on metabolic reprogramming in prostate cancer cells</article-title><source>Oncol Lett</source><volume>17</volume><fpage>2856</fpage><lpage>2866</lpage><year>2019</year><pub-id pub-id-type="pmid">30854061</pub-id></element-citation></ref>
<ref id="b33-or-56-4-09186"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Al-Saffar</surname><given-names>NMS</given-names></name><name><surname>Troy</surname><given-names>H</given-names></name><name><surname>Wong Te Fong</surname><given-names>AC</given-names></name><name><surname>Paravati</surname><given-names>R</given-names></name><name><surname>Jackson</surname><given-names>LE</given-names></name><name><surname>Gowan</surname><given-names>S</given-names></name><name><surname>Boult</surname><given-names>JKR</given-names></name><name><surname>Robinson</surname><given-names>SP</given-names></name><name><surname>Eccles</surname><given-names>SA</given-names></name><name><surname>Yap</surname><given-names>TA</given-names></name><etal/></person-group><article-title>Metabolic biomarkers of response to the AKT inhibitor MK-2206 in pre-clinical models of human colorectal and prostate carcinoma</article-title><source>Br J Cancer</source><volume>119</volume><fpage>1118</fpage><lpage>1128</lpage><year>2018</year><pub-id pub-id-type="doi">10.1038/s41416-018-0242-3</pub-id><pub-id pub-id-type="pmid">30377337</pub-id></element-citation></ref>
<ref id="b34-or-56-4-09186"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>La Manna</surname><given-names>F</given-names></name><name><surname>De Menna</surname><given-names>M</given-names></name><name><surname>Patel</surname><given-names>N</given-names></name><name><surname>Karkampouna</surname><given-names>S</given-names></name><name><surname>De Filippo</surname><given-names>MR</given-names></name><name><surname>Klima</surname><given-names>I</given-names></name><name><surname>Kloen</surname><given-names>P</given-names></name><name><surname>Beimers</surname><given-names>L</given-names></name><name><surname>Thalmann</surname><given-names>GN</given-names></name><name><surname>Pelger</surname><given-names>RCM</given-names></name><etal/></person-group><article-title>Dual-mTOR inhibitor rapalink-1 reduces prostate cancer patient-derived xenograft growth and alters tumor heterogeneity</article-title><source>Front Oncol</source><volume>10</volume><fpage>1012</fpage><year>2020</year><pub-id pub-id-type="doi">10.3389/fonc.2020.01012</pub-id><pub-id pub-id-type="pmid">32656088</pub-id></element-citation></ref>
<ref id="b35-or-56-4-09186"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Trotta</surname><given-names>AP</given-names></name><name><surname>Need</surname><given-names>EF</given-names></name><name><surname>Selth</surname><given-names>LA</given-names></name><name><surname>Chopra</surname><given-names>S</given-names></name><name><surname>Pinnock</surname><given-names>CB</given-names></name><name><surname>Leach</surname><given-names>DA</given-names></name><name><surname>Coetzee</surname><given-names>GA</given-names></name><name><surname>Butler</surname><given-names>LM</given-names></name><name><surname>Tilley</surname><given-names>WD</given-names></name><name><surname>Buchanan</surname><given-names>G</given-names></name></person-group><article-title>Knockdown of the cochaperone SGTA results in the suppression of androgen and PI3K/Akt signaling and inhibition of prostate cancer cell proliferation</article-title><source>Int J Cancer</source><volume>133</volume><fpage>2812</fpage><lpage>2823</lpage><year>2013</year><pub-id pub-id-type="doi">10.1002/ijc.28310</pub-id><pub-id pub-id-type="pmid">23740762</pub-id></element-citation></ref>
<ref id="b36-or-56-4-09186"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schcolnik-Cabrera</surname><given-names>A</given-names></name><name><surname>Ju&#x00E1;rez-L&#x00F3;pez</surname><given-names>D</given-names></name></person-group><article-title>Dual contribution of the mTOR pathway and of the metabolism of amino acids in prostate cancer</article-title><source>Cell Oncol (Dordr)</source><volume>45</volume><fpage>831</fpage><lpage>859</lpage><year>2022</year><pub-id pub-id-type="doi">10.1007/s13402-022-00706-4</pub-id><pub-id pub-id-type="pmid">36036882</pub-id></element-citation></ref>
<ref id="b37-or-56-4-09186"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fendt</surname><given-names>SM</given-names></name><name><surname>Bell</surname><given-names>EL</given-names></name><name><surname>Keibler</surname><given-names>MA</given-names></name><name><surname>Davidson</surname><given-names>SM</given-names></name><name><surname>Wirth</surname><given-names>GJ</given-names></name><name><surname>Fiske</surname><given-names>B</given-names></name><name><surname>Mayers</surname><given-names>JR</given-names></name><name><surname>Schwab</surname><given-names>M</given-names></name><name><surname>Bellinger</surname><given-names>G</given-names></name><name><surname>Csibi</surname><given-names>A</given-names></name><etal/></person-group><article-title>Metformin decreases glucose oxidation and increases the dependency of prostate cancer cells on reductive glutamine metabolism</article-title><source>Cancer Res</source><volume>73</volume><fpage>4429</fpage><lpage>4438</lpage><year>2013</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-13-0080</pub-id><pub-id pub-id-type="pmid">23687346</pub-id></element-citation></ref>
<ref id="b38-or-56-4-09186"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>X</given-names></name><name><surname>Li</surname><given-names>X</given-names></name><name><surname>Zhong</surname><given-names>Y</given-names></name><name><surname>Ji</surname><given-names>Y</given-names></name><name><surname>Yu</surname><given-names>D</given-names></name><name><surname>Zhang</surname><given-names>M</given-names></name><name><surname>Wen</surname><given-names>JG</given-names></name><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Goscinski</surname><given-names>MA</given-names></name><etal/></person-group><article-title>PDHA1 gene knockout in prostate cancer cells results in metabolic reprogramming towards greater glutamine dependence</article-title><source>Oncotarget</source><volume>7</volume><fpage>53837</fpage><lpage>53852</lpage><year>2016</year><pub-id pub-id-type="doi">10.18632/oncotarget.10782</pub-id><pub-id pub-id-type="pmid">27462778</pub-id></element-citation></ref>
<ref id="b39-or-56-4-09186"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Matschke</surname><given-names>J</given-names></name><name><surname>Riffkin</surname><given-names>H</given-names></name><name><surname>Klein</surname><given-names>D</given-names></name><name><surname>Handrick</surname><given-names>R</given-names></name><name><surname>L&#x00FC;demann</surname><given-names>L</given-names></name><name><surname>Metzen</surname><given-names>E</given-names></name><name><surname>Shlomi</surname><given-names>T</given-names></name><name><surname>Stuschke</surname><given-names>M</given-names></name><name><surname>Jendrossek</surname><given-names>V</given-names></name></person-group><article-title>targeted inhibition of glutamine-dependent glutathione metabolism overcomes death resistance induced by chronic cycling hypoxia</article-title><source>Antioxid Redox Signal</source><volume>25</volume><fpage>89</fpage><lpage>107</lpage><year>2016</year><pub-id pub-id-type="doi">10.1089/ars.2015.6589</pub-id><pub-id pub-id-type="pmid">27021152</pub-id></element-citation></ref>
<ref id="b40-or-56-4-09186"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Moon</surname><given-names>D</given-names></name><name><surname>Hauck</surname><given-names>JS</given-names></name><name><surname>Jiang</surname><given-names>X</given-names></name><name><surname>Quang</surname><given-names>H</given-names></name><name><surname>Xu</surname><given-names>L</given-names></name><name><surname>Zhang</surname><given-names>F</given-names></name><name><surname>Gao</surname><given-names>X</given-names></name><name><surname>Wild</surname><given-names>R</given-names></name><name><surname>Everitt</surname><given-names>JI</given-names></name><name><surname>Macias</surname><given-names>E</given-names></name><etal/></person-group><article-title>Targeting glutamine dependence with DRP-104 inhibits proliferation and tumor growth of castration-resistant prostate cancer</article-title><source>Prostate</source><volume>84</volume><fpage>349</fpage><lpage>357</lpage><year>2024</year><pub-id pub-id-type="doi">10.1002/pros.24654</pub-id><pub-id pub-id-type="pmid">38084059</pub-id></element-citation></ref>
<ref id="b41-or-56-4-09186"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Q</given-names></name><name><surname>Guan</surname><given-names>YF</given-names></name><name><surname>Hancock</surname><given-names>SE</given-names></name><name><surname>Wahi</surname><given-names>K</given-names></name><name><surname>van Geldermalsen</surname><given-names>M</given-names></name><name><surname>Zhang</surname><given-names>BK</given-names></name><name><surname>Pang</surname><given-names>A</given-names></name><name><surname>Nagarajah</surname><given-names>R</given-names></name><name><surname>Mak</surname><given-names>B</given-names></name><name><surname>Freidman</surname><given-names>N</given-names></name><etal/></person-group><article-title>Inhibition of guanosine monophosphate synthetase (GMPS) blocks glutamine metabolism and prostate cancer growth</article-title><source>J Pathol</source><volume>254</volume><fpage>135</fpage><lpage>146</lpage><year>2021</year><pub-id pub-id-type="doi">10.1002/path.5665</pub-id><pub-id pub-id-type="pmid">33768538</pub-id></element-citation></ref>
<ref id="b42-or-56-4-09186"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Erb</surname><given-names>HHH</given-names></name><name><surname>Polishchuk</surname><given-names>N</given-names></name><name><surname>Stasyk</surname><given-names>O</given-names></name><name><surname>Kahya</surname><given-names>U</given-names></name><name><surname>Weigel</surname><given-names>MM</given-names></name><name><surname>Dubrovska</surname><given-names>A</given-names></name></person-group><article-title>Glutamine metabolism and prostate cancer</article-title><source>Cancers (Basel)</source><volume>16</volume><fpage>2871</fpage><year>2024</year><pub-id pub-id-type="doi">10.3390/cancers16162871</pub-id><pub-id pub-id-type="pmid">39199642</pub-id></element-citation></ref>
<ref id="b43-or-56-4-09186"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>B</given-names></name><name><surname>Butler</surname><given-names>W</given-names></name><name><surname>Xu</surname><given-names>H</given-names></name><name><surname>Song</surname><given-names>N</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Spencer Hauck</surname><given-names>J</given-names></name><name><surname>Gao</surname><given-names>X</given-names></name><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Groth</surname><given-names>J</given-names></name><etal/></person-group><article-title>Targeting glutamine metabolism network for the treatment of therapy-resistant prostate cancer</article-title><source>Oncogene</source><volume>41</volume><fpage>1140</fpage><lpage>1154</lpage><year>2022</year><pub-id pub-id-type="doi">10.1038/s41388-021-02155-z</pub-id><pub-id pub-id-type="pmid">35046532</pub-id></element-citation></ref>
<ref id="b44-or-56-4-09186"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bruzzone</surname><given-names>C</given-names></name><name><surname>Loizaga-Iriarte</surname><given-names>A</given-names></name><name><surname>S&#x00E1;nchez-Mosquera</surname><given-names>P</given-names></name><name><surname>Gil-Redondo</surname><given-names>R</given-names></name><name><surname>Astobiza</surname><given-names>I</given-names></name><name><surname>Diercks</surname><given-names>T</given-names></name><name><surname>Cortazar</surname><given-names>AR</given-names></name><name><surname>Ugalde-Olano</surname><given-names>A</given-names></name><name><surname>Sch&#x00E4;fer</surname><given-names>H</given-names></name><name><surname>Blanco</surname><given-names>FJ</given-names></name><etal/></person-group><article-title><sup>1</sup>H NMR-based urine metabolomics reveals signs of enhanced carbon and nitrogen recycling in prostate cancer</article-title><source>J Proteome Res</source><volume>19</volume><fpage>2419</fpage><lpage>2428</lpage><year>2020</year><pub-id pub-id-type="doi">10.1021/acs.jproteome.0c00091</pub-id><pub-id pub-id-type="pmid">32380831</pub-id></element-citation></ref>
<ref id="b45-or-56-4-09186"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luo</surname><given-names>Y</given-names></name><name><surname>Yu</surname><given-names>J</given-names></name><name><surname>Lin</surname><given-names>Z</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Zhao</surname><given-names>J</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Qin</surname><given-names>W</given-names></name><name><surname>Xu</surname><given-names>G</given-names></name></person-group><article-title>Metabolic characterization of sphere-derived prostate cancer stem cells reveals aberrant urea cycle in stemness maintenance</article-title><source>Int J Cancer</source><volume>155</volume><fpage>742</fpage><lpage>755</lpage><year>2024</year><pub-id pub-id-type="doi">10.1002/ijc.34967</pub-id><pub-id pub-id-type="pmid">38647131</pub-id></element-citation></ref>
<ref id="b46-or-56-4-09186"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Labroy</surname><given-names>M</given-names></name><name><surname>Par&#x00E9;</surname><given-names>MO</given-names></name><name><surname>Berthiaume</surname><given-names>L</given-names></name><name><surname>Thomas</surname><given-names>M</given-names></name><name><surname>Jobin</surname><given-names>C</given-names></name><name><surname>Veilleux</surname><given-names>A</given-names></name><name><surname>Pelletier</surname><given-names>M</given-names></name><name><surname>Pouliot</surname><given-names>F</given-names></name><name><surname>Masson</surname><given-names>JY</given-names></name><name><surname>Audet-Walsh</surname><given-names>&#x00C9;</given-names></name></person-group><article-title>Targeting DHODH reveals a metabolic vulnerability in AR-positive and AR-negative prostate cancer cells via pyrimidine synthesis and metabolic crosstalk with the TCA and urea cycles</article-title><source>Mol Metab</source><volume>104</volume><fpage>102316</fpage><year>2026</year><pub-id pub-id-type="doi">10.1016/j.molmet.2025.102316</pub-id><pub-id pub-id-type="pmid">41506347</pub-id></element-citation></ref>
<ref id="b47-or-56-4-09186"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chatterjee</surname><given-names>S</given-names></name><name><surname>Schmidt</surname><given-names>S</given-names></name><name><surname>Pouli</surname><given-names>S</given-names></name><name><surname>Honisch</surname><given-names>S</given-names></name><name><surname>Alkahtani</surname><given-names>S</given-names></name><name><surname>Stournaras</surname><given-names>C</given-names></name><name><surname>Lang</surname><given-names>F</given-names></name></person-group><article-title>Membrane androgen receptor sensitive Na&#x002B;/H&#x002B; exchanger activity in prostate cancer cells</article-title><source>FEBS Lett</source><volume>588</volume><fpage>1571</fpage><lpage>1579</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.febslet.2014.02.040</pub-id><pub-id pub-id-type="pmid">24607544</pub-id></element-citation></ref>
<ref id="b48-or-56-4-09186"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>C</given-names></name><name><surname>Ma</surname><given-names>X</given-names></name><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Zeng</surname><given-names>X</given-names></name><name><surname>Hu</surname><given-names>Z</given-names></name><name><surname>Ye</surname><given-names>Z</given-names></name><name><surname>Shen</surname><given-names>G</given-names></name></person-group><article-title>Curcumin induces apoptosis and protective autophagy in castration-resistant prostate cancer cells through iron chelation</article-title><source>Drug Des Devel Ther</source><volume>11</volume><fpage>431</fpage><lpage>439</lpage><year>2017</year><pub-id pub-id-type="doi">10.2147/DDDT.S126964</pub-id><pub-id pub-id-type="pmid">28243065</pub-id></element-citation></ref>
<ref id="b49-or-56-4-09186"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>S</given-names></name><name><surname>Wang</surname><given-names>Q</given-names></name><name><surname>Eltit</surname><given-names>F</given-names></name><name><surname>Guo</surname><given-names>Y</given-names></name><name><surname>Cox</surname><given-names>M</given-names></name><name><surname>Wang</surname><given-names>R</given-names></name></person-group><article-title>An ammonia-induced calcium phosphate nanostructure: A potential assay for studying osteoporosis and bone metastasis</article-title><source>ACS Appl Mater Interfaces</source><volume>13</volume><fpage>17207</fpage><lpage>17219</lpage><year>2021</year><pub-id pub-id-type="doi">10.1021/acsami.1c00495</pub-id><pub-id pub-id-type="pmid">33845570</pub-id></element-citation></ref>
<ref id="b50-or-56-4-09186"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>C</given-names></name><name><surname>Niu</surname><given-names>L</given-names></name><name><surname>Li</surname><given-names>L</given-names></name><name><surname>Li</surname><given-names>T</given-names></name><name><surname>Duan</surname><given-names>L</given-names></name><name><surname>He</surname><given-names>Z</given-names></name><name><surname>Zhao</surname><given-names>Y</given-names></name><name><surname>Zou</surname><given-names>L</given-names></name><name><surname>Wu</surname><given-names>X</given-names></name><name><surname>Luo</surname><given-names>C</given-names></name></person-group><article-title>Identification of the metabolic signatures of prostate cancer by mass spectrometry-based plasma and urine metabolomics analysis</article-title><source>Prostate</source><volume>81</volume><fpage>1320</fpage><lpage>1328</lpage><year>2021</year><pub-id pub-id-type="doi">10.1002/pros.24229</pub-id><pub-id pub-id-type="pmid">34590739</pub-id></element-citation></ref>
<ref id="b51-or-56-4-09186"><label>51</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bell</surname><given-names>HN</given-names></name><name><surname>Huber</surname><given-names>AK</given-names></name><name><surname>Singhal</surname><given-names>R</given-names></name><name><surname>Korimerla</surname><given-names>N</given-names></name><name><surname>Rebernick</surname><given-names>RJ</given-names></name><name><surname>Kumar</surname><given-names>R</given-names></name><name><surname>El-Derany</surname><given-names>MO</given-names></name><name><surname>Sajjakulnukit</surname><given-names>P</given-names></name><name><surname>Das</surname><given-names>NK</given-names></name><name><surname>Kerk</surname><given-names>SA</given-names></name><etal/></person-group><article-title>Microenvironmental ammonia enhances T cell exhaustion in colorectal cancer</article-title><source>Cell Metab</source><volume>35</volume><fpage>134</fpage><lpage>149.e6</lpage><year>2023</year><pub-id pub-id-type="doi">10.1016/j.cmet.2022.11.013</pub-id><pub-id pub-id-type="pmid">36528023</pub-id></element-citation></ref>
<ref id="b52-or-56-4-09186"><label>52</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>H</given-names></name><name><surname>Liu</surname><given-names>J</given-names></name><name><surname>Yuan</surname><given-names>W</given-names></name><name><surname>Zhang</surname><given-names>Q</given-names></name><name><surname>Luo</surname><given-names>X</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Peng</surname><given-names>Y</given-names></name><name><surname>Feng</surname><given-names>J</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><etal/></person-group><article-title>Ammonia-induced lysosomal and mitochondrial damage causes cell death of effector CD8<sup>&#x002B;</sup> T cells</article-title><source>Nat Cell Biol</source><volume>26</volume><fpage>1892</fpage><lpage>1902</lpage><year>2024</year><pub-id pub-id-type="doi">10.1038/s41556-024-01503-x</pub-id><pub-id pub-id-type="pmid">39261719</pub-id></element-citation></ref>
<ref id="b53-or-56-4-09186"><label>53</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bharti</surname><given-names>SK</given-names></name><name><surname>Kakkad</surname><given-names>S</given-names></name><name><surname>Danhier</surname><given-names>P</given-names></name><name><surname>Wildes</surname><given-names>F</given-names></name><name><surname>Penet</surname><given-names>MF</given-names></name><name><surname>Krishnamachary</surname><given-names>B</given-names></name><name><surname>Bhujwalla</surname><given-names>ZM</given-names></name></person-group><article-title>Hypoxia patterns in primary and metastatic prostate cancer environments</article-title><source>Neoplasia</source><volume>21</volume><fpage>239</fpage><lpage>246</lpage><year>2019</year><pub-id pub-id-type="doi">10.1016/j.neo.2018.12.004</pub-id><pub-id pub-id-type="pmid">30639975</pub-id></element-citation></ref>
<ref id="b54-or-56-4-09186"><label>54</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Arocena</surname><given-names>M</given-names></name><name><surname>Landeira</surname><given-names>M</given-names></name><name><surname>Di Paolo</surname><given-names>A</given-names></name><name><surname>Silva</surname><given-names>A</given-names></name><name><surname>Sotelo-Silveira</surname><given-names>J</given-names></name><name><surname>Fern&#x00E1;ndez</surname><given-names>A</given-names></name><name><surname>Alonso</surname><given-names>J</given-names></name></person-group><article-title>Using a variant of coverslip hypoxia to visualize tumor cell alterations at increasing distances from an oxygen source</article-title><source>J Cell Physiol</source><volume>234</volume><fpage>16671</fpage><lpage>16678</lpage><year>2019</year><pub-id pub-id-type="doi">10.1002/jcp.28507</pub-id><pub-id pub-id-type="pmid">30912143</pub-id></element-citation></ref>
<ref id="b55-or-56-4-09186"><label>55</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bery</surname><given-names>F</given-names></name><name><surname>Figiel</surname><given-names>S</given-names></name><name><surname>Kouba</surname><given-names>S</given-names></name><name><surname>Fontaine</surname><given-names>D</given-names></name><name><surname>Gu&#x00E9;guinou</surname><given-names>M</given-names></name><name><surname>Potier-Cartereau</surname><given-names>M</given-names></name><name><surname>Vandier</surname><given-names>C</given-names></name><name><surname>Guibon</surname><given-names>R</given-names></name><name><surname>Bruy&#x00E8;re</surname><given-names>F</given-names></name><name><surname>Fromont</surname><given-names>G</given-names></name><name><surname>Mah&#x00E9;o</surname><given-names>K</given-names></name></person-group><article-title>Hypoxia promotes prostate cancer aggressiveness by upregulating EMT-activator Zeb1 and SK3 channel expression</article-title><source>Int J Mol Sci</source><volume>21</volume><fpage>4786</fpage><year>2020</year><pub-id pub-id-type="doi">10.3390/ijms21134786</pub-id><pub-id pub-id-type="pmid">32640738</pub-id></element-citation></ref>
<ref id="b56-or-56-4-09186"><label>56</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bok</surname><given-names>R</given-names></name><name><surname>Lee</surname><given-names>J</given-names></name><name><surname>Sriram</surname><given-names>R</given-names></name><name><surname>Keshari</surname><given-names>K</given-names></name><name><surname>Sukumar</surname><given-names>S</given-names></name><name><surname>Daneshmandi</surname><given-names>S</given-names></name><name><surname>Korenchan</surname><given-names>DE</given-names></name><name><surname>Flavell</surname><given-names>RR</given-names></name><name><surname>Vigneron</surname><given-names>DB</given-names></name><name><surname>Kurhanewicz</surname><given-names>J</given-names></name><name><surname>Seth</surname><given-names>P</given-names></name></person-group><article-title>The role of lactate metabolism in prostate cancer progression and metastases revealed by dual-agent hyperpolarized <sup>13</sup>C MRSI</article-title><source>Cancers (Basel)</source><volume>11</volume><fpage>257</fpage><year>2019</year><pub-id pub-id-type="doi">10.3390/cancers11020257</pub-id><pub-id pub-id-type="pmid">30813322</pub-id></element-citation></ref>
<ref id="b57-or-56-4-09186"><label>57</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Comito</surname><given-names>G</given-names></name><name><surname>Iscaro</surname><given-names>A</given-names></name><name><surname>Bacci</surname><given-names>M</given-names></name><name><surname>Morandi</surname><given-names>A</given-names></name><name><surname>Ippolito</surname><given-names>L</given-names></name><name><surname>Parri</surname><given-names>M</given-names></name><name><surname>Montagnani</surname><given-names>I</given-names></name><name><surname>Raspollini</surname><given-names>MR</given-names></name><name><surname>Serni</surname><given-names>S</given-names></name><name><surname>Simeoni</surname><given-names>L</given-names></name><etal/></person-group><article-title>Lactate modulates CD4<sup>&#x002B;</sup> T-cell polarization and induces an immunosuppressive environment, which sustains prostate carcinoma progression via TLR8/miR21 axis</article-title><source>Oncogene</source><volume>38</volume><fpage>3681</fpage><lpage>3695</lpage><year>2019</year><pub-id pub-id-type="doi">10.1038/s41388-019-0688-7</pub-id><pub-id pub-id-type="pmid">30664688</pub-id></element-citation></ref>
<ref id="b58-or-56-4-09186"><label>58</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chetta</surname><given-names>P</given-names></name><name><surname>Sriram</surname><given-names>R</given-names></name><name><surname>Zadra</surname><given-names>G</given-names></name></person-group><article-title>Lactate as key metabolite in prostate cancer progression: What are the clinical implications?</article-title><source>Cancers (Basel)</source><volume>15</volume><fpage>3473</fpage><year>2023</year><pub-id pub-id-type="doi">10.3390/cancers15133473</pub-id><pub-id pub-id-type="pmid">37444583</pub-id></element-citation></ref>
<ref id="b59-or-56-4-09186"><label>59</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>El-Kenawi</surname><given-names>A</given-names></name><name><surname>Gatenbee</surname><given-names>C</given-names></name><name><surname>Robertson-Tessi</surname><given-names>M</given-names></name><name><surname>Bravo</surname><given-names>R</given-names></name><name><surname>Dhillon</surname><given-names>J</given-names></name><name><surname>Balagurunathan</surname><given-names>Y</given-names></name><name><surname>Berglund</surname><given-names>A</given-names></name><name><surname>Vishvakarma</surname><given-names>N</given-names></name><name><surname>Ibrahim-Hashim</surname><given-names>A</given-names></name><name><surname>Choi</surname><given-names>J</given-names></name><etal/></person-group><article-title>Acidity promotes tumour progression by altering macrophage phenotype in prostate cancer</article-title><source>Br J Cancer</source><volume>121</volume><fpage>556</fpage><lpage>566</lpage><year>2019</year><pub-id pub-id-type="doi">10.1038/s41416-019-0542-2</pub-id><pub-id pub-id-type="pmid">31417189</pub-id></element-citation></ref>
<ref id="b60-or-56-4-09186"><label>60</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Banerjee</surname><given-names>H</given-names></name><name><surname>Krauss</surname><given-names>C</given-names></name><name><surname>Worthington</surname><given-names>M</given-names></name><name><surname>Banerjee</surname><given-names>N</given-names></name><name><surname>Walker</surname><given-names>RS</given-names></name><name><surname>Hodges</surname><given-names>S</given-names></name><name><surname>Chen</surname><given-names>L</given-names></name><name><surname>Rawat</surname><given-names>K</given-names></name><name><surname>Dasgupta</surname><given-names>S</given-names></name><name><surname>Ghosh</surname><given-names>S</given-names></name><name><surname>Mandal</surname><given-names>S</given-names></name></person-group><article-title>Differential expression of efferocytosis and phagocytosis associated genes in tumor associated macrophages exposed to African American patient derived prostate cancer microenvironment</article-title><source>J Solid Tumors</source><volume>9</volume><fpage>22</fpage><lpage>27</lpage><year>2019</year><pub-id pub-id-type="doi">10.5430/jst.v9n2p22</pub-id><pub-id pub-id-type="pmid">31447959</pub-id></element-citation></ref>
<ref id="b61-or-56-4-09186"><label>61</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Han</surname><given-names>IH</given-names></name><name><surname>Song</surname><given-names>HO</given-names></name><name><surname>Ryu</surname><given-names>JS</given-names></name></person-group><article-title>IL-6 produced by prostate epithelial cells stimulated with <italic>Trichomonas vaginalis</italic> promotes proliferation of prostate cancer cells by inducing M2 polarization of THP-1-derived macrophages</article-title><source>PLoS Negl Trop Dis</source><volume>14</volume><fpage>e0008126</fpage><year>2020</year><pub-id pub-id-type="doi">10.1371/journal.pntd.0008126</pub-id><pub-id pub-id-type="pmid">32196489</pub-id></element-citation></ref>
<ref id="b62-or-56-4-09186"><label>62</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Masetti</surname><given-names>M</given-names></name><name><surname>Carriero</surname><given-names>R</given-names></name><name><surname>Portale</surname><given-names>F</given-names></name><name><surname>Marelli</surname><given-names>G</given-names></name><name><surname>Morina</surname><given-names>N</given-names></name><name><surname>Pandini</surname><given-names>M</given-names></name><name><surname>Iovino</surname><given-names>M</given-names></name><name><surname>Partini</surname><given-names>B</given-names></name><name><surname>Erreni</surname><given-names>M</given-names></name><name><surname>Ponzetta</surname><given-names>A</given-names></name><etal/></person-group><article-title>Lipid-loaded tumor-associated macrophages sustain tumor growth and invasiveness in prostate cancer</article-title><source>J Exp Med</source><volume>219</volume><fpage>e20210564</fpage><year>2022</year><pub-id pub-id-type="doi">10.1084/jem.20210564</pub-id><pub-id pub-id-type="pmid">34919143</pub-id></element-citation></ref>
<ref id="b63-or-56-4-09186"><label>63</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>M</given-names></name><name><surname>Che</surname><given-names>N</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Xuan</surname><given-names>Y</given-names></name><name><surname>Jin</surname><given-names>Y</given-names></name></person-group><article-title>Dauricine regulates prostate cancer progression by inhibiting PI3K/AKT-dependent M2 polarization of macrophages</article-title><source>Biochem Pharmacol</source><volume>217</volume><fpage>115838</fpage><year>2023</year><pub-id pub-id-type="doi">10.1016/j.bcp.2023.115838</pub-id><pub-id pub-id-type="pmid">37778445</pub-id></element-citation></ref>
<ref id="b64-or-56-4-09186"><label>64</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guan</surname><given-names>X</given-names></name><name><surname>Polesso</surname><given-names>F</given-names></name><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Sehrawat</surname><given-names>A</given-names></name><name><surname>Hawkins</surname><given-names>RM</given-names></name><name><surname>Murray</surname><given-names>SE</given-names></name><name><surname>Thomas</surname><given-names>GV</given-names></name><name><surname>Caruso</surname><given-names>B</given-names></name><name><surname>Thompson</surname><given-names>RF</given-names></name><name><surname>Wood</surname><given-names>MA</given-names></name><etal/></person-group><article-title>Androgen receptor activity in T cells limits checkpoint blockade efficacy</article-title><source>Nature</source><volume>606</volume><fpage>791</fpage><lpage>796</lpage><year>2022</year><pub-id pub-id-type="doi">10.1038/s41586-022-04522-6</pub-id><pub-id pub-id-type="pmid">35322234</pub-id></element-citation></ref>
<ref id="b65-or-56-4-09186"><label>65</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname><given-names>L</given-names></name><name><surname>Li</surname><given-names>G</given-names></name><name><surname>Jiang</surname><given-names>S</given-names></name><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Yang</surname><given-names>J</given-names></name><name><surname>Shah</surname><given-names>K</given-names></name><name><surname>Zhou</surname><given-names>L</given-names></name><name><surname>Song</surname><given-names>H</given-names></name><name><surname>Deng</surname><given-names>L</given-names></name><name><surname>Luo</surname><given-names>Z</given-names></name><etal/></person-group><article-title>1-Pyrroline-5-carboxylate inhibit T cell glycolysis in prostate cancer microenvironment by SHP1/PKM2/LDHB axis</article-title><source>Cell Commun Signal</source><volume>22</volume><fpage>101</fpage><year>2024</year><pub-id pub-id-type="doi">10.1186/s12964-024-01493-1</pub-id><pub-id pub-id-type="pmid">38326896</pub-id></element-citation></ref>
<ref id="b66-or-56-4-09186"><label>66</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rastogi</surname><given-names>I</given-names></name><name><surname>McNeel</surname><given-names>DG</given-names></name></person-group><article-title>Prostate tumor immune microenvironment changes following immunotherapy shared by patients who developed anti-tumor response or immune-related adverse events</article-title><source>Oncoimmunology</source><volume>14</volume><fpage>2595788</fpage><year>2025</year><pub-id pub-id-type="doi">10.1080/2162402X.2025.2595788</pub-id><pub-id pub-id-type="pmid">41378786</pub-id></element-citation></ref>
<ref id="b67-or-56-4-09186"><label>67</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>Y</given-names></name><name><surname>Zou</surname><given-names>L</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Zhao</surname><given-names>H</given-names></name></person-group><article-title>The overexpression of EP4 attenuates the killing ability of CD8&#x002B; T cells against prostate cancer cells through the PI3K/AKT signaling pathway</article-title><source>Crit Rev Immunol</source><volume>45</volume><fpage>1</fpage><lpage>13</lpage><year>2025</year><pub-id pub-id-type="doi">10.1615/CritRevImmunol.2024052115</pub-id></element-citation></ref>
<ref id="b68-or-56-4-09186"><label>68</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Molina</surname><given-names>OE</given-names></name><name><surname>LaRue</surname><given-names>H</given-names></name><name><surname>Simonyan</surname><given-names>D</given-names></name><name><surname>Hovington</surname><given-names>H</given-names></name><name><surname>Vittrant</surname><given-names>B</given-names></name><name><surname>T&#x00EA;tu</surname><given-names>B</given-names></name><name><surname>Fradet</surname><given-names>V</given-names></name><name><surname>Lacombe</surname><given-names>L</given-names></name><name><surname>Bergeron</surname><given-names>A</given-names></name><name><surname>Fradet</surname><given-names>Y</given-names></name></person-group><article-title>Regulatory and memory T lymphocytes infiltrating prostate tumors predict long term clinical outcomes</article-title><source>Front Immunol</source><volume>15</volume><fpage>1372837</fpage><year>2024</year><pub-id pub-id-type="doi">10.3389/fimmu.2024.1372837</pub-id><pub-id pub-id-type="pmid">38887294</pub-id></element-citation></ref>
<ref id="b69-or-56-4-09186"><label>69</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hellsten</surname><given-names>R</given-names></name><name><surname>Lilljebj&#x00F6;rn</surname><given-names>L</given-names></name><name><surname>Johansson</surname><given-names>M</given-names></name><name><surname>Leandersson</surname><given-names>K</given-names></name><name><surname>Bjartell</surname><given-names>A</given-names></name></person-group><article-title>The STAT3 inhibitor galiellalactone inhibits the generation of MDSC-like monocytes by prostate cancer cells and decreases immunosuppressive and tumorigenic factors</article-title><source>Prostate</source><volume>79</volume><fpage>1611</fpage><lpage>1621</lpage><year>2019</year><pub-id pub-id-type="doi">10.1002/pros.23885</pub-id><pub-id pub-id-type="pmid">31348843</pub-id></element-citation></ref>
<ref id="b70-or-56-4-09186"><label>70</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fu</surname><given-names>SY</given-names></name><name><surname>Chen</surname><given-names>FH</given-names></name><name><surname>Wang</surname><given-names>CC</given-names></name><name><surname>Yu</surname><given-names>CF</given-names></name><name><surname>Chiang</surname><given-names>CS</given-names></name><name><surname>Hong</surname><given-names>JH</given-names></name></person-group><article-title>Role of myeloid-derived suppressor cells in high-dose-irradiated TRAMP-C1 tumors: A therapeutic target and an index for assessing tumor microenvironment</article-title><source>Int J Radiat Oncol Biol Phys</source><volume>109</volume><fpage>1547</fpage><lpage>1558</lpage><year>2021</year><pub-id pub-id-type="doi">10.1016/j.ijrobp.2020.11.004</pub-id><pub-id pub-id-type="pmid">33188861</pub-id></element-citation></ref>
<ref id="b71-or-56-4-09186"><label>71</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Koinis</surname><given-names>F</given-names></name><name><surname>Xagara</surname><given-names>A</given-names></name><name><surname>Chantzara</surname><given-names>E</given-names></name><name><surname>Leontopoulou</surname><given-names>V</given-names></name><name><surname>Aidarinis</surname><given-names>C</given-names></name><name><surname>Kotsakis</surname><given-names>A</given-names></name></person-group><article-title>Myeloid-derived suppressor cells in prostate cancer: Present knowledge and future perspectives</article-title><source>Cells</source><volume>11</volume><fpage>20</fpage><year>2021</year><pub-id pub-id-type="doi">10.3390/cells11010020</pub-id><pub-id pub-id-type="pmid">35011582</pub-id></element-citation></ref>
<ref id="b72-or-56-4-09186"><label>72</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Siemi&#x0144;ska</surname><given-names>I</given-names></name><name><surname>Baran</surname><given-names>J</given-names></name></person-group><article-title>Myeloid-derived suppressor cells as key players and promising therapy targets in prostate cancer</article-title><source>Front Oncol</source><volume>12</volume><fpage>862416</fpage><year>2022</year><pub-id pub-id-type="doi">10.3389/fonc.2022.862416</pub-id><pub-id pub-id-type="pmid">35860573</pub-id></element-citation></ref>
<ref id="b73-or-56-4-09186"><label>73</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Feriz</surname><given-names>AM</given-names></name><name><surname>Khosrojerdi</surname><given-names>A</given-names></name><name><surname>Lotfollahi</surname><given-names>M</given-names></name><name><surname>Shamsaki</surname><given-names>N</given-names></name><name><surname>GhasemiGol</surname><given-names>M</given-names></name><name><surname>HosseiniGol</surname><given-names>E</given-names></name><name><surname>Fereidouni</surname><given-names>M</given-names></name><name><surname>Rohban</surname><given-names>MH</given-names></name><name><surname>Sebzari</surname><given-names>AR</given-names></name><name><surname>Saghafi</surname><given-names>S</given-names></name><etal/></person-group><article-title>Single-cell RNA sequencing uncovers heterogeneous transcriptional signatures in tumor-infiltrated dendritic cells in prostate cancer</article-title><source>Heliyon</source><volume>9</volume><fpage>e15694</fpage><year>2023</year><pub-id pub-id-type="doi">10.1016/j.heliyon.2023.e15694</pub-id><pub-id pub-id-type="pmid">37144199</pub-id></element-citation></ref>
<ref id="b74-or-56-4-09186"><label>74</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hawlina</surname><given-names>S</given-names></name><name><surname>Chowdhury</surname><given-names>HH</given-names></name><name><surname>Smrkolj</surname><given-names>T</given-names></name><name><surname>Zorec</surname><given-names>R</given-names></name></person-group><article-title>Dendritic cell-based vaccine prolongs survival and time to next therapy independently of the vaccine cell number</article-title><source>Biol Direct</source><volume>17</volume><fpage>5</fpage><year>2022</year><pub-id pub-id-type="doi">10.1186/s13062-022-00318-w</pub-id><pub-id pub-id-type="pmid">35197090</pub-id></element-citation></ref>
<ref id="b75-or-56-4-09186"><label>75</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hensler</surname><given-names>M</given-names></name><name><surname>Rakova</surname><given-names>J</given-names></name><name><surname>Kasikova</surname><given-names>L</given-names></name><name><surname>Lanickova</surname><given-names>T</given-names></name><name><surname>Pasulka</surname><given-names>J</given-names></name><name><surname>Holicek</surname><given-names>P</given-names></name><name><surname>Hraska</surname><given-names>M</given-names></name><name><surname>Hrnciarova</surname><given-names>T</given-names></name><name><surname>Kadlecova</surname><given-names>P</given-names></name><name><surname>Schoenenberger</surname><given-names>A</given-names></name><etal/></person-group><article-title>Peripheral gene signatures reveal distinct cancer patient immunotypes with therapeutic implications for autologous DC-based vaccines</article-title><source>Oncoimmunology</source><volume>11</volume><fpage>2101596</fpage><year>2022</year><pub-id pub-id-type="doi">10.1080/2162402X.2022.2101596</pub-id><pub-id pub-id-type="pmid">35898703</pub-id></element-citation></ref>
<ref id="b76-or-56-4-09186"><label>76</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>N</given-names></name><name><surname>Liu</surname><given-names>Q</given-names></name><name><surname>Han</surname><given-names>Y</given-names></name><name><surname>Pei</surname><given-names>S</given-names></name><name><surname>Cheng</surname><given-names>B</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Miao</surname><given-names>X</given-names></name><name><surname>Pan</surname><given-names>Q</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Guo</surname><given-names>J</given-names></name><etal/></person-group><article-title>ARID1A loss induces polymorphonuclear myeloid-derived suppressor cell chemotaxis and promotes prostate cancer progression</article-title><source>Nat Commun</source><volume>13</volume><fpage>7281</fpage><year>2022</year><pub-id pub-id-type="doi">10.1038/s41467-022-34871-9</pub-id><pub-id pub-id-type="pmid">36435834</pub-id></element-citation></ref>
<ref id="b77-or-56-4-09186"><label>77</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stepka</surname><given-names>P</given-names></name><name><surname>Vsiansky</surname><given-names>V</given-names></name><name><surname>Raudenska</surname><given-names>M</given-names></name><name><surname>Gumulec</surname><given-names>J</given-names></name><name><surname>Adam</surname><given-names>V</given-names></name><name><surname>Masarik</surname><given-names>M</given-names></name></person-group><article-title>Metabolic and amino acid alterations of the tumor microenvironment</article-title><source>Curr Med Chem</source><volume>28</volume><fpage>1270</fpage><lpage>1289</lpage><year>2021</year><pub-id pub-id-type="doi">10.2174/0929867327666200207114658</pub-id><pub-id pub-id-type="pmid">32031065</pub-id></element-citation></ref>
<ref id="b78-or-56-4-09186"><label>78</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mo</surname><given-names>C</given-names></name><name><surname>Huang</surname><given-names>B</given-names></name><name><surname>Zhuang</surname><given-names>J</given-names></name><name><surname>Jiang</surname><given-names>S</given-names></name><name><surname>Guo</surname><given-names>S</given-names></name><name><surname>Mao</surname><given-names>X</given-names></name></person-group><article-title>LncRNA nuclear-enriched abundant transcript 1 shuttled by prostate cancer cells-secreted exosomes initiates osteoblastic phenotypes in the bone metastatic microenvironment via miR-205-5p/runt-related transcription factor 2/splicing factor proline- and glutamine-rich/polypyrimidine tract-binding protein 2 axis</article-title><source>Clin Transl Med</source><volume>11</volume><fpage>e493</fpage><year>2021</year><pub-id pub-id-type="doi">10.1002/ctm2.493</pub-id><pub-id pub-id-type="pmid">34459124</pub-id></element-citation></ref>
<ref id="b79-or-56-4-09186"><label>79</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname><given-names>YJ</given-names></name><name><surname>Seo</surname><given-names>CW</given-names></name><name><surname>Chae</surname><given-names>S</given-names></name><name><surname>Lee</surname><given-names>CY</given-names></name><name><surname>Kim</surname><given-names>SS</given-names></name><name><surname>Shin</surname><given-names>YH</given-names></name><name><surname>Park</surname><given-names>HM</given-names></name><name><surname>Gho</surname><given-names>YS</given-names></name><name><surname>Ryu</surname><given-names>S</given-names></name><name><surname>Lee</surname><given-names>SH</given-names></name><name><surname>Choi</surname><given-names>D</given-names></name></person-group><article-title>Metabolic reprogramming into a glycolysis phenotype induced by extracellular vesicles derived from prostate cancer cells</article-title><source>Mol Cell Proteomics</source><volume>24</volume><fpage>100944</fpage><year>2025</year><pub-id pub-id-type="doi">10.1016/j.mcpro.2025.100944</pub-id><pub-id pub-id-type="pmid">40089067</pub-id></element-citation></ref>
<ref id="b80-or-56-4-09186"><label>80</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ippolito</surname><given-names>JE</given-names></name><name><surname>Brandenburg</surname><given-names>MW</given-names></name><name><surname>Ge</surname><given-names>X</given-names></name><name><surname>Crowley</surname><given-names>JR</given-names></name><name><surname>Kirmess</surname><given-names>KM</given-names></name><name><surname>Som</surname><given-names>A</given-names></name><name><surname>D&#x0027;Avignon</surname><given-names>DA</given-names></name><name><surname>Arbeit</surname><given-names>JM</given-names></name><name><surname>Achilefu</surname><given-names>S</given-names></name><name><surname>Yarasheski</surname><given-names>KE</given-names></name><name><surname>Milbrandt</surname><given-names>J</given-names></name></person-group><article-title>Extracellular pH modulates neuroendocrine prostate cancer cell metabolism and susceptibility to the mitochondrial inhibitor niclosamide</article-title><source>PLoS One</source><volume>11</volume><fpage>e0159675</fpage><year>2016</year><pub-id pub-id-type="doi">10.1371/journal.pone.0159675</pub-id><pub-id pub-id-type="pmid">27438712</pub-id></element-citation></ref>
<ref id="b81-or-56-4-09186"><label>81</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Matos</surname><given-names>A</given-names></name><name><surname>Carvalho</surname><given-names>M</given-names></name><name><surname>Bicho</surname><given-names>M</given-names></name><name><surname>Ribeiro</surname><given-names>R</given-names></name></person-group><article-title>Arginine and arginases modulate metabolism, tumor microenvironment and prostate cancer progression</article-title><source>Nutrients</source><volume>13</volume><fpage>4503</fpage><year>2021</year><pub-id pub-id-type="doi">10.3390/nu13124503</pub-id><pub-id pub-id-type="pmid">34960055</pub-id></element-citation></ref>
<ref id="b82-or-56-4-09186"><label>82</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>GE</given-names></name><name><surname>Yoon</surname><given-names>SY</given-names></name><name><surname>Lee</surname><given-names>JS</given-names></name><name><surname>Leem</surname><given-names>SH</given-names></name><name><surname>Choi</surname><given-names>YH</given-names></name></person-group><article-title>Tumor microenvironment-driven drug resistance in urologic cancers: Mechanisms and therapeutic targets</article-title><source>Genes Genomics</source><volume>48</volume><fpage>173</fpage><lpage>184</lpage><year>2026</year><pub-id pub-id-type="doi">10.1007/s13258-025-01710-2</pub-id><pub-id pub-id-type="pmid">41296173</pub-id></element-citation></ref>
<ref id="b83-or-56-4-09186"><label>83</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Chen</surname><given-names>G</given-names></name><name><surname>Liu</surname><given-names>Z</given-names></name></person-group><article-title>Integrated regulation of ferroptosis in prostate cancer covering mechanisms, resistance, and translational opportunities</article-title><source>J Mol Med (Berl)</source><volume>104</volume><fpage>40</fpage><year>2026</year><pub-id pub-id-type="doi">10.1007/s00109-026-02641-5</pub-id><pub-id pub-id-type="pmid">41639281</pub-id></element-citation></ref>
<ref id="b84-or-56-4-09186"><label>84</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Linares</surname><given-names>JF</given-names></name><name><surname>Cordes</surname><given-names>T</given-names></name><name><surname>Duran</surname><given-names>A</given-names></name><name><surname>Reina-Campos</surname><given-names>M</given-names></name><name><surname>Valencia</surname><given-names>T</given-names></name><name><surname>Ahn</surname><given-names>CS</given-names></name><name><surname>Castilla</surname><given-names>EA</given-names></name><name><surname>Moscat</surname><given-names>J</given-names></name><name><surname>Metallo</surname><given-names>CM</given-names></name><name><surname>Diaz-Meco</surname><given-names>MT</given-names></name></person-group><article-title>ATF4-induced metabolic reprograming is a synthetic vulnerability of the p62-deficient tumor stroma</article-title><source>Cell Metab</source><volume>26</volume><fpage>817</fpage><lpage>829.e6</lpage><year>2017</year><pub-id pub-id-type="doi">10.1016/j.cmet.2017.09.001</pub-id><pub-id pub-id-type="pmid">28988820</pub-id></element-citation></ref>
<ref id="b85-or-56-4-09186"><label>85</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cha</surname><given-names>HR</given-names></name><name><surname>Lee</surname><given-names>JH</given-names></name><name><surname>Ponnazhagan</surname><given-names>S</given-names></name></person-group><article-title>Revisiting immunotherapy: A focus on prostate cancer</article-title><source>Cancer Res</source><volume>80</volume><fpage>1615</fpage><lpage>1623</lpage><year>2020</year><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-19-2948</pub-id><pub-id pub-id-type="pmid">32066566</pub-id></element-citation></ref>
<ref id="b86-or-56-4-09186"><label>86</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gouda</surname><given-names>MA</given-names></name><name><surname>Voss</surname><given-names>MH</given-names></name><name><surname>Tawbi</surname><given-names>H</given-names></name><name><surname>Gordon</surname><given-names>M</given-names></name><name><surname>Tykodi</surname><given-names>SS</given-names></name><name><surname>Lam</surname><given-names>ET</given-names></name><name><surname>Vaishampayan</surname><given-names>U</given-names></name><name><surname>Tannir</surname><given-names>NM</given-names></name><name><surname>Chaves</surname><given-names>J</given-names></name><name><surname>Nikolinakos</surname><given-names>P</given-names></name><etal/></person-group><article-title>A phase I/II study of the safety and efficacy of telaglenastat (CB-839) in combination with nivolumab in patients with metastatic melanoma, renal cell carcinoma, and non-small-cell lung cancer</article-title><source>ESMO Open</source><volume>10</volume><fpage>104536</fpage><year>2025</year><pub-id pub-id-type="doi">10.1016/j.esmoop.2025.104536</pub-id><pub-id pub-id-type="pmid">40359708</pub-id></element-citation></ref>
<ref id="b87-or-56-4-09186"><label>87</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sharma</surname><given-names>P</given-names></name><name><surname>Pachynski</surname><given-names>RK</given-names></name><name><surname>Narayan</surname><given-names>V</given-names></name><name><surname>Fl&#x00E9;chon</surname><given-names>A</given-names></name><name><surname>Gravis</surname><given-names>G</given-names></name><name><surname>Galsky</surname><given-names>MD</given-names></name><name><surname>Mahammedi</surname><given-names>H</given-names></name><name><surname>Patnaik</surname><given-names>A</given-names></name><name><surname>Subudhi</surname><given-names>SK</given-names></name><name><surname>Ciprotti</surname><given-names>M</given-names></name><etal/></person-group><article-title>Nivolumab plus ipilimumab for metastatic castration-resistant prostate cancer: Preliminary analysis of patients in the CheckMate 650 trial</article-title><source>Cancer Cell</source><volume>38</volume><fpage>489</fpage><lpage>499.e3</lpage><year>2020</year><pub-id pub-id-type="doi">10.1016/j.ccell.2020.08.007</pub-id><pub-id pub-id-type="pmid">32916128</pub-id></element-citation></ref>
<ref id="b88-or-56-4-09186"><label>88</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shenderov</surname><given-names>E</given-names></name><name><surname>Boudadi</surname><given-names>K</given-names></name><name><surname>Fu</surname><given-names>W</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Sullivan</surname><given-names>R</given-names></name><name><surname>Jordan</surname><given-names>A</given-names></name><name><surname>Dowling</surname><given-names>D</given-names></name><name><surname>Harb</surname><given-names>R</given-names></name><name><surname>Schonhoft</surname><given-names>J</given-names></name><name><surname>Jendrisak</surname><given-names>A</given-names></name><etal/></person-group><article-title>Nivolumab plus ipilimumab, with or without enzalutamide, in AR-V7-expressing metastatic castration-resistant prostate cancer: A phase-2 nonrandomized clinical trial</article-title><source>Prostate</source><volume>81</volume><fpage>326</fpage><lpage>338</lpage><year>2021</year><pub-id pub-id-type="doi">10.1002/pros.24110</pub-id><pub-id pub-id-type="pmid">33636027</pub-id></element-citation></ref>
<ref id="b89-or-56-4-09186"><label>89</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Powles</surname><given-names>T</given-names></name><name><surname>Yuen</surname><given-names>KC</given-names></name><name><surname>Gillessen</surname><given-names>S</given-names></name><name><surname>Kadel</surname><given-names>EE</given-names><suffix>III</suffix></name><name><surname>Rathkopf</surname><given-names>D</given-names></name><name><surname>Matsubara</surname><given-names>N</given-names></name><name><surname>Drake</surname><given-names>CG</given-names></name><name><surname>Fizazi</surname><given-names>K</given-names></name><name><surname>Piulats</surname><given-names>JM</given-names></name><name><surname>Wysocki</surname><given-names>PJ</given-names></name><etal/></person-group><article-title>Atezolizumab with enzalutamide versus enzalutamide alone in metastatic castration-resistant prostate cancer: A randomized phase 3 trial</article-title><source>Nat Med</source><volume>28</volume><fpage>144</fpage><lpage>153</lpage><year>2022</year><pub-id pub-id-type="doi">10.1038/s41591-021-01600-6</pub-id><pub-id pub-id-type="pmid">35013615</pub-id></element-citation></ref>
<ref id="b90-or-56-4-09186"><label>90</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hegde</surname><given-names>A</given-names></name><name><surname>Jayaprakash</surname><given-names>P</given-names></name><name><surname>Couillault</surname><given-names>CA</given-names></name><name><surname>Piha-Paul</surname><given-names>S</given-names></name><name><surname>Karp</surname><given-names>D</given-names></name><name><surname>Rodon</surname><given-names>J</given-names></name><name><surname>Pant</surname><given-names>S</given-names></name><name><surname>Fu</surname><given-names>S</given-names></name><name><surname>Dumbrava</surname><given-names>EE</given-names></name><name><surname>Yap</surname><given-names>TA</given-names></name><etal/></person-group><article-title>A phase I dose-escalation study to evaluate the safety and tolerability of evofosfamide in combination with ipilimumab in advanced solid malignancies</article-title><source>Clin Cancer Res</source><volume>27</volume><fpage>3050</fpage><lpage>3060</lpage><year>2021</year><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-20-4118</pub-id><pub-id pub-id-type="pmid">33771853</pub-id></element-citation></ref>
<ref id="b91-or-56-4-09186"><label>91</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lowentritt</surname><given-names>BH</given-names></name><name><surname>Kipper</surname><given-names>MS</given-names></name></person-group><article-title>Understanding and improving <sup>18</sup>F-fluciclovine PET/CT reports: A guide for physicians treating patients with biochemical recurrence of prostate cancer</article-title><source>Prostate Cancer</source><volume>2020</volume><fpage>1929565</fpage><year>2020</year><pub-id pub-id-type="doi">10.1155/2020/1929565</pub-id><pub-id pub-id-type="pmid">32395349</pub-id></element-citation></ref>
<ref id="b92-or-56-4-09186"><label>92</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>X</given-names></name><name><surname>Liu</surname><given-names>R</given-names></name><name><surname>Gao</surname><given-names>W</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name></person-group><article-title>Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironment</article-title><source>Cell Mol Biol Lett</source><volume>28</volume><fpage>38</fpage><year>2023</year><pub-id pub-id-type="doi">10.1186/s11658-023-00450-z</pub-id><pub-id pub-id-type="pmid">37161356</pub-id></element-citation></ref>
<ref id="b93-or-56-4-09186"><label>93</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Byrne</surname><given-names>MHV</given-names></name><name><surname>Anbarasan</surname><given-names>T</given-names></name><name><surname>Browning</surname><given-names>L</given-names></name><name><surname>Woodcock</surname><given-names>DJ</given-names></name></person-group><article-title>What spatial omics is teaching us about field cancerisation in prostate and bladder cancer</article-title><source>BJU Int</source><volume>136</volume><fpage>578</fpage><lpage>589</lpage><year>2025</year><pub-id pub-id-type="doi">10.1111/bju.16830</pub-id><pub-id pub-id-type="pmid">40566675</pub-id></element-citation></ref>
<ref id="b94-or-56-4-09186"><label>94</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>F</given-names></name><name><surname>Pan</surname><given-names>Q</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name></person-group><article-title>Integrating multi-omics proteomic approaches in deciphering the tumor microenvironment and therapeutic resistance mechanisms in prostate cancer</article-title><source>Biochim Biophys Acta Rev Cancer</source><volume>1880</volume><fpage>189426</fpage><year>2025</year><pub-id pub-id-type="doi">10.1016/j.bbcan.2025.189426</pub-id><pub-id pub-id-type="pmid">40846252</pub-id></element-citation></ref>
<ref id="b95-or-56-4-09186"><label>95</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mizuno</surname><given-names>K</given-names></name><name><surname>Beltran</surname><given-names>H</given-names></name></person-group><article-title>Future directions for precision oncology in prostate cancer</article-title><source>Prostate</source><volume>82</volume><supplement>(Suppl 1)</supplement><fpage>S86</fpage><lpage>S96</lpage><year>2022</year><pub-id pub-id-type="doi">10.1002/pros.24354</pub-id><pub-id pub-id-type="pmid">35657153</pub-id></element-citation></ref>
<ref id="b96-or-56-4-09186"><label>96</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>ChallaSivaKanaka</surname><given-names>S</given-names></name><name><surname>Vickman</surname><given-names>RE</given-names></name><name><surname>Kakarla</surname><given-names>M</given-names></name><name><surname>Hayward</surname><given-names>SW</given-names></name><name><surname>Franco</surname><given-names>OE</given-names></name></person-group><article-title>Fibroblast heterogeneity in prostate carcinogenesis</article-title><source>Cancer Lett</source><volume>525</volume><fpage>76</fpage><lpage>83</lpage><year>2022</year><pub-id pub-id-type="doi">10.1016/j.canlet.2021.10.028</pub-id><pub-id pub-id-type="pmid">34715252</pub-id></element-citation></ref>
<ref id="b97-or-56-4-09186"><label>97</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Owen</surname><given-names>JS</given-names></name><name><surname>Clayton</surname><given-names>A</given-names></name><name><surname>Pearson</surname><given-names>HB</given-names></name></person-group><article-title>Cancer-associated fibroblast heterogeneity, activation and function: Implications for prostate cancer</article-title><source>Biomolecules</source><volume>13</volume><fpage>67</fpage><year>2022</year><pub-id pub-id-type="doi">10.3390/biom13010067</pub-id><pub-id pub-id-type="pmid">36671452</pub-id></element-citation></ref>
<ref id="b98-or-56-4-09186"><label>98</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lupsa</surname><given-names>N</given-names></name><name><surname>Heninger</surname><given-names>E</given-names></name><name><surname>Ding</surname><given-names>AB</given-names></name><name><surname>Sanchez De Diego</surname><given-names>C</given-names></name><name><surname>Vietor</surname><given-names>K</given-names></name><name><surname>Reese</surname><given-names>SR</given-names></name><name><surname>LeBeau</surname><given-names>AM</given-names></name><name><surname>Kosoff</surname><given-names>D</given-names></name><name><surname>Beebe</surname><given-names>DJ</given-names></name><name><surname>Kerr</surname><given-names>SC</given-names></name><name><surname>Lang</surname><given-names>JM</given-names></name></person-group><article-title>Prostate cancer-associated fibroblasts: A review on CAF functions, heterogeneity, resistance mechanisms, and future in a chip</article-title><source>Int J Mol Sci</source><volume>27</volume><fpage>1585</fpage><year>2026</year><pub-id pub-id-type="doi">10.3390/ijms27031585</pub-id><pub-id pub-id-type="pmid">41684004</pub-id></element-citation></ref>
<ref id="b99-or-56-4-09186"><label>99</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>T</given-names></name><name><surname>Li</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>Z</given-names></name><name><surname>Zeng</surname><given-names>Z</given-names></name><name><surname>Li</surname><given-names>T</given-names></name><name><surname>Chen</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>H</given-names></name><name><surname>Wu</surname><given-names>X</given-names></name><name><surname>Shen</surname><given-names>Y</given-names></name><name><surname>Fan</surname><given-names>H</given-names></name><etal/></person-group><article-title>IL-6/STAT3 signaling in prostate cancer: CAF-driven immune evasion and therapeutic opportunities</article-title><source>Front Immunol</source><volume>16</volume><fpage>1736606</fpage><year>2026</year><pub-id pub-id-type="doi">10.3389/fimmu.2025.1736606</pub-id><pub-id pub-id-type="pmid">41660621</pub-id></element-citation></ref>
<ref id="b100-or-56-4-09186"><label>100</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>L</given-names></name><name><surname>Xu</surname><given-names>YX</given-names></name><name><surname>Wang</surname><given-names>YS</given-names></name><name><surname>Ren</surname><given-names>YY</given-names></name><name><surname>Dong</surname><given-names>XM</given-names></name><name><surname>Wu</surname><given-names>P</given-names></name><name><surname>Xie</surname><given-names>T</given-names></name><name><surname>Zhang</surname><given-names>Q</given-names></name><name><surname>Zhou</surname><given-names>JL</given-names></name></person-group><article-title>Prostate cancer microenvironment: multidimensional regulation of immune cells, vascular system, stromal cells, and microbiota</article-title><source>Mol Cancer</source><volume>23</volume><fpage>229</fpage><year>2024</year><pub-id pub-id-type="doi">10.1186/s12943-024-02137-1</pub-id><pub-id pub-id-type="pmid">39395984</pub-id></element-citation></ref>
<ref id="b101-or-56-4-09186"><label>101</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>M</given-names></name><name><surname>Kwantwi</surname><given-names>LB</given-names></name><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Xiao</surname><given-names>Q</given-names></name></person-group><article-title>Tumor microenvironment-mediated immune evasion and resistance in prostate cancer: Mechanisms, cross-talk, and therapeutic opportunities</article-title><source>Clin Exp Med</source><volume>26</volume><fpage>60</fpage><year>2025</year><pub-id pub-id-type="doi">10.1007/s10238-025-01944-0</pub-id><pub-id pub-id-type="pmid">41296089</pub-id></element-citation></ref>
<ref id="b102-or-56-4-09186"><label>102</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>H</given-names></name><name><surname>Lyu</surname><given-names>F</given-names></name><name><surname>Gao</surname><given-names>X</given-names></name></person-group><article-title>Advances in ferroptosis for castration-resistant prostate cancer treatment: Novel drug targets and combination therapy strategies</article-title><source>Prostate Cancer Prostatic Dis</source><volume>29</volume><fpage>36</fpage><lpage>46</lpage><year>2026</year><pub-id pub-id-type="doi">10.1038/s41391-024-00933-w</pub-id><pub-id pub-id-type="pmid">39733054</pub-id></element-citation></ref>
<ref id="b103-or-56-4-09186"><label>103</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rossetto</surname><given-names>RZ</given-names></name><name><surname>Maciel</surname><given-names>SFVO</given-names></name><name><surname>Cardoso</surname><given-names>AM</given-names></name></person-group><article-title>Relationship between purinergic signalling and oxidative stress in prostate cancer: Perspectives for future therapy</article-title><source>Crit Rev Oncol Hematol</source><volume>209</volume><fpage>104675</fpage><year>2025</year><pub-id pub-id-type="doi">10.1016/j.critrevonc.2025.104675</pub-id><pub-id pub-id-type="pmid">40015351</pub-id></element-citation></ref>
<ref id="b104-or-56-4-09186"><label>104</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Espitia-P&#x00E9;rez</surname><given-names>PJ</given-names></name><name><surname>Espitia-Perez</surname><given-names>LM</given-names></name><name><surname>Negrette-Guzm&#x00E1;n</surname><given-names>M</given-names></name></person-group><article-title>Targeting prostate cancer metabolism through transcriptional and epigenetic modulation: A multi-target approach to therapeutic innovation</article-title><source>Int J Mol Sci</source><volume>26</volume><fpage>6013</fpage><year>2025</year><pub-id pub-id-type="doi">10.3390/ijms26136013</pub-id><pub-id pub-id-type="pmid">40649790</pub-id></element-citation></ref>
<ref id="b105-or-56-4-09186"><label>105</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Naik</surname><given-names>A</given-names></name><name><surname>Thakur</surname><given-names>N</given-names></name></person-group><article-title>Epigenetic regulation of TGF-&#x03B2; and vice versa in cancers-A review on recent developments</article-title><source>Biochim Biophys Acta Rev Cancer</source><volume>1879</volume><fpage>189219</fpage><year>2024</year><pub-id pub-id-type="doi">10.1016/j.bbcan.2024.189219</pub-id><pub-id pub-id-type="pmid">39549878</pub-id></element-citation></ref>
<ref id="b106-or-56-4-09186"><label>106</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hao</surname><given-names>Z</given-names></name><name><surname>Xie</surname><given-names>Y</given-names></name><name><surname>Zhang</surname><given-names>R</given-names></name><name><surname>Sang</surname><given-names>H</given-names></name><name><surname>Li</surname><given-names>L</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Hu</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Chai</surname><given-names>K</given-names></name><name><surname>Zhao</surname><given-names>Q</given-names></name></person-group><article-title>Gut microbiota as a multifaceted modulator of prostate cancer: Mechanistic insights, therapeutic opportunities and clinical challenges (review)</article-title><source>Mol Med Rep</source><volume>33</volume><fpage>65</fpage><year>2026</year><pub-id pub-id-type="pmid">41384299</pub-id></element-citation></ref>
<ref id="b107-or-56-4-09186"><label>107</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qasem</surname><given-names>HH</given-names></name><name><surname>El-Sayed</surname><given-names>WM</given-names></name></person-group><article-title>The bacterial microbiome and cancer: Development, diagnosis, treatment, and future directions</article-title><source>Clin Exp Med</source><volume>25</volume><fpage>12</fpage><year>2024</year><pub-id pub-id-type="doi">10.1007/s10238-024-01523-9</pub-id><pub-id pub-id-type="pmid">39607612</pub-id></element-citation></ref>
<ref id="b108-or-56-4-09186"><label>108</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fidelito</surname><given-names>G</given-names></name><name><surname>Watt</surname><given-names>MJ</given-names></name><name><surname>Taylor</surname><given-names>RA</given-names></name></person-group><article-title>Personalized medicine for prostate cancer: Is targeting metabolism a reality?</article-title><source>Front Oncol</source><volume>11</volume><fpage>778761</fpage><year>2022</year><pub-id pub-id-type="doi">10.3389/fonc.2021.778761</pub-id><pub-id pub-id-type="pmid">35127483</pub-id></element-citation></ref>
<ref id="b109-or-56-4-09186"><label>109</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ottini</surname><given-names>A</given-names></name><name><surname>Sepe</surname><given-names>P</given-names></name><name><surname>Beninato</surname><given-names>T</given-names></name><name><surname>Claps</surname><given-names>M</given-names></name><name><surname>Guadalupi</surname><given-names>V</given-names></name><name><surname>Verzoni</surname><given-names>E</given-names></name><name><surname>Giannatempo</surname><given-names>P</given-names></name><name><surname>Baciarello</surname><given-names>G</given-names></name><name><surname>de Braud</surname><given-names>F</given-names></name><name><surname>Procopio</surname><given-names>G</given-names></name></person-group><article-title>Biomarker-driven immunotherapy for precision medicine in prostate cancer</article-title><source>Per Med</source><volume>19</volume><fpage>51</fpage><lpage>66</lpage><year>2022</year><pub-id pub-id-type="doi">10.2217/pme-2021-0079</pub-id><pub-id pub-id-type="pmid">34873959</pub-id></element-citation></ref>
<ref id="b110-or-56-4-09186"><label>110</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>San-Jose Manso</surname><given-names>L</given-names></name><name><surname>Alfranca</surname><given-names>A</given-names></name><name><surname>Moreno-P&#x00E9;rez</surname><given-names>I</given-names></name><name><surname>Ruiz-Vico</surname><given-names>M</given-names></name><name><surname>Velasco</surname><given-names>C</given-names></name><name><surname>Toquero</surname><given-names>P</given-names></name><name><surname>Pacheco</surname><given-names>M</given-names></name><name><surname>Zapatero</surname><given-names>A</given-names></name><name><surname>Aldave</surname><given-names>D</given-names></name><name><surname>Celada</surname><given-names>G</given-names></name><etal/></person-group><article-title>Immunome profiling in prostate cancer: A guide for clinicians</article-title><source>Front Immunol</source><volume>15</volume><fpage>1398109</fpage><year>2024</year><pub-id pub-id-type="doi">10.3389/fimmu.2024.1398109</pub-id><pub-id pub-id-type="pmid">39635522</pub-id></element-citation></ref>
<ref id="b111-or-56-4-09186"><label>111</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sollini</surname><given-names>M</given-names></name><name><surname>Calais</surname><given-names>J</given-names></name><name><surname>Chiti</surname><given-names>A</given-names></name><name><surname>Emmett</surname><given-names>L</given-names></name><name><surname>Fanti</surname><given-names>S</given-names></name><name><surname>Fendler</surname><given-names>W</given-names></name><name><surname>Herrmann</surname><given-names>K</given-names></name><name><surname>Hope</surname><given-names>TA</given-names></name><name><surname>Sartor</surname><given-names>O</given-names></name><name><surname>Shuch</surname><given-names>B</given-names></name><etal/></person-group><article-title>Novel Radiopharmaceuticals and future of theranostics in genitourinary cancers</article-title><source>Eur Urol</source><volume>87</volume><fpage>125</fpage><lpage>139</lpage><year>2025</year><pub-id pub-id-type="doi">10.1016/j.eururo.2024.09.036</pub-id><pub-id pub-id-type="pmid">39428326</pub-id></element-citation></ref>
<ref id="b112-or-56-4-09186"><label>112</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname><given-names>J</given-names></name><name><surname>Hai</surname><given-names>Y</given-names></name><name><surname>Zheng</surname><given-names>K</given-names></name><name><surname>Hu</surname><given-names>X</given-names></name><name><surname>Ni</surname><given-names>K</given-names></name></person-group><article-title>Nanoparticle-based drug delivery systems in urologic oncology: From targeted therapy to precision theranostics</article-title><source>Mater Today Bio</source><volume>35</volume><fpage>102585</fpage><year>2025</year><pub-id pub-id-type="doi">10.1016/j.mtbio.2025.102585</pub-id><pub-id pub-id-type="pmid">41404421</pub-id></element-citation></ref>
<ref id="b113-or-56-4-09186"><label>113</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pati</surname><given-names>SS</given-names></name><name><surname>Dhal</surname><given-names>S</given-names></name><name><surname>Pattnaik</surname><given-names>R</given-names></name><name><surname>Tripathy</surname><given-names>S</given-names></name><name><surname>Kumar</surname><given-names>S</given-names></name></person-group><article-title>mRNA vaccines in cancer immunotherapy: Recent advances, clinical translation, and future perspectives</article-title><source>Curr Med Sci</source><volume>45</volume><fpage>985</fpage><lpage>1002</lpage><year>2025</year><pub-id pub-id-type="doi">10.1007/s11596-025-00112-5</pub-id><pub-id pub-id-type="pmid">40952557</pub-id></element-citation></ref>
<ref id="b114-or-56-4-09186"><label>114</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Olino</surname><given-names>K</given-names></name><name><surname>Park</surname><given-names>T</given-names></name><name><surname>Ahuja</surname><given-names>N</given-names></name></person-group><article-title>Exposing hidden targets: Combining epigenetic and immunotherapy to overcome cancer resistance</article-title><source>Semin Cancer Biol</source><volume>65</volume><fpage>114</fpage><lpage>122</lpage><year>2020</year><pub-id pub-id-type="doi">10.1016/j.semcancer.2020.01.001</pub-id><pub-id pub-id-type="pmid">31911188</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-or-56-4-09186" position="float">
<label>Figure 1.</label>
<caption><p>Schematic overview of glutamine metabolism in prostate cancer cells. AR-V7, androgen receptor splice variant 7; ASCT2, alanine-serine-cysteine transporter 2; GLS, glutaminase; GLUD, glutamate dehydrogenase; Gln, glutamine; Glu, glutamate; GSH, glutathione; LAT1, L-type amino acid transporter 1; &#x03B1;-KG, &#x03B1;-ketoglutarate; TCA, tricarboxylic acid.</p></caption>
<alt-text>Schematic overview of glutamine metabolism in prostate cancer cells. AR-V7, androgen receptor splice variant 7; ASCT2, alanine-serine-cysteine transporter 2; GLS, glutaminase;...</alt-text>
<graphic xlink:href="or-56-04-09186-g00.tiff"/>
</fig>
<fig id="f2-or-56-4-09186" position="float">
<label>Figure 2.</label>
<caption><p>Schematic overview of ammonium metabolism in the prostate tumor microenvironment. ADA, adenosine deaminase; AMPD, adenosine monophosphate deaminase; BCAA, branched-chain amino acid; CPS1, carbamoyl phosphate synthetase I; GLS, glutaminase; GLUD, glutamate dehydrogenase; GLUL, glutamine synthetase; Gln, glutamine; Glu, glutamate; MDSC, myeloid-derived suppressor cell; TAM, tumor-associated macrophage; &#x03B1;-KG, &#x03B1;-ketoglutarate.</p></caption>
<alt-text>Schematic overview of ammonium metabolism in the prostate tumor microenvironment. ADA, adenosine deaminase; AMPD, adenosine monophosphate deaminase; BCAA, branched-chain amino...</alt-text>
<graphic xlink:href="or-56-04-09186-g01.tiff"/>
</fig>
<fig id="f3-or-56-4-09186" position="float">
<label>Figure 3.</label>
<caption><p>Schematic illustration of the metabolic-immune association mediated by glutamine and ammonium in the prostate tumor microenvironment. ASCT2, alanine-serine-cysteine transporter 2; DC, dendritic cell; EV, extracellular vesicle; GLS, glutaminase; GLUD, glutamate dehydrogenase; GLUL, glutamine synthetase; Gln, glutamine; Glu, glutamate; GSH: Glutathione; LAT1: L-type amino acid transporter 1; MDSC, myeloid-derived suppressor cell; PCa, prostate cancer; ROS, reactive oxygen species; TAM, tumor-associated macrophage; TCR, T cell receptor; &#x03B1;-KG, &#x03B1;-ketoglutarate.</p></caption>
<alt-text>Schematic illustration of the metabolic-immune association mediated by glutamine and ammonium in the prostate tumor microenvironment. ASCT2, alanine-serine-cysteine transporter 2;...</alt-text>
<graphic xlink:href="or-56-04-09186-g02.tiff"/>
</fig>
<table-wrap id="tI-or-56-4-09186" position="float">
<label>Table I.</label>
<caption><p>Metabolic reprogramming of immune cells in the prostate TME.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">First author, year</th>
<th align="center" valign="bottom">Immune cell type</th>
<th align="center" valign="bottom">Model system</th>
<th align="center" valign="bottom">Findings</th>
<th align="center" valign="bottom">Metabolic features</th>
<th align="center" valign="bottom">Immune consequence</th>
<th align="center" valign="bottom">(Refs.)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Bharti <italic>et al</italic>, 2019</td>
<td align="left" valign="top">General TME</td>
<td align="left" valign="top">Primary and metastatic PCa tissue</td>
<td align="left" valign="top">Hypoxia shapes regional metabolic heterogeneity and influences therapeutic responses</td>
<td align="left" valign="top">Hypoxia-driven metabolic adaptation</td>
<td align="left" valign="top">Immune cell dysfunction</td>
<td align="center" valign="top">(<xref rid="b53-or-56-4-09186" ref-type="bibr">53</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Arocena <italic>et al</italic>, 2019</td>
<td align="left" valign="top">General TME</td>
<td align="left" valign="top">Coverslip hypoxia model</td>
<td align="left" valign="top">Oxygen gradients drive metabolic adaptation in tumor cells</td>
<td align="left" valign="top">Hypoxia gradient sensing</td>
<td align="left" valign="top">Altered immune landscape</td>
<td align="center" valign="top">(<xref rid="b54-or-56-4-09186" ref-type="bibr">54</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Bery <italic>et al</italic>, 2020</td>
<td align="left" valign="top">General TME</td>
<td align="left" valign="top">PCa cell lines (including 22Rv1, PC-3, DU145) and organotypic cultures of human prostate tissue</td>
<td align="left" valign="top">Hypoxia upregulates Zeb1 and potassium channels, promoting aggressiveness</td>
<td align="left" valign="top">Hypoxia-induced transcriptional reprogramming</td>
<td align="left" valign="top">Enhanced metastatic potential</td>
<td align="center" valign="top">(<xref rid="b55-or-56-4-09186" ref-type="bibr">55</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Bok <italic>et al</italic>, 2019</td>
<td align="left" valign="top">General TME</td>
<td align="left" valign="top">Dual-agent hyper-polarized 13C MRSI</td>
<td align="left" valign="top">Lactate serves as metabolic fuel and signaling molecule in PCa</td>
<td align="left" valign="top">Lactate metabolism</td>
<td align="left" valign="top">Metabolic fuel for tumor</td>
<td align="center" valign="top">(<xref rid="b56-or-56-4-09186" ref-type="bibr">56</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Comito <italic>et al</italic>, 2019</td>
<td align="left" valign="top">CD4<sup>&#x002B;</sup> T cells</td>
<td align="left" valign="top">PCa cell line-derived xenograft models in immunodeficient mice</td>
<td align="left" valign="top">Lactate modulates CD4<sup>&#x002B;</sup> T cell polarization via TLR8/miR21 signaling</td>
<td align="left" valign="top">Lactate signaling</td>
<td align="left" valign="top">Immunosuppressive environment</td>
<td align="center" valign="top">(<xref rid="b57-or-56-4-09186" ref-type="bibr">57</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Chetta <italic>et al</italic>, 2023</td>
<td align="left" valign="top">General TME</td>
<td align="left" valign="top">Review</td>
<td align="left" valign="top">Lactate promotes angiogenesis and suppresses antitumor immunity</td>
<td align="left" valign="top">Lactate as key metabolite</td>
<td align="left" valign="top">Multifaceted immunosuppression</td>
<td align="center" valign="top">(<xref rid="b58-or-56-4-09186" ref-type="bibr">58</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">El-Kenawi <italic>et al</italic>, 2019</td>
<td align="left" valign="top">TAMs</td>
<td align="left" valign="top">TRAMP transgenic model, subcutaneous grafts, and <italic>in vitro</italic> macrophage cultures</td>
<td align="left" valign="top">Acidity promotes tumor progression by altering macrophage phenotype</td>
<td align="left" valign="top">pH sensing</td>
<td align="left" valign="top">M2 polarization</td>
<td align="center" valign="top">(<xref rid="b59-or-56-4-09186" ref-type="bibr">59</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Banerjee <italic>et al</italic>, 2019</td>
<td align="left" valign="top">TAMs</td>
<td align="left" valign="top">Patient-derived PCa tumor-conditioned medium and co-culture with patient-derived cancer cells</td>
<td align="left" valign="top">Context-dependent transcriptional programs shape macrophage function</td>
<td align="left" valign="top">Metabolic plasticity</td>
<td align="left" valign="top">Altered phagocytic function</td>
<td align="center" valign="top">(<xref rid="b60-or-56-4-09186" ref-type="bibr">60</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Han <italic>et al</italic>, 2020</td>
<td align="left" valign="top">TAMs</td>
<td align="left" valign="top">THP-1 macrophages</td>
<td align="left" valign="top">IL-6 from prostate epithelial cells induces M2 polarization</td>
<td align="left" valign="top">Cytokine-driven metabolism</td>
<td align="left" valign="top">M2 polarization</td>
<td align="center" valign="top">(<xref rid="b61-or-56-4-09186" ref-type="bibr">61</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Praharaj <italic>et al</italic>, 2024</td>
<td align="left" valign="top">TAMs</td>
<td align="left" valign="top">RM-1 prostate cancer subcutaneous graft models</td>
<td align="left" valign="top">JHU083 reprograms TAMs toward pro-inflammatory phenotype</td>
<td align="left" valign="top">Glutamine metabolism</td>
<td align="left" valign="top">Enhanced phagocytosis, decreased angiogenesis</td>
<td align="center" valign="top">(<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Masetti <italic>et al</italic>, 2022</td>
<td align="left" valign="top">TAMs</td>
<td align="left" valign="top">PCa cell line-derived xenograft models (PC-3, DU145) in immuno-deficient mice</td>
<td align="left" valign="top">Lipid-loaded TAMs sustain tumor growth and invasiveness</td>
<td align="left" valign="top">Lipid metabolism</td>
<td align="left" valign="top">Tumor-supportive function</td>
<td align="center" valign="top">(<xref rid="b62-or-56-4-09186" ref-type="bibr">62</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Li <italic>et al</italic>, 2023</td>
<td align="left" valign="top">TAMs</td>
<td align="left" valign="top">Mouse models and PCa cell lines (RM-1, TRAMP-C1)</td>
<td align="left" valign="top">Dauricine inhibits PI3K/AKT-dependent M2 polarization</td>
<td align="left" valign="top">PI3K/AKT signaling</td>
<td align="left" valign="top">Decreased M2 polarization</td>
<td align="center" valign="top">(<xref rid="b63-or-56-4-09186" ref-type="bibr">63</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Guan <italic>et al</italic>, 2022</td>
<td align="left" valign="top">T cells</td>
<td align="left" valign="top">Immunocompetent mouse models</td>
<td align="left" valign="top">AR activity in T cells limits checkpoint blockade efficacy</td>
<td align="left" valign="top">Hormonal signaling</td>
<td align="left" valign="top">T cell dysfunction</td>
<td align="center" valign="top">(<xref rid="b64-or-56-4-09186" ref-type="bibr">64</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Chang <italic>et al</italic>, 2024</td>
<td align="left" valign="top">T cells</td>
<td align="left" valign="top">Prostate tumor tissue-derived microenvironment from mouse models and human PCa samples</td>
<td align="left" valign="top">1-Pyrroline-5-carboxylate inhibits T cell glycolysis via SHP1/PKM2/LDHB</td>
<td align="left" valign="top">Glycolysis inhibition</td>
<td align="left" valign="top">T cell dysfunction</td>
<td align="center" valign="top">(<xref rid="b65-or-56-4-09186" ref-type="bibr">65</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Rastogi and McNeel, 2025</td>
<td align="left" valign="top">T cells</td>
<td align="left" valign="top">Post-immunotherapy PCa patient samples</td>
<td align="left" valign="top">Shared features between antitumor response and immune-associated adverse events</td>
<td align="left" valign="top">Metabolic adaptation</td>
<td align="left" valign="top">Altered T cell function</td>
<td align="center" valign="top">(<xref rid="b66-or-56-4-09186" ref-type="bibr">66</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Zhou <italic>et al</italic>, 2025</td>
<td align="left" valign="top">CD8<sup>&#x002B;</sup> T cells</td>
<td align="left" valign="top">PCa cell lines (LNCaP, PC-3, DU145)</td>
<td align="left" valign="top">EP4 upregulation attenuates CD8<sup>&#x002B;</sup> T cell killing</td>
<td align="left" valign="top">PI3K/AKT signaling</td>
<td align="left" valign="top">Decreased cytotoxicity</td>
<td align="center" valign="top">(<xref rid="b67-or-56-4-09186" ref-type="bibr">67</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Molina <italic>et al</italic>, 2024</td>
<td align="left" valign="top">T lymphocytes</td>
<td align="left" valign="top">Prostate tumor tissues from radical prostatectomy patients</td>
<td align="left" valign="top">Regulatory and memory T cell infiltration predicts long-term outcomes</td>
<td align="left" valign="top">T cell metabolism</td>
<td align="left" valign="top">Prognostic value</td>
<td align="center" valign="top">(<xref rid="b68-or-56-4-09186" ref-type="bibr">68</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Hellsten <italic>et al</italic>, 2019</td>
<td align="left" valign="top">MDSCs</td>
<td align="left" valign="top">PCa cell lines (LNCaP, PC-3, DU145)</td>
<td align="left" valign="top">STAT3 inhibitor inhibits MDSC-like monocyte generation</td>
<td align="left" valign="top">STAT3 signaling</td>
<td align="left" valign="top">Decreased immunosuppression</td>
<td align="center" valign="top">(<xref rid="b69-or-56-4-09186" ref-type="bibr">69</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Fu <italic>et al</italic>, 2021</td>
<td align="left" valign="top">MDSCs</td>
<td align="left" valign="top">High-dose-irradiated TRAMP-C1 tumors</td>
<td align="left" valign="top">MDSCs serve as therapeutic target and index for TME status</td>
<td align="left" valign="top">Radiation-induced metabolism</td>
<td align="left" valign="top">Immunosuppressive barrier</td>
<td align="center" valign="top">(<xref rid="b70-or-56-4-09186" ref-type="bibr">70</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Koinis <italic>et al</italic>, 2021</td>
<td align="left" valign="top">MDSCs</td>
<td align="left" valign="top">Review</td>
<td align="left" valign="top">MDSCs are involved in PCa immune evasion</td>
<td align="left" valign="top">MDSC metabolism</td>
<td align="left" valign="top">Key role in immunosuppression</td>
<td align="center" valign="top">(<xref rid="b71-or-56-4-09186" ref-type="bibr">71</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Siemi&#x0144;ska and Baran, 2022</td>
<td align="left" valign="top">MDSCs</td>
<td align="left" valign="top">Review</td>
<td align="left" valign="top">MDSCs are key players and promising therapy targets in PCa</td>
<td align="left" valign="top">MDSC metabolism</td>
<td align="left" valign="top">Therapeutic targeting potential</td>
<td align="center" valign="top">(<xref rid="b72-or-56-4-09186" ref-type="bibr">72</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Feriz <italic>et al</italic>, 2023</td>
<td align="left" valign="top">DCs</td>
<td align="left" valign="top">Human PCa tumor tissues</td>
<td align="left" valign="top">Heterogeneous transcriptional signatures in tumor-infiltrating DCs</td>
<td align="left" valign="top">Transcriptional heterogeneity</td>
<td align="left" valign="top">Differential immunostimulatory capacity</td>
<td align="center" valign="top">(<xref rid="b73-or-56-4-09186" ref-type="bibr">73</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Hawlina <italic>et al</italic>, 2022</td>
<td align="left" valign="top">DCs</td>
<td align="left" valign="top">DC-based vaccine trial in patients with PCa</td>
<td align="left" valign="top">DC-based vaccines prolong survival independently of vaccine cell number</td>
<td align="left" valign="top">DC metabolism</td>
<td align="left" valign="top">Clinical immunotherapeutic efficacy</td>
<td align="center" valign="top">(<xref rid="b74-or-56-4-09186" ref-type="bibr">74</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Hensler <italic>et al</italic>, 2022</td>
<td align="left" valign="top">DCs</td>
<td align="left" valign="top">Patients with PCa (peripheral blood gene signature analysis)</td>
<td align="left" valign="top">Peripheral gene signatures distinguish patient immunotypes for DC-based vaccines</td>
<td align="left" valign="top">Metabolic signatures</td>
<td align="left" valign="top">Biomarker for patient selection</td>
<td align="center" valign="top">(<xref rid="b75-or-56-4-09186" ref-type="bibr">75</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Li <italic>et al</italic>, 2022</td>
<td align="left" valign="top">MDSCs</td>
<td align="left" valign="top">ARID1A knockout genetically engineered mouse models</td>
<td align="left" valign="top">ARID1A loss induces polymorphonuclear MDSC chemotaxis</td>
<td align="left" valign="top">Genetic regulation of metabolism</td>
<td align="left" valign="top">Enhanced MDSC recruitment</td>
<td align="center" valign="top">(<xref rid="b76-or-56-4-09186" ref-type="bibr">76</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-or-56-4-09186"><p>TME, tumor microenvironment; PCa, prostate cancer; TAM, tumor-associated macrophage; MDSC, myeloid-derived suppressor cell; DC, dendritic cell; MRSI, magnetic resonance spectroscopic imaging; TLR8, toll-like receptor 8; EMT, epithelial-mesenchymal transition; AR, androgen receptor; Zeb1, zinc finger E-box-binding homeobox 1; ARID1A, AT-rich interactive domain-containing protein 1A; TRAMP-C1, transgenic adenocarcinoma of the mouse prostate cell line C1; EP4, E-prostanoid receptor 4; SHP1/PKM2/LDHB, Src homology region 2 domain-containing phosphatase 1/pyruvate kinase M2/lactate dehydrogenase B.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-or-56-4-09186" position="float">
<label>Table II.</label>
<caption><p>Therapeutic strategies targeting the metabolic-immune interface in PCa.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">First author, year</th>
<th align="center" valign="bottom">Therapeutic agent/strategy</th>
<th align="center" valign="bottom">Model system</th>
<th align="center" valign="bottom">Target/mechanism</th>
<th align="center" valign="bottom">Findings</th>
<th align="center" valign="bottom">Combination partner</th>
<th align="center" valign="bottom">(Refs.)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Cha <italic>et al</italic>, 2020</td>
<td align="left" valign="top">CB-839 (telaglenastat)</td>
<td align="left" valign="top">Preclinical PCa xenograft</td>
<td align="left" valign="top">Glutaminase inhibition</td>
<td align="left" valign="top">Enhances radiosensitivity via redox state, stemness and autophagy modulation</td>
<td align="left" valign="top">Radiotherapy</td>
<td align="center" valign="top">(<xref rid="b85-or-56-4-09186" ref-type="bibr">85</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Praharaj <italic>et al</italic>, 2024</td>
<td align="left" valign="top">JHU083 (glutamine antagonist prodrug)</td>
<td align="left" valign="top">Myeloid-rich PCa and bladder cancer models</td>
<td align="left" valign="top">Glutamine antagonism</td>
<td align="left" valign="top">Reprograms TAMs to pro-inflammatory phenotype; increases phagocytosis; decreases angiogenesis</td>
<td align="left" valign="top">JHU083 (monotherapy)</td>
<td align="center" valign="top">(<xref rid="b14-or-56-4-09186" ref-type="bibr">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Moon <italic>et al</italic>, 2024</td>
<td align="left" valign="top">DRP-104 (glutamine antagonist)</td>
<td align="left" valign="top">Human CRPCa cell lines (LNCaP, LAPC4, C4-2/MDVR, PC-3, 22RV1, NCI-H660) and NCI-H660 neuroendocrine PCa xenograft model</td>
<td align="left" valign="top">Glutamine antagonism</td>
<td align="left" valign="top">Inhibits proliferation and growth of CRPCa</td>
<td align="left" valign="top">DRP-104 (monotherapy)</td>
<td align="center" valign="top">(<xref rid="b40-or-56-4-09186" ref-type="bibr">40</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Ono <italic>et al</italic>, 2015</td>
<td align="left" valign="top">ASCT2 transporter blockade</td>
<td align="left" valign="top">CRPCa-like cell lines (LNCaP-SF, LN-REC4) and androgen-dependent LNCaP</td>
<td align="left" valign="top">ASCT2 inhibition</td>
<td align="left" valign="top">Fluciclovine uptake is associatedwith ASCT2 expression; ASCT2 is a potential target and imaging biomarker</td>
<td align="left" valign="top">Imaging (theranostic)</td>
<td align="center" valign="top">(<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Ye <italic>et al</italic>, 2025</td>
<td align="left" valign="top">Urea cycle enzyme targeting; GLUD inhibition; ammonia scavengers</td>
<td align="left" valign="top">Review</td>
<td align="left" valign="top">Urea cycle dysregulation; GLUD; nitrogen recycling</td>
<td align="left" valign="top">Urea cycle dysregulation creates vulnerabilities; targeting nitrogen handling disrupts recycling and alleviates immunosuppression</td>
<td align="left" valign="top">Not specified</td>
<td align="center" valign="top">(<xref rid="b12-or-56-4-09186" ref-type="bibr">12</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Labroy <italic>et al</italic>, 2026</td>
<td align="left" valign="top">DHODH inhibitors</td>
<td align="left" valign="top">AR-positive and -negative PCa cells</td>
<td align="left" valign="top">Dihydroorotate dehydrogenase</td>
<td align="left" valign="top">Metabolic crosstalk between urea cycle and pyrimidine synthesis; DHODH is a metabolic vulnerability</td>
<td align="left" valign="top">Not specified</td>
<td align="center" valign="top">(<xref rid="b46-or-56-4-09186" ref-type="bibr">46</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Luo <italic>et al</italic>, 2024</td>
<td align="left" valign="top">Urea cycle enzyme targeting</td>
<td align="left" valign="top">Prostate cancer stem cells</td>
<td align="left" valign="top">Urea cycle enzymes (stemness maintenance)</td>
<td align="left" valign="top">Aberrant urea cycle activity supports stemness; nitrogen partitioning is dynamically regulated</td>
<td align="left" valign="top">Combination strategies required</td>
<td align="center" valign="top">(<xref rid="b45-or-56-4-09186" ref-type="bibr">45</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Sharma <italic>et al</italic>, 2020</td>
<td align="left" valign="top">Nivolumab &#x002B; ipilimumab</td>
<td align="left" valign="top">Patients with mCRPCa (CheckMate 650 trial)</td>
<td align="left" valign="top">PD-1 &#x002B; CTLA-4 blockade</td>
<td align="left" valign="top">Clinical activity in mCRPCa; response is associated with tumor mutational burden and immune infiltration</td>
<td align="left" valign="top">Combination immunotherapy</td>
<td align="center" valign="top">(<xref rid="b87-or-56-4-09186" ref-type="bibr">87</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Shenderov <italic>et al</italic>, 2021</td>
<td align="left" valign="top">Nivolumab &#x002B; ipilimumab &#x00B1; enzalutamide</td>
<td align="left" valign="top">Patients with AR-V7-expressing mCRPCa</td>
<td align="left" valign="top">PD-1 &#x002B; CTLA-4 blockade</td>
<td align="left" valign="top">Nivolumab &#x002B; ipilimumab modestly overcame enzalutamide enzalutamide resistance in a subset of patients with AR-V7-expressing mCRPCa</td>
<td align="left" valign="top">Enzalutamide</td>
<td align="center" valign="top">(<xref rid="b88-or-56-4-09186" ref-type="bibr">88</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Powles <italic>et al</italic>, 2022</td>
<td align="left" valign="top">Atezolizumab &#x002B; enzalutamide vs. enzalutamide alone</td>
<td align="left" valign="top">Patients with mCRPCa (randomized phase 3)</td>
<td align="left" valign="top">PD-L1 blockade</td>
<td align="left" valign="top">No improvement in unselected patients; biomarker-defined subgroups may benefit</td>
<td align="left" valign="top">Enzalutamide</td>
<td align="center" valign="top">(<xref rid="b89-or-56-4-09186" ref-type="bibr">89</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Hegde <italic>et al</italic>, 2021</td>
<td align="left" valign="top">Evofosfamide &#x002B; ipilimumab</td>
<td align="left" valign="top">Advanced solid malignancy (phase 1)</td>
<td align="left" valign="top">Hypoxia-activated prodrug &#x002B; CTLA-4 blockade</td>
<td align="left" valign="top">Proof-of-concept for combining microenvironment-targeted metabolic agents with immune checkpoint blockade</td>
<td align="left" valign="top">Ipilimumab</td>
<td align="center" valign="top">(<xref rid="b90-or-56-4-09186" ref-type="bibr">90</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Ono <italic>et al</italic>, 2015</td>
<td align="left" valign="top">[18F]Fluciclovine PET</td>
<td align="left" valign="top">CRPCa-like and androgen-dependent PCa cell lines</td>
<td align="left" valign="top">ASCT2 expression imaging</td>
<td align="left" valign="top">Fluciclovine uptake is associated with ASCT2 expression; validates amino acid PET for target engagement monitoring</td>
<td align="left" valign="top">Target engagement monitoring</td>
<td align="center" valign="top">(<xref rid="b21-or-56-4-09186" ref-type="bibr">21</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Lowentritt and Kipper, 2020</td>
<td align="left" valign="top">[18F]Fluciclovine PET/CT</td>
<td align="left" valign="top">Patients with biochemical recurrence of PCa</td>
<td align="left" valign="top">ASCT2 and LAT1 imaging</td>
<td align="left" valign="top">Clinical utility for detecting recurrent disease; guides management decisions</td>
<td align="left" valign="top">Imaging-guided therapy</td>
<td align="center" valign="top">(<xref rid="b91-or-56-4-09186" ref-type="bibr">91</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Smith <italic>et al</italic>, 2021</td>
<td align="left" valign="top">Plasma glutamine levels</td>
<td align="left" valign="top">Patients with localized PCa</td>
<td align="left" valign="top">Circulating glutamine</td>
<td align="left" valign="top">Plasma glutamine as prognostic biomarker; alterations are associated with disease outcome</td>
<td align="left" valign="top">Liquid biopsy</td>
<td align="center" valign="top">(<xref rid="b18-or-56-4-09186" ref-type="bibr">18</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-or-56-4-09186"><p>PCa, prostate cancer; mCRPCa, metastatic castration-resistant prostate cancer; TAM, tumor-associated macrophage; ASCT2, alanine-serine-cysteine transporter 2; LAT1, L-type amino acid transporter 1; GLUD, glutamate dehydrogenase; DHODH, dihydroorotate dehydrogenase; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; CTLA-4, cytotoxic T lymphocyte-associated protein 4; AR-V7, androgen receptor splice variant 7; PET, positron emission tomography; CT, computed tomography; Treg, regulatory T cell.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
