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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.2026.9047</article-id>
<article-id pub-id-type="publisher-id">OR-55-3-09047</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Role of tumor-infiltrating lymphocytes and miR-155 in breast cancer: Insights into carcinogenesis and their potential as prognostic biomarkers (Review)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Alvares-Vilela</surname><given-names>Miriam Monteiro</given-names></name>
<xref rid="af1-or-55-3-09047" ref-type="aff">1</xref>
<xref rid="af2-or-55-3-09047" ref-type="aff">2</xref>
<xref rid="af3-or-55-3-09047" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Schlemmer</surname><given-names>Franciele</given-names></name>
<xref rid="af1-or-55-3-09047" ref-type="aff">1</xref>
<xref rid="af2-or-55-3-09047" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Ferrari</surname><given-names>Sabrina Simpl&#x00ED;cio de Ara&#x00FA;jo Romero</given-names></name>
<xref rid="af1-or-55-3-09047" ref-type="aff">1</xref>
<xref rid="af2-or-55-3-09047" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Xavier</surname><given-names>Mary-Ann Elvina</given-names></name>
<xref rid="af1-or-55-3-09047" ref-type="aff">1</xref>
<xref rid="af2-or-55-3-09047" ref-type="aff">2</xref>
<xref rid="c1-or-55-3-09047" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Titze-de-Almeida</surname><given-names>Ricardo</given-names></name>
<xref rid="af1-or-55-3-09047" ref-type="aff">1</xref>
<xref rid="af2-or-55-3-09047" ref-type="aff">2</xref>
<xref rid="c1-or-55-3-09047" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-or-55-3-09047"><label>1</label>Technology for Gene Therapy Laboratory, Central Institute of Sciences, University of Brasi&#x0301;lia, Brasi&#x0301;lia 70910-900, Brazil</aff>
<aff id="af2-or-55-3-09047"><label>2</label>Research Center for Major Themes-Breast Cancer Unit, Central Institute of Sciences, University of Bras&#x00ED;lia, Bras&#x00ED;lia 70910-900, Brazil</aff>
<aff id="af3-or-55-3-09047"><label>3</label>Hospital de Base of The Federal District, Bras&#x00ED;lia 70330-150, Brazil</aff>
<author-notes>
<corresp id="c1-or-55-3-09047"><italic>Correspondence to</italic>: Professor Ricardo Titze-de-Almeida or Dr Mary-Ann Elvina Xavier, Research Center for Major Themes-Breast Cancer Unit, Central Institute of Sciences, University of Bras&#x00ED;lia, Campus Universit&#x00E1;rio Darcy Ribeiro, 605 North, Gleba A, Bras&#x00ED;lia 70910-900, Brazil, E-mail: <email>ricardotitze.unb@gmail.com</email>, E-mail: <email>maryhorsann@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="collection"><month>03</month><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>14</day><month>01</month><year>2026</year></pub-date>
<volume>55</volume>
<issue>3</issue>
<elocation-id>42</elocation-id>
<history>
<date date-type="received"><day>14</day><month>03</month><year>2025</year></date>
<date date-type="accepted"><day>09</day><month>05</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2026 Alvares-Vilela 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>Breast cancer is the most common cancer in the female population worldwide. The present review examines the biology of breast cancer, with a focus on the interplay between tumor-infiltrating lymphocytes (TILs) and microRNAs (miRNAs or miRs). TILs, which reflect the immune system activity in combating tumors, are associated with more favorable prognoses and positive response to therapies. Elevated levels of TILs characterize lymphocyte-predominant breast cancers (LPBCs), which are associated with higher therapeutic response rates in triple-negative breast cancer, a type of LPBC. Defining the threshold for LPBCs presents a challenge: TIL levels &#x2265;50&#x0025; are associated with short-term pathological complete response as well as long-term overall and disease-free survival; however, this percentage is not often achieved in clinical practice. Conversely, a lower threshold of 30&#x0025; lymphocyte infiltration can predict favorable prognosis for anticancer therapy and allows for the identification of a broader range of patients. The tumor inflammatory landscape is regulated by miRNAs, particularly miR-155. Elevated levels of miR-155 are associated with the presence of TILs and a favorable inflammatory profile, leading to a tumor-inflamed microenvironment. Moreover, miR-155 is associated with various antitumoral immune cells, including CD8<sup>&#x002B;</sup> T cells and M1 macrophages, but negatively associated with pro-tumoral regulatory T cells and M2 macrophages. Overexpression of miR-155 results in an increase in the levels of the C-X-C chemokine ligands, constituted by two conserved cysteines separated by a different amino acid which bind to the same chemokine receptor CXC chemokine receptor 3. These results in activation of T cells a process that involves the inhibition of suppressor of cytokine signaling 1 and an elevated ratio of phosphorylated STAT1/STAT3. Additionally, miR-155 affects key signaling pathways, including the PI3K/AKT and IL-6/STAT3 pathways, and increases sensitivity to immune checkpoint blockade therapy. In clinical samples from patients with BC, serum levels of miR-155 align with both tumor miR-155 levels and the immune status of the tumor. The present review emphasizes the importance of understanding the dynamics between TILs and miRNAs to identify new prognostic and predictive biomarkers, proposing a more integrated and personalized approach in the management of BC.</p>
</abstract>
<kwd-group>
<kwd>tumor-infiltrating lymphocyte</kwd>
<kwd>biomarker</kwd>
<kwd>microRNA-155</kwd>
<kwd>triple-negative breast cancer</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source>The Ministry of Education</funding-source>
<award-id>9249 TED/MEC</award-id>
</award-group>
<award-group>
<funding-source>National Council for Scientific and Technological Development, the Coordination for the Improvement of Higher Education Personnel, the Federal District Research Support Foundation</funding-source>
<award-id>00193-00001738/2022-51</award-id>
</award-group>
<award-group>
<funding-source>Foundation for Scientific and Technological Enterprises-Bras&#x00ED;lia</funding-source>
<award-id>01/2024</award-id>
</award-group>
<funding-statement>The present study was supported by The Ministry of Education (grant no. 9249 TED/MEC), the National Council for Scientific and Technological Development, the Coordination for the Improvement of Higher Education Personnel, the Federal District Research Support Foundation (00193-00001738/2022-51) and Foundation for Scientific and Technological Enterprises-Bras&#x00ED;lia (01/2024).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>It is estimated that one in four people will develop cancer at some point in their lives. Cancer is the first or second leading cause of premature death in many countries, with deaths occurring before the age of 70 years. In the female population, the incidence and mortality from breast cancer are increasing rapidly worldwide, with one in five women being diagnosed with breast cancer during their lifetime (<xref rid="b1-or-55-3-09047" ref-type="bibr">1</xref>). An estimated 43,170 deaths from breast cancer are expected worldwide in 2023 (<xref rid="b2-or-55-3-09047" ref-type="bibr">2</xref>).</p>
<p>Understanding tumor biology is essential to elucidate the reasons behind the high incidence of cancer worldwide, especially breast cancer. Detailed analysis of tumor pathophysiology allows us to identify the cellular and molecular processes that contribute to the development and progression of cancer (<xref rid="b3-or-55-3-09047" ref-type="bibr">3</xref>&#x2013;<xref rid="b5-or-55-3-09047" ref-type="bibr">5</xref>). Furthermore, this knowledge is crucial for identifying biological markers that may influence cancer progression, enabling the formulation of more effective diagnostic and therapeutic strategies (<xref rid="b6-or-55-3-09047" ref-type="bibr">6</xref>&#x2013;<xref rid="b9-or-55-3-09047" ref-type="bibr">9</xref>). microRNA (miRNA or miR), a post-transcriptional gene modulating non-coding small molecule, can target multiple genes, and is key to tumorigenic progression and immune response (<xref rid="b10-or-55-3-09047" ref-type="bibr">10</xref>&#x2013;<xref rid="b12-or-55-3-09047" ref-type="bibr">12</xref>).</p>
<p>In patients with breast cancer, altered miRNAs are linked to different tumor hallmark pathways including the presence of Tumor infiltrating lymphocytes (<xref rid="b13-or-55-3-09047" ref-type="bibr">13</xref>,<xref rid="b14-or-55-3-09047" ref-type="bibr">14</xref>). Among the different types of biomarkers the microRNAs are a strong candidate to be incorporated into the clinical workflow, due to their stability in the body fluids used for diagnostic analysis, making them attractive biological entities (<xref rid="b15-or-55-3-09047" ref-type="bibr">15</xref>,<xref rid="b16-or-55-3-09047" ref-type="bibr">16</xref>). Moreover, by investigating the miRNAs that trigger and sustain tumor growth, may facilitate development of targeted interventions that aim to improve clinical outcomes and increase patient survival (<xref rid="b17-or-55-3-09047" ref-type="bibr">17</xref>). miR-155 has been linked to tumor biology in breast cancer and immune response such as the presence or absence of TILs, demonstrating the strong interplay in tumour biology (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>&#x2013;<xref rid="b20-or-55-3-09047" ref-type="bibr">20</xref>).</p>
<p>In the present review, we appraised the current understanding of the miRNAs 155 and TILs in the breast cancer context, more specifically the Triple-Negative subtype. TNBC, presents, gene expression profiling with intrinsic subtypes of female breast cancer, which may correspond to distinct etiological pathways and hold significant therapeutic implications, and impact mortality risk (<xref rid="b21-or-55-3-09047" ref-type="bibr">21</xref>).</p>
</sec>
<sec>
<label>2.</label>
<title>BC biology and classification</title>
<sec>
<title/>
<sec>
<title>Tumor biology and pathological characteristics</title>
<p>The mammary parenchyma comprises ductal epithelium organized in a bilayer arrangement: The luminal epithelial layer comprises cuboidal or columnar cells and the basal layer contains contractile myoepithelial cells. The stromal component is composed of connective tissue, blood vessels and neural elements (<xref rid="b22-or-55-3-09047" ref-type="bibr">22</xref>). While tumors of non-epithelial origin, such as sarcomas or skin tumors, can arise in the breast, these cases are rare and not classified as BC despite their anatomical location (<xref rid="b23-or-55-3-09047" ref-type="bibr">23</xref>).</p>
<p>On macroscopic pathological examination, lesions manifest as firm, grayish white, gritty masses that randomly invade the surrounding tissue, resulting in an irregular formation, termed stellate configuration. Microscopically, the lesions demonstrate cords and nests of tumor cells with cytological features ranging from indolent to highly malignant. As the malignant cells infiltrate the mammary stroma and adipose tissue, they induce a fibrotic response, frequently producing a clinically palpable mass with radiological density and solid ultrasonographic characteristics typical of invasive carcinoma (<xref rid="b24-or-55-3-09047" ref-type="bibr">24</xref>,<xref rid="b25-or-55-3-09047" ref-type="bibr">25</xref>).</p>
<p>Invasive ductal carcinoma represents the most common type of BC, accounting for 40&#x2013;70&#x0025; of cases. Other histological subtypes include invasive lobular carcinoma (5&#x2013;15&#x0025;), apocrine carcinoma (4&#x0025;), mucinous carcinoma (2&#x0025;), tubular carcinoma (1.6&#x0025;), micropapillary carcinoma (0.9&#x2013;2.0&#x0025;), metaplastic carcinoma (0.2&#x2013;1.0&#x0025;) and cribriform carcinoma (0.4&#x0025;). Invasive ductal carcinoma is also referred to as invasive carcinoma of no special type or invasive carcinoma not otherwise specified (<xref rid="b4-or-55-3-09047" ref-type="bibr">4</xref>).</p>
<p>Certain invasive lobular carcinomas exhibit macroscopic features similar to those of invasive ductal carcinoma. Consequently, immunohistochemical analysis is necessary to evaluate the expression of E-cadherin protein, which mediates epithelial cell adhesion. This protein demonstrates positive expression in ductal tumors while being characteristically absent in lobular neoplasms (<xref rid="b26-or-55-3-09047" ref-type="bibr">26</xref>).</p>
<p>Invasive carcinomas are classified into three distinct grades based on a comprehensive evaluation of architectural and cytological features. This classification is performed using a standardized scoring system that reflects the degree of cell differentiation (<xref rid="f1-or-55-3-09047" ref-type="fig">Fig. 1</xref>) (<xref rid="b27-or-55-3-09047" ref-type="bibr">27</xref>). Histological analysis at the molecular level is key to grading invasive carcinoma.</p>
</sec>
<sec>
<title>Histopathological classification</title>
<p>The histological classification of BC is key for tumor characterization (<xref rid="tI-or-55-3-09047" ref-type="table">Table I</xref>). Moreover, molecular markers serve a pivotal role in guiding appropriate therapeutic strategies. The molecular classification system developed by Perou <italic>et al</italic> (<xref rid="b28-or-55-3-09047" ref-type="bibr">28</xref>) remains widely implemented in contemporary clinical practice.</p>
<p>The diverse spectrum of BC encompasses distinct molecular subtypes, exhibiting specific characteristics that guide therapeutic strategies. Consequently, all newly diagnosed BC must undergo immunohistochemistry (IHC) to identify the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). This molecular characterization provides essential information for both prognostic assessment and therapeutic decision-making (<xref rid="tII-or-55-3-09047" ref-type="table">Table II</xref>) (<xref rid="b29-or-55-3-09047" ref-type="bibr">29</xref>).</p>
<p>A tumor is considered positive for ER and PR when these receptors are present in &#x003E;1&#x0025; of tumor cells, representing &#x007E;80&#x0025; of BC cases (<xref rid="b30-or-55-3-09047" ref-type="bibr">30</xref>). HER2 upregulation occurs in 15&#x2013;20&#x0025; of patients and is characterized by intense membrane staining in &#x003E;10&#x0025; of invasive tumor cells (IHC 3&#x002B;) or by HER2 gene amplification, determined through fluorescence in situ hybridization (FISH), with a HER2/chromosome 17 centromeric probe ratio &#x2265;2.0 and &#x2265;4 HER2 copy signals/cell. Tumors that do not express any of these factors are classified as triple-negative (TN)BC, corresponding to 10&#x2013;15&#x0025; of cases (<xref rid="b31-or-55-3-09047" ref-type="bibr">31</xref>).</p>
</sec>
<sec>
<title>Hormone receptor-positive (HR<sup>&#x002B;</sup>) tumors</title>
<p>Tumors that test positive for the hormone receptors estrogen (ER) or progesterone (PR) are classified as hormone receptor-positive (HR&#x002B;) and are typically categorized as luminal subtypes, according to Perou <italic>et al</italic> (<xref rid="b28-or-55-3-09047" ref-type="bibr">28</xref>). The receptors are located in target cells and serve as ligand-dependent transcription factors. When estrogen or an estrogen analog bind ER in the cell nucleus, a conformational change occurs in the binding domain, enabling interactions with coactivators if the ligand is an agonist and blocking these interactions if it is an antagonist, thereby affecting the transcription rates of estrogen-responsive genes (<xref rid="b32-or-55-3-09047" ref-type="bibr">32</xref>).</p>
<p>The updated American Society of Clinical Oncology/College of American Pathologists guidelines established that cancers with ER-positive staining in 1&#x2013;10&#x0025; of cells should be classified as ER low positive (<xref rid="b33-or-55-3-09047" ref-type="bibr">33</xref>). Limited data currently supports endocrine therapy in this context, as these tumors typically exhibit behavioral patterns more closely resembling TN rather than luminal BC (<xref rid="b34-or-55-3-09047" ref-type="bibr">34</xref>).</p>
</sec>
<sec>
<title>Superexpressing HER2 tumors</title>
<p>The HER2 oncogene belongs to the epidermal growth factor receptor family. These receptors play a fundamental role in activating signal transduction pathways responsible for epithelial cell proliferation and differentiation, as well as angiogenesis (<xref rid="b35-or-55-3-09047" ref-type="bibr">35</xref>). High levels of HER2 expression indicate that patients may benefit from receptor-targeted therapies.</p>
<p>HER2 is primarily identified through western blotting, ELISA or IHC. In cases of indeterminate results, alternative techniques may be employed, including ISH, FISH, chromogenic or silver-enhanced ISH or PCR (<xref rid="b36-or-55-3-09047" ref-type="bibr">36</xref>). HER2 expression is classified as negative (IHC 0/1&#x002B;), indeterminate (IHC 2&#x002B;), or positive (IHC 3&#x002B;) based on staining intensity and tumor cell percentage, with indeterminate and positive results requiring confirmatory testing (<xref rid="b30-or-55-3-09047" ref-type="bibr">30</xref>).</p>
</sec>
<sec>
<title>TNBC</title>
<p>TNBC refers to BC that does not express ER and PR, or with IHC staining levels &#x003C;1&#x0025;. Additionally, the HER2 status is 0 or 1&#x002B;, with negative hybridization (FISH) for HER2<sup>&#x002B;</sup> expression (<xref rid="b37-or-55-3-09047" ref-type="bibr">37</xref>).</p>
<p>Triple-negative breast cancer (TNBC) is considered more aggressive than other breast cancer subtypes. It lacks specific targeted therapies, such as hormone therapy used for luminal tumors or anti-HER2 agents indicated for HER2 IHC 3&#x002B; cases. TNBC accounts for approximately 15&#x0025; of breast cancer diagnoses worldwide and is more frequently observed in female patients under the age of 40 years (<xref rid="b21-or-55-3-09047" ref-type="bibr">21</xref>).</p>
<p>TNBC is characterized by distinct risk factors supported by epidemiological evidence (<xref rid="b38-or-55-3-09047" ref-type="bibr">38</xref>). BRCA mutations, particularly in BRCA1, are found in up to 20&#x0025; of patients with TNBC, indicating a notable genetic predisposition. Also, African-American patients demonstrate higher susceptibility compared with Caucasian patients, as documented in population-based studies (<xref rid="b39-or-55-3-09047" ref-type="bibr">39</xref>,<xref rid="b40-or-55-3-09047" ref-type="bibr">40</xref>). Premenopausal status is also a relevant risk factor (<xref rid="b21-or-55-3-09047" ref-type="bibr">21</xref>). The absence of targeted therapies for TNBC has driven extensive research to identify predictive biomarkers for treatment response (<xref rid="b41-or-55-3-09047" ref-type="bibr">41</xref>&#x2013;<xref rid="b43-or-55-3-09047" ref-type="bibr">43</xref>). Investigations into immune system interactions with TNBC have yielded notable insights into treatment responsiveness (<xref rid="b44-or-55-3-09047" ref-type="bibr">44</xref>&#x2013;<xref rid="b46-or-55-3-09047" ref-type="bibr">46</xref>).</p>
</sec>
</sec>
</sec>
<sec>
<label>3.</label>
<title>Tumor-infiltrating lymphocytes (TILs) in BC</title>
<sec>
<title/>
<sec>
<title>Role of TILs in tumor progression and clinical value</title>
<p>Tumor biological behavior is influenced by its intrinsic characteristics and the tumor microenvironment, which interacts with the cancerous cells. This environment is formed by various structures and substances, such as vessels, fibroblasts, myofibroblasts and inflammatory cells (<xref rid="b47-or-55-3-09047" ref-type="bibr">47</xref>).</p>
<p>Genetic alterations leading to malignancy are common in somatic cells, and the immune system serves a crucial role in the elimination or inactivation of abnormal cells. Studies in mice have demonstrated an increased incidence of malignant neoplasms in immunodeficient individuals, highlighting the importance of immunity in cancer prevention (<xref rid="b48-or-55-3-09047" ref-type="bibr">48</xref>&#x2013;<xref rid="b50-or-55-3-09047" ref-type="bibr">50</xref>).</p>
</sec>
<sec>
<title>TIL-mediated immunoediting: Elimination and escape mechanism</title>
<p>TILs are used for tumor classification in the clinical setting. These lymphocytes dynamically engage with other immune system and cancer cells, termed cancer immunoediting cell neoplasia, serving roles that can be either favorable or detrimental to the tumor (<xref rid="b51-or-55-3-09047" ref-type="bibr">51</xref>). This process comprises three phases: Elimination, equilibrium and escape (<xref rid="b52-or-55-3-09047" ref-type="bibr">52</xref>). The elimination phase occurs when tumor antigens are presented to CD8<sup>&#x002B;</sup> cytotoxic lymphocytes by cells, in combination with human leukocyte antigen molecules for recognition by the T cell receptor (<xref rid="b53-or-55-3-09047" ref-type="bibr">53</xref>). Most TILs in cancer are of T cell phenotype, including CD4<sup>&#x002B;</sup> lymphocytes (helper cells) and CD8<sup>&#x002B;</sup> (cytotoxic cells). CD4<sup>&#x002B;</sup> T lymphocytes are essential for priming tumor-specific CD8<sup>&#x002B;</sup> TILs, in addition to supporting their expansion and memory (<xref rid="b54-or-55-3-09047" ref-type="bibr">54</xref>). Tumor elimination also involves the action of natural killer (NK) cells and macrophages in antigen identification. NK cells target tumor cells that have managed to escape from cytotoxic lymphocyte control (<xref rid="b55-or-55-3-09047" ref-type="bibr">55</xref>).</p>
<p>During the equilibrium phase, the FOXP3 protein plays a critical role in the generation of CD4<sup>&#x002B;</sup> regulatory T cells (Tregs), which promote immunosuppression, resulting in immunological tolerance for CD8<sup>&#x002B;</sup> cells. Excessive FOXP3 expression is associated with Treg proliferation and severe immunodeficiency, while its absence leads to immune system activation. FOXP3 is also involved in immune escape mechanisms, with impacts on low survival in breast cancer, as it acts by decreasing the immune response in the tumor (<xref rid="b56-or-55-3-09047" ref-type="bibr">56</xref>). In the equilibrium phase, the tumor microenvironment presents a high proportion of cytotoxic cells and a low proportion of Tregs due to decreased FOXP3 protein, allowing progression to the next phase (<xref rid="b57-or-55-3-09047" ref-type="bibr">57</xref>).</p>
<p>The third stage of the process is immune system evasion, which can occur through decreased immunological recognition due to antigen loss in neoplastic cells, increased cell resistance or survival, reducing apoptosis through STAT3 or BCL-2 activation and development of an immunosuppressive microenvironment. The latter involves the expression of cytokines (VEGF, IL-10, TGF-&#x03B2;) and immunoregulatory molecules, including the B7 family and CD3 expression (<xref rid="b52-or-55-3-09047" ref-type="bibr">52</xref>). The B7 family comprise the programmed cell death protein 1 (PD-1), also known as CD279, programmed death-ligand 1 (PD-L1), cytotoxic T-Lymphocyte associated protein 4 CTLA-4, V-domain Ig suppressor of T cell Activation (VISTA), B7 homolog 4 and B and T Lymphocyte Attenuator (BTLA).</p>
</sec>
<sec>
<title>Prospective use of TILs in precision oncology</title>
<p>Characterization of immune evasion mechanisms expands prognostic and therapeutic frameworks in oncology. PD-1/PD-L1 checkpoint inhibition has demonstrated substantial efficacy across multiple malignancies, like cutaneous squamous cell carcinoma, with notable response rates in TNBC (<xref rid="b58-or-55-3-09047" ref-type="bibr">58</xref>). This approach exemplifies successful translation of immunobiological mechanisms into effective clinical intervention (<xref rid="b59-or-55-3-09047" ref-type="bibr">59</xref>). Similarly, CTLA-4 blockade improves survival outcomes in patients with melanoma (<xref rid="b60-or-55-3-09047" ref-type="bibr">60</xref>). Recent investigations have identified microRNA (miRNA or miR)-155 as a key immunomodulatory factor influencing effector T cell function and potentially predicting therapeutic response (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>,<xref rid="b61-or-55-3-09047" ref-type="bibr">61</xref>&#x2013;<xref rid="b63-or-55-3-09047" ref-type="bibr">63</xref>). Integration of multidimensional biomarkers, including PD-L1 expression, tumor mutational burden, microsatellite instability, miR-155 profile and TIL quantification, provides essential stratification parameters, enabling precision in patient selection and treatment optimization protocols (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>).</p>
<p>T cell activation requires interaction between complementary costimulatory molecules (B7 on antigen-presenting cells and CD28 on T cells), providing essential secondary signaling. Optimal T cell activation depends on the synchronous delivery of both antigenic peptide recognition and costimulatory signaling (<xref rid="b64-or-55-3-09047" ref-type="bibr">64</xref>). In the absence of co-stimulation, antigenic peptide presentation fails to induce complete T cell activation, instead promoting immunological tolerance (<xref rid="b65-or-55-3-09047" ref-type="bibr">65</xref>). The degree of T cell activation is determined by the balance between co-stimulation and co-suppression. Clinical trials have demonstrated that PD-1 pathway blockade with anti-PD-1 or anti-PD-L1 therapy enhances T cell-mediated anticancer responses without causing serious adverse events (<xref rid="b66-or-55-3-09047" ref-type="bibr">66</xref>,<xref rid="b67-or-55-3-09047" ref-type="bibr">67</xref>).</p>
<p>Beyond intrinsic T cell regulation, their activation is influenced by extrinsic factors. Cytokines such as IL-2, released by CD4<sup>&#x002B;</sup> T helper (Th) cells (Th1 and Th17), serve a direct role in promoting the expansion of cancer-specific T cells (<xref rid="b68-or-55-3-09047" ref-type="bibr">68</xref>). However, these regulatory cells inhibit specific T cell function, inducing immunosuppression and decreasing immunotherapy efficacy (<xref rid="b69-or-55-3-09047" ref-type="bibr">69</xref>).</p>
<p>TILs Working Group consider breast carcinomas rich in inflammatory infiltrates when they exhibit &#x003E;50&#x0025; lymphocytic presence in the tumor stroma (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>). A previous study showed that, in this context, TNBC is associated with improved progression-free survival (PFS) and overall survival (OS) (<xref rid="b42-or-55-3-09047" ref-type="bibr">42</xref>). A meta-analysis including &#x003E;22,000 patients demonstrated the presence of CD8<sup>&#x002B;</sup> lymphocytes is associated with favorable prognosis, while FOXP3 expression is associated with lower OS and PFS rates (<xref rid="b71-or-55-3-09047" ref-type="bibr">71</xref>).</p>
<p>In tumors treated with neoadjuvant chemotherapy, high TIL levels favor the achievement of pathological complete response (pCR) (<xref rid="b72-or-55-3-09047" ref-type="bibr">72</xref>,<xref rid="b73-or-55-3-09047" ref-type="bibr">73</xref>). A study involving 3,771 patients with different molecular subtypes of BC undergoing neoadjuvant chemotherapy classified TIL expression into three categories (<xref rid="b74-or-55-3-09047" ref-type="bibr">74</xref>): Low (0&#x2013;10&#x0025;), intermediate (11&#x2013;59&#x0025;) and high (60&#x2013;100&#x0025;). In patients with luminal cancer, pCR occurred in 45 (6&#x0025;) of 759 patients with low TILs, 48 (11&#x0025;) of 435 with intermediate TILs and 49 (28&#x0025;) of 172 with high TILs. In HER2-positive subtype, pCR was observed in 194 (32&#x0025;) of 605 patients with low TILs, 198 (39&#x0025;) of 512 with intermediate TILs and 127 (48&#x0025;) of 262 with high TIL levels. In patients with TNBC, pCR was achieved in 80 (31&#x0025;) of 260 patients with low, 117 (31&#x0025;) of 373 with intermediate and 136 (50&#x0025;) of 273 with high TIL levels. In univariate analysis, a 10&#x0025; increase in TILs demonstrated a hazard ratio of 0.93 for disease-free survival (DFS) and 0.92 for OS in TNBC, showing negative results in other tumor subtypes (<xref rid="b74-or-55-3-09047" ref-type="bibr">74</xref>).</p>
<p>A study of 1,966 patients with TNBC revealed a 94&#x0025; recurrence-free survival (RFS) and 95&#x0025; OS rate in stage I patients with TIL levels &#x2265;50&#x0025; with TNBC (<xref rid="b75-or-55-3-09047" ref-type="bibr">75</xref>). In patients with TIL levels &#x003C;30&#x0025;, RFS and OS rates were 78 and 82&#x0025;, respectively, in patients who did not undergo neoadjuvant therapy. These results confirm TIL abundance in tissue as a notable prognostic factor for patients with TNBC (<xref rid="b75-or-55-3-09047" ref-type="bibr">75</xref>).</p>
<p>The clinical evidence regarding the prognostic and predictive value of TILs in BC, particularly in TNBC, affirms their potential use as a clinically actionable biomarker (<xref rid="b76-or-55-3-09047" ref-type="bibr">76</xref>). However, the implementation of TILs assessment in routine clinical practice necessitates standardized methodological approaches and clearly defined threshold values for optimal patient stratification. Given the continuous nature of TIL measurements and their varying importance across molecular subtypes, establishing clinically relevant cut-off values is a key step toward integrating this immunological parameter into treatment decision protocols.</p>
</sec>
</sec>
</sec>
<sec>
<label>4.</label>
<title>Clinically relevant cut-off values for TILs in pre-neoadjuvant biopsy samples</title>
<sec>
<title/>
<sec>
<title>Proportion of TILs in BC</title>
<p>Numerous critical aspects must be considered when analyzing TILs. First, the pathologist-reported value refers to the percentage of TILs. The proportion of TILs represents the area of tumor stroma infiltrated total lymphocytes relative to the total area of stroma examined by the pathologist and should be measured using the hematoxylin-eosin method (<xref rid="f2-or-55-3-09047" ref-type="fig">Fig. 2</xref>). Adherence to recommendations by the TILs Working Group is essential for accuracy and reproducibility (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>,<xref rid="b77-or-55-3-09047" ref-type="bibr">77</xref>).</p>
<p>Higher levels of lymphocytic infiltration serve as predictors of pCR (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>). However, a formal recommendation of a clinically relevant cut-off value categorizing breast tumors as having high lymphocytic infiltration is lacking, complicating the establishment of a universal standard for this variable as a therapeutic response biomarker. Meta-analyses reveal cut-off values ranging from 10 to 60&#x0025; (<xref rid="b79-or-55-3-09047" ref-type="bibr">79</xref>,<xref rid="b80-or-55-3-09047" ref-type="bibr">80</xref>).</p>
<p>The relevance of high TILs as biomarkers of good therapeutic response has more clinical value for TN tumors compared with other BC subtypes (<xref rid="b81-or-55-3-09047" ref-type="bibr">81</xref>). Ochi <italic>et al</italic> (<xref rid="b82-or-55-3-09047" ref-type="bibr">82</xref>) categorized tumors into three groups: Low TILs (0&#x2013;9&#x0025;), intermediate (10&#x2013;49&#x0025;) and high TILs (&#x2265;50&#x0025;), the latter being known as lymphocyte-predominant (LP)BC. The pCR rates in TN tumors with low TILs are 4&#x0025;, compared with 43.6&#x0025; in those with intermediate or high TILs. In HER2-positive tumors, pCR rates are 26 vs. 51.9&#x0025;, respectively, and significant in both cases (<xref rid="b82-or-55-3-09047" ref-type="bibr">82</xref>). Loi <italic>et al</italic> (<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>) observed higher TILs in TNBC (n=134) and HER2<sup>&#x002B;</sup> (n=209) compared with luminal BC subtypes (n=591) (<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>). The second quartile median of TILs expression was 25.0, 15.0 and 7.5&#x0025; for these tumor types, respectively. Despite substantial variability in infiltration percentages for TNBC, HER2<sup>&#x002B;</sup> and luminal groups, the upper quartile showed 40.0, 30.0 and 12.5&#x0025; infiltration, respectively. This aligns with findings of Stanton <italic>et al</italic> (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b84-or-55-3-09047" ref-type="bibr">84</xref>), which demonstrated TNBC and HER2<sup>&#x002B;</sup> as most frequent subtype of LPBC (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b84-or-55-3-09047" ref-type="bibr">84</xref>) Denkert <italic>et al</italic> (<xref rid="b74-or-55-3-09047" ref-type="bibr">74</xref>) reinforced these findings, reporting high TIL percentages (&#x003E;60&#x0025;) in 30&#x0025; of TNBC tumors, 19&#x0025; in HER2<sup>&#x002B;</sup> and 13&#x0025; in luminal-HER2-negative tumors (<xref rid="b74-or-55-3-09047" ref-type="bibr">74</xref>). Loi <italic>et al</italic> (<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>) identified TILs (LPBC with a cut-off &#x2265;50&#x0025;) as predictors of good prognosis for distant disease-free survival in TNBC but not in HER2<sup>&#x002B;</sup> or luminal BC (<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>). Additionally, Russo <italic>et al</italic> (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>) supported these findings by using TILs &#x2265;30&#x0025; for LPBC classification, a cut-off derived from Liu <italic>et al</italic> (<xref rid="b86-or-55-3-09047" ref-type="bibr">86</xref>). In an analysis of 41 TNBC samples, Russo <italic>et al</italic> (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>) found that 34&#x0025; had TILs &#x003E;30&#x0025;, with a pCR rate of 78.6&#x0025; (11/14) compared with 14.8&#x0025; (4/27) in those with TILs &#x003C;30&#x0025;. Furthermore, a significant pCR rate of 71.4&#x0025; was noted in HER2<sup>&#x002B;</sup> individuals with TILs &#x003E;30&#x0025;.</p>
</sec>
<sec>
<title>Thresholds for LPBCs: Issues and sensitivity limitations</title>
<p>A fundamental aspect of using TILs for prognosis is determining the appropriate percentage of lymphocytic infiltration that characterizes LPBCs. A widely accepted cut-off value is 50&#x0025; for high lymphocytic infiltration, as recommended by the TILs Working Group (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>). Establishing this threshold is key for accurately identifying LPBCs, which can impact treatment decisions and prognostic evaluation.</p>
<p>Salgado <italic>et al</italic> (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>) proposed LPBC classification for tumors with &#x2018;more lymphocytes than tumor cells&#x2019;, meaning they exhibit 50&#x2013;60&#x0025; lymphocytic infiltration (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>). Denkert <italic>et al</italic> (<xref rid="b87-or-55-3-09047" ref-type="bibr">87</xref>) reported that 40&#x0025; of patients with LPBC (&#x003E;50&#x0025; TILs) achieved pCR, compared with 7&#x0025; of patients without lymphocytic infiltration (<xref rid="b87-or-55-3-09047" ref-type="bibr">87</xref>). Cut-off values of 50 or 60&#x0025; predict both short-term pCR responses and long-term OS and DFS (<xref rid="tIII-or-55-3-09047" ref-type="table">Table III</xref>) (<xref rid="b82-or-55-3-09047" ref-type="bibr">82</xref>,<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>,<xref rid="b88-or-55-3-09047" ref-type="bibr">88</xref>&#x2013;<xref rid="b91-or-55-3-09047" ref-type="bibr">91</xref>) .</p>
<p>Using a &#x003E;50&#x0025; TIL cut-off as a significant infiltration marker has limitations regarding sensitivity, as relatively few breast tumors reach this cut-off. Stanton <italic>et al</italic> (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b84-or-55-3-09047" ref-type="bibr">84</xref>) found that &#x007E;20&#x0025; of TN and HER2<sup>&#x002B;</sup> tumors exhibit LPBC with &#x003E;50&#x0025; TILs (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b84-or-55-3-09047" ref-type="bibr">84</xref>). Denkert <italic>et al</italic> (<xref rid="b47-or-55-3-09047" ref-type="bibr">47</xref>) assessed 3,771 samples, reporting pCR in 50&#x0025; of high-TIL TNBC tumors and 48&#x0025; of high-TIL HER2<sup>&#x002B;</sup> tumors (&#x003E;60&#x0025; TILs) (<xref rid="b74-or-55-3-09047" ref-type="bibr">74</xref>). pCR rates for TNBC and HER2<sup>&#x002B;</sup> with intermediate infiltration (11&#x2013;59&#x0025;) were 31 and 39&#x0025;, respectively. Hence, a cut-off between 11 (low infiltration) and 50&#x0025; (high infiltration) could enhance sensitivity for identifying individuals with favorable prognosis without compromising the discriminative accuracy.</p>
</sec>
<sec>
<title>Comparison of accuracy and sensitivity in LPBCs using lymphocyte infiltration thresholds between 30 and 50&#x0025;</title>
<p>Studies have used cut-offs between 30 and 50&#x0025; for defining LPBC (<xref rid="tIII-or-55-3-09047" ref-type="table">Table III</xref>). An analysis from Belgium employed a 40&#x0025; cut-off (<xref rid="b92-or-55-3-09047" ref-type="bibr">92</xref>), while other studies in Venezuela, Belgium and Italy used a 30&#x0025; cut-off (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>,<xref rid="b93-or-55-3-09047" ref-type="bibr">93</xref>,<xref rid="b94-or-55-3-09047" ref-type="bibr">94</xref>). The prognostic significance of TILs in early-stage TNBC was demonstrated by two pivotal multicenter studies (<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>) (<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>). Firstly, a retrospective individual patient data (IPD) meta-analysis was conducted using data from 2,148 early-stage TNBC patients across 9 international studies from Australia, Europe (France, Italy, Finland, Belgium, Germany), and the United States. The analysis demonstrated that a stromal TIL cut-off of &#x2265;30&#x0025; was associated with significantly better prognosis in early-stage TNBC patients (<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>). The second study was a retrospective pooled analysis of 476 early-stage TNBC patients from 4 centers who did not receive adjuvant chemotherapy, showing that Stage I patients with sTILs &#x2265;30&#x0025; had excellent 5-year survival (91&#x2013;98&#x0025;) without any systemic treatment (<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>). The former study evaluated invasive (i)DFS (primary endpoint), distant (D-)DFS and OS, treating TILs as a continuous variable. Treatments included either an anthracycline or a combination of anthracycline and taxane. Patients with node-negative TILs &#x2265;30&#x0025; showed three-year iDFS of 92&#x0025; (95&#x0025; CI, 89&#x2013;98&#x0025;), D-DFS of 97&#x0025; (95&#x0025; CI, 95&#x2013;99&#x0025;) and OS of 99&#x0025; (95&#x0025; CI, 97&#x2013;100&#x0025;; <xref rid="f3-or-55-3-09047" ref-type="fig">Fig. 3</xref>). The aforementioned study recommend integrating TILs into clinical-pathological diagnostic models (<xref rid="b97-or-55-3-09047" ref-type="bibr">97</xref>). In 2,148 individuals, TIL exhibited an interquartile range from 10 to 30&#x0025;, with a median of 15&#x0025;. Notably, about one-third of patients showed &#x2265;30&#x0025; TILs, broadening the pool of individuals benefiting from the biomarker compared with studies using 50&#x0025; TILs, which was present in one-fifth of patients (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b84-or-55-3-09047" ref-type="bibr">84</xref>). The 30&#x0025; cut-off aligns with Q3 indicating 30&#x0025; lymphocytic infiltration as the threshold parameter (<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>).</p>
<p>Park <italic>et al</italic> (<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>) investigated whether TILs &#x2265;30&#x0025; identify those who might not require adjuvant chemotherapy (<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>). Patients with stage I TNBC (n=74) presented a 5-year iDFS of 91&#x0025; (95&#x0025; CI 84&#x2013;96&#x0025;), D-DFS of 97&#x0025; (95&#x0025; CI 93&#x2013;100&#x0025;) and OS of 98&#x0025; (95&#x0025; CI 95&#x2013;100&#x0025;; <xref rid="f4-or-55-3-09047" ref-type="fig">Fig. 4</xref>). The aforementioned study used the Q3-based cut-off of 30&#x0025;, consistent with Loi <italic>et al</italic> (<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>). Compared with the aforementioned study, the median was lower (10 vs. 15&#x0025;), while the third quartile remained at 30&#x0025;, confirming its consistency. Stromal TILs &#x2265;30&#x0025; could signify a subgroup of patients with stage I TNBC with excellent prognosis without adjuvant therapy. This suggests vulnerable groups, such as the elderly or those with comorbidities, may be spared from the toxicity and costs of adjuvant chemotherapy without jeopardizing survival rates. Moreover, TIL evaluation at 30&#x0025; may yield good reproducibility among pathologists, as at this level, visual differences are easier to be detected. Nonetheless, the use of biomarkers necessitates caution concerning established clinical diagnostic criteria, such as tumor size and lymph node status, to refine pathological analysis and therapeutic insights for each clinical case (<xref rid="b98-or-55-3-09047" ref-type="bibr">98</xref>).</p>
<p>Russo <italic>et al</italic> (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>), Floris <italic>et al</italic> (<xref rid="b93-or-55-3-09047" ref-type="bibr">93</xref>) and Dieci <italic>et al</italic> (<xref rid="b94-or-55-3-09047" ref-type="bibr">94</xref>) demonstrated good discriminative capacity with a TIL cut-off of 30&#x0025; (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>,<xref rid="b93-or-55-3-09047" ref-type="bibr">93</xref>,<xref rid="b94-or-55-3-09047" ref-type="bibr">94</xref>). Russo <italic>et al</italic> (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>) reported a five-fold greater incidence of pCR for patients with TILs &#x2265;30&#x0025; compared with those with TILs &#x003C;30&#x0025; (58.5 vs. 11.0&#x0025;) (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>).</p>
<p>TIL thresholds of 30 or 50&#x0025; not only serve as promising biomarkers for guiding chemotherapy de-escalation in early-stage TNBC, but also inform therapeutic decisions regarding immune checkpoint inhibitors. Measuring TIL and PD-L1 expression aids in identifying immune-enriched tumors, thereby enhancing selection of patients with advanced TNBC or HER2<sup>&#x002B;</sup> BC who are likely to respond to PD-1/PD-L1 inhibitors (<xref rid="b99-or-55-3-09047" ref-type="bibr">99</xref>).</p>
</sec>
<sec>
<title>Comparative analyses between 30 and 50&#x0025; thresholds for LPBCs</title>
<p>The recommendation to adopt 30 or 50&#x0025; as clinical cut-off values for LPBCs is based on their predictive value for pCR and favorable prognostic outcomes in BC. TILs &#x2265;50&#x0025; are associated with both short-term pCR responses and long-term OS as well as DFS (<xref rid="b82-or-55-3-09047" ref-type="bibr">82</xref>,<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>,<xref rid="b88-or-55-3-09047" ref-type="bibr">88</xref>&#x2013;<xref rid="b91-or-55-3-09047" ref-type="bibr">91</xref>). This threshold was initially proposed by the TILs Working Group (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>).</p>
<p>Further studies have indicated that cut-off values &#x003C;50&#x0025; can also predict favorable prognosis, with the majority using 30&#x0025; as the cut-off value (<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>,<xref rid="b93-or-55-3-09047" ref-type="bibr">93</xref>,<xref rid="b94-or-55-3-09047" ref-type="bibr">94</xref>). Specifically, two studies employed TILs &#x2265;30&#x0025;: The first identified patients who would benefit from adjuvant therapy, while the second identified individuals with a favorable prognosis who may not require adjuvant chemotherapy (<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>,<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>).</p>
<p>In conclusion, both cut-off values for LPBCs are effective in identifying patients who are likely to benefit from therapeutic intervention. The 30&#x0025; threshold is particularly inclusive, enabling the identification of a broader patient population compared with the stricter 50&#x0025;, which is less frequently achieved in clinical practice (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b84-or-55-3-09047" ref-type="bibr">84</xref>).</p>
</sec>
</sec>
</sec>
<sec>
<label>4.</label>
<title>miR-155 and TIL activity</title>
<p>The prognostic value of TILs in TNBC is mediated through complex molecular regulatory networks. Post-transcriptional gene regulation via miRNAs is a critical mechanism in the modulation of the tumor inflammatory landscape, with miR-155 emerging as a key mediator. miRNAs are a class of small, non-coding, single-stranded RNAs, typically 18&#x2013;25 nucleotides in length, that play a crucial role in the post-transcriptional regulation of gene expression. By directly binding to the 3&#x2032; untranslated regions (UTRs) of target messenger RNAs (mRNAs), miRNAs promote mRNA degradation or inhibit translation (<xref rid="b100-or-55-3-09047" ref-type="bibr">100</xref>,<xref rid="b101-or-55-3-09047" ref-type="bibr">101</xref>). This control of protein synthesis allows miRNAs to function as modulators of gene expression rather than as complete silencers (<xref rid="b100-or-55-3-09047" ref-type="bibr">100</xref>,<xref rid="b101-or-55-3-09047" ref-type="bibr">101</xref>).</p>
<sec>
<title/>
<sec>
<title>Biogenesis and function</title>
<p>In animals, miRNAs are transcribed by RNA polymerase II (Pol II) as primary transcripts known as primary miRNAs (pri-miRNAs), which adopt a characteristic hairpin structure (<xref rid="f5-or-55-3-09047" ref-type="fig">Fig. 5</xref>). These pri-miRNAs are processed in the nucleus by the enzymes Drosha and DiGeorge syndrome critical region 8 DGCR8 (DGCR8) is a protein that serves a crucial role in the maturation of microRNAs to generate precursor miRNAs (pre-miRNAs), which are transported to the cytoplasm by the protein exportin-5. In the cytoplasm, a second processing step is performed by the enzyme Dicer, in association with the double-stranded RNA-binding proteins trans-activation response RNA-binding protein. It&#x0027;s a cellular protein that primarily binds to the trans-activation response RNA-binding protein (TRBP) or protein activator of PKR (Protein Kinase R), that are double-stranded RNA-binding proteins resulting in a miRNA duplex 18&#x2013;25 nucleotides in length. Subsequently, the passenger (sense) strand is degraded, while the guide (antisense) strand, representing the mature miRNA, is incorporated into the RNA-induced silencing complex (RISC). Within RISC, argonaute proteins serve a central role in directing the complex to target mRNAs containing partially complementary sequences within their 3&#x2032; UTRs. This interaction leads to gene silencing through either translational suppression or mRNA destabilization (<xref rid="b102-or-55-3-09047" ref-type="bibr">102</xref>&#x2013;<xref rid="b105-or-55-3-09047" ref-type="bibr">105</xref>).</p>
<p>Evolutionarily conserved across a range of organisms, miRNAs comprise &#x007E;1&#x0025; of the human genome. Despite their small size, these regulatory RNAs exert post-transcriptional control over more than one-third of all protein-coding genes, underscoring their key role in numerous cellular processes and disease pathogenesis (<xref rid="b106-or-55-3-09047" ref-type="bibr">106</xref>,<xref rid="b107-or-55-3-09047" ref-type="bibr">107</xref>) . miRNA dysregulation is implicated in various pathological conditions, most notably cancer, where altered expression patterns contribute to tumor initiation, progression, and metastasis (<xref rid="b20-or-55-3-09047" ref-type="bibr">20</xref>,<xref rid="b105-or-55-3-09047" ref-type="bibr">105</xref>,<xref rid="b108-or-55-3-09047" ref-type="bibr">108</xref>). Therefore, understanding the role of miRNAs in oncogenesis is key for the development of novel diagnostic and therapeutic strategies (<xref rid="b20-or-55-3-09047" ref-type="bibr">20</xref>,<xref rid="b105-or-55-3-09047" ref-type="bibr">105</xref>,<xref rid="b108-or-55-3-09047" ref-type="bibr">108</xref>)</p>
<p>The first miRNA sequence database, established in 2002, contained 506 entries across six organisms (<xref rid="b109-or-55-3-09047" ref-type="bibr">109</xref>,<xref rid="b110-or-55-3-09047" ref-type="bibr">110</xref>). By 2010, the number of annotated human miRNAs had grown to 1,424 (<xref rid="b111-or-55-3-09047" ref-type="bibr">111</xref>). However, miRNAs may be reclassified over time due to initial misannotations, often stemming from high sequence similarity between precursor miRNAs and minor sequence variants (<xref rid="b112-or-55-3-09047" ref-type="bibr">112</xref>).</p>
</sec>
<sec>
<title>miRNAs in BC</title>
<p>The search for predictive biomarkers to improve early cancer diagnosis and therapeutic outcomes increasingly emphasizes the analysis of molecular signatures in normal tissue prior to the clinical manifestation of disease (<xref rid="b112-or-55-3-09047" ref-type="bibr">112</xref>&#x2013;<xref rid="b114-or-55-3-09047" ref-type="bibr">114</xref>). In BC, miRNAs have been consistently identified as dysregulated in both tissue and serum/plasma samples (<xref rid="b115-or-55-3-09047" ref-type="bibr">115</xref>&#x2013;<xref rid="b117-or-55-3-09047" ref-type="bibr">117</xref>). These alterations contribute to early disease development and progression by modulating the post-transcriptional expression of proto-oncogenes and tumor suppressor genes. Such findings underscore the potential of miRNAs as valuable biomarkers for early detection and targeted intervention in BC (<xref rid="b118-or-55-3-09047" ref-type="bibr">118</xref>,<xref rid="b119-or-55-3-09047" ref-type="bibr">119</xref>).</p>
<p>The prognostic value of miRNAs in BC connects directly to critical genomic alterations. Genomic instability, a key hallmark of malignancy, affects and is influenced by miRNA expression patterns. This enables tumor cells to acquire multiple growth advantages such as autonomous growth signaling, resistance to inhibitory stimuli, apoptosis evasion, sustained angiogenesis and enhanced metastatic capacity (<xref rid="b120-or-55-3-09047" ref-type="bibr">120</xref>). This instability also affects miRNA expression, disrupting key regulatory pathways involved in tumor initiation and progression. miRNAs have emerged as key regulators in the interplay between cancer cells and the immune microenvironment (<xref rid="b121-or-55-3-09047" ref-type="bibr">121</xref>). Moreover, miRNAs promote genomic instability by influencing DNA double-strand break repair, mismatch repair mechanisms and DNA methylation patterns (<xref rid="b100-or-55-3-09047" ref-type="bibr">100</xref>)</p>
<p>miRNAs are key regulators of the interplay between cancer cells and the immune system, functioning as either oncogenes or tumor suppressors depending on the cellular context. They influence key biological processes including tumorigenesis, cell proliferation, apoptosis and metastasis. Notably, miR-21 and miR-155 are frequently upregulated across numerous types of cancer, like lung cancer or prostate and hematologic tumor, highlighting their prominent roles in tumor initiation and progression (<xref rid="b122-or-55-3-09047" ref-type="bibr">122</xref>).</p>
<p>miRNAs exhibit context-dependent functions. For example, miR-10b, miR-103/107 and miR-30d have been characterized as oncogenic, whereas miR-31, miR-29 and members of the miR-200 family act as tumor suppressors (<xref rid="b123-or-55-3-09047" ref-type="bibr">123</xref>). Additionally, miR-7 is a negative regulator of epidermal growth factor receptor expression in BC cells, further illustrating the diverse mechanisms by which miRNAs modulate oncogenic signaling pathways (<xref rid="b124-or-55-3-09047" ref-type="bibr">124</xref>).</p>
<p>In BC, miRNAs serve influential roles across all molecular subtypes, with specific subsets contributing to key regulatory pathways. For example, miR-21, miR-18a/b, miR-193, miR-302, miR-92, let-7, miR-22, miR-221/222, miR-449a/b and the miR-17-92 cluster modulate ER signaling, a pathway central to HR-positive BC. Furthermore, HER2 protein, a major oncogenic driver in HER2<sup>&#x002B;</sup> BC, is regulated by miR-125a/b, highlighting the diverse roles of miRNAs in shaping the molecular landscape of BC (<xref rid="b125-or-55-3-09047" ref-type="bibr">125</xref>).</p>
<p>Beyond their regulatory functions, miRNAs serve as promising diagnostic and prognostic biomarkers in BC research (<xref rid="b116-or-55-3-09047" ref-type="bibr">116</xref>). Their dysregulation in tumor development and progression supports their potential use in detection, diagnosis, subtype classification and targeted therapy (<xref rid="b117-or-55-3-09047" ref-type="bibr">117</xref>). Distinct miRNA expression profiles reliably differentiate BC tissue from normal counterparts (<xref rid="b121-or-55-3-09047" ref-type="bibr">121</xref>). For example, upregulation of miR-21, miR-106a and miR-155, along with reduced expression of miR-126, miR-199a and miR-335, is observed in BC compared with normal tissues (<xref rid="b126-or-55-3-09047" ref-type="bibr">126</xref>).</p>
<p>The first comprehensive study evaluating miRNA expression in BC tissue analyzed 76 tumor samples and identified 29 miRNAs with differential expression compared with normal breast tissue; among these, miR-10b, miR-125b, miR-145, miR-21 and miR-155 were key candidates, with miR-155 demonstrating the most pronounced dysregulation (<xref rid="b127-or-55-3-09047" ref-type="bibr">127</xref>).</p>
<p>miR-21 is one of the most extensively studied miRNAs in BC and is associated with aggressive tumor characteristics, including advanced clinical stage, high histological grade and HR-negative status (<xref rid="b128-or-55-3-09047" ref-type="bibr">128</xref>&#x2013;<xref rid="b130-or-55-3-09047" ref-type="bibr">130</xref>). Its expression is positively regulated by TGF-&#x03B2;, and its upregulation is observed in BC tissue (<xref rid="b131-or-55-3-09047" ref-type="bibr">131</xref>).</p>
<p>Further research has revealed subtype-specific miRNA expression patterns (<xref rid="b132-or-55-3-09047" ref-type="bibr">132</xref>,<xref rid="b133-or-55-3-09047" ref-type="bibr">133</xref>). For example, miR-342 expression is elevated in ER<sup>&#x002B;</sup> and HER2<sup>&#x002B;</sup> tumors but decreased in TNBC (<xref rid="b134-or-55-3-09047" ref-type="bibr">134</xref>). Conversely, miR-520 is upregulated in HR<sup>&#x2212;</sup> tumors, suggesting distinct functional roles across BC subtypes (<xref rid="b135-or-55-3-09047" ref-type="bibr">135</xref>). Analysis examining 309 miRNAs in 93 breast tumor samples identified 31 miRNAs associated with favorable prognostic features, including low histological grade and ER<sup>&#x002B;</sup> status (<xref rid="b136-or-55-3-09047" ref-type="bibr">136</xref>). Notably, miR-155 is upregulated in BC tissues compared with normal controls and elevated in ER<sup>&#x2212;</sup> compared with ER<sup>&#x002B;</sup> tumors (<xref rid="b136-or-55-3-09047" ref-type="bibr">136</xref>).</p>
<p>Disruption of miRNA expression patterns can lead to widespread cell dysfunction, including aberrant cell cycle regulation and uncontrolled tumor proliferation (<xref rid="b16-or-55-3-09047" ref-type="bibr">16</xref>).</p>
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<title>miR-155</title>
<p>miR-155 is an evolutionarily conserved molecule encoded by the host gene MIR155HG, located on chromosome 21 at the 21q21.3 locus (<xref rid="b137-or-55-3-09047" ref-type="bibr">137</xref>). This gene spans &#x007E;13 kilobases and comprises three exons, with the third exon containing a 1,500-base-pair primary transcript, pri-miR-155, which undergoes sequential processing to produce the mature miR-155 (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>). Initially identified as the B cell integration cluster, MIR155HG was first recognized for its role as a retroviral integration site in B cell lymphoma in both human and animal models, marking its role in oncogenesis (<xref rid="b139-or-55-3-09047" ref-type="bibr">139</xref>). Mature miR-155 exists in two isoforms: miR-155-5p and miR-155-3p, each exerting distinct regulatory effects. miR-155-3p enhances the production of IFN-&#x03B1;/&#x03B2; by promoting degradation of interleukin-1 receptor-associated kinase 3, whereas miR-155-5p suppresses IFN-&#x03B1;/&#x03B2; production by targeting Transforming growth factor-&#x03B2; (TGF-&#x03B2;)-activated kinase 1, also known as MAP3K7 binding protein 2 (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b140-or-55-3-09047" ref-type="bibr">140</xref>,<xref rid="b141-or-55-3-09047" ref-type="bibr">141</xref>). miR-155-5p also modulates immune responses and contributes to drug resistance, while miR-155-3p is implicated in multiple types of cancer, like lung cancer and glioblastoma (<xref rid="b141-or-55-3-09047" ref-type="bibr">141</xref>). These diverse functions underscore the multifaceted role of miR-155 in cancer progression and immune regulation (<xref rid="b20-or-55-3-09047" ref-type="bibr">20</xref>,<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b140-or-55-3-09047" ref-type="bibr">140</xref>&#x2013;<xref rid="b143-or-55-3-09047" ref-type="bibr">143</xref>).</p>
<p>miR-155 has emerged as a promising therapeutic target due to its involvement in immunosuppressive mechanisms and its potential to enhance antitumor immune responses. This miRNA serves a key role in augmenting T cell-mediated immunity by improving T cell functionality, memory formation, cytotoxic activity and IFN-&#x03B3; production (<xref rid="b12-or-55-3-09047" ref-type="bibr">12</xref>). However, while enhancing miRNA expression can potentiate T cell responses against tumors, IFN-&#x03B3; signaling induces the expression of PD-L1, which may paradoxically promote a pro-tumorigenic environment (<xref rid="b12-or-55-3-09047" ref-type="bibr">12</xref>).</p>
<p>miR-155 is one of the most extensively characterized miRNAs in BC (<xref rid="b19-or-55-3-09047" ref-type="bibr">19</xref>,<xref rid="b20-or-55-3-09047" ref-type="bibr">20</xref>,<xref rid="b142-or-55-3-09047" ref-type="bibr">142</xref>,<xref rid="b144-or-55-3-09047" ref-type="bibr">144</xref>&#x2013;<xref rid="b148-or-55-3-09047" ref-type="bibr">148</xref>). Initially classified as an oncomiR, it has been implicated in promoting tumorigenesis and disease progression. Elevated expression of miR-155 is associated with tumor development, poor prognosis and resistance to therapy in both solid tumors and hematological malignancies (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b141-or-55-3-09047" ref-type="bibr">141</xref>). Functioning as an oncogene, miR-155 targets genes involved in immune regulation, DNA repair, hypoxia responses and inflammation, thereby influencing both tumor cell behavior and the tumor microenvironment (<xref rid="b149-or-55-3-09047" ref-type="bibr">149</xref>). Studies have reported that high miR-155 expression is associated with improved OS in various cancers, including BC (<xref rid="b19-or-55-3-09047" ref-type="bibr">19</xref>). This may be attributed to its dual role in both the innate and adaptive immune systems, as it is expressed in immune as well as in tumor cells (<xref rid="b150-or-55-3-09047" ref-type="bibr">150</xref>). Consequently, the functional impact of miR-155 in BC remains context-dependent, and whether its expression is pro- or antitumorigenic is under investigation (<xref rid="b12-or-55-3-09047" ref-type="bibr">12</xref>,<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>).</p>
<p>In patients with BC, circulating levels of miR-155 are significantly elevated compared with healthy individuals. Moreover, miR-155 levels tend to decrease following adjuvant cancer treatment, such as surgery and chemotherapy and are highest in tumor with diameter &#x003E;5 cm, suggesting its potential utility as a biomarker for therapeutic monitoring. Elevated circulating miR-155 is also linked to early-stage tumor recurrence, further supporting its relevance in disease surveillance (<xref rid="b151-or-55-3-09047" ref-type="bibr">151</xref>,<xref rid="b152-or-55-3-09047" ref-type="bibr">152</xref>).</p>
<p>Upregulation of miR-155 is associated with treatment resistance, notably in trastuzumab-resistant BC. In early-stage patients receiving trastuzumab-based therapy, elevated levels of circulating exosomal miR-155 are an independent predictor of poor event-free survival. Similarly, in metastatic patients undergoing trastuzumab-containing regimens, high circulating miR-155 levels are associated with decreased PFS. These findings underscore the prognostic value of miR-155 in predicting adverse clinical outcomes in both early-stage and metastatic BC (<xref rid="b153-or-55-3-09047" ref-type="bibr">153</xref>).</p>
<p>In another study (<xref rid="b154-or-55-3-09047" ref-type="bibr">154</xref>), patients with early-stage and metastatic BC were stratified into high and low miR-155 expression groups. Among early-stage patients, decreased miR-155 expression was associated with shorter DFS compared with those with higher expression. Furthermore, miR-155 expression was significantly lower in patients who experienced relapse than in those who remained relapse-free, further supporting its potential prognostic value in BC (<xref rid="b154-or-55-3-09047" ref-type="bibr">154</xref>).</p>
<p>A systematic review (<xref rid="b147-or-55-3-09047" ref-type="bibr">147</xref>) of 28 studies found that miR-155 overexpression is associated with higher tumor grade and advanced staging. However, inconsistencies were noted across studies regarding the association between miR-155 levels and HR status, and no definitive association was observed between miR-155 expression and other key patient prognostic factors (<xref rid="b147-or-55-3-09047" ref-type="bibr">147</xref>).</p>
<p>The diagnostic utility of circulating miR-155 also varies across studies (<xref rid="b148-or-55-3-09047" ref-type="bibr">148</xref>,<xref rid="b151-or-55-3-09047" ref-type="bibr">151</xref>). Notably, serum-derived miR-155 has greater diagnostic accuracy compared with plasma-derived miR-155 (<xref rid="b155-or-55-3-09047" ref-type="bibr">155</xref>). This discrepancy may stem from the coagulation process, which influences the extracellular miRNA profile in blood. Despite these findings, the limited number of studies examining plasma miR-155 underscores the need for further investigation to establish its diagnostic potential in BC (<xref rid="b148-or-55-3-09047" ref-type="bibr">148</xref>).</p>
<p>In metastasis, exosomes (nanometer-sized vesicles capable of transporting various biomolecules, including miRNAs) are hypothesized to mediate the transfer of malignant traits to distant cells. miR-155 is enriched in exosomes derived from metastatic BC, suggesting a role in promoting metastatic behavior (<xref rid="b156-or-55-3-09047" ref-type="bibr">156</xref>). This is consistent with studies linking miR-155 to chemoresistance, as it has also been detected in exosomes isolated from cancer stem and drug-resistant tumor cells (<xref rid="b157-or-55-3-09047" ref-type="bibr">157</xref>,<xref rid="b158-or-55-3-09047" ref-type="bibr">158</xref>). Furthermore, a panel of circulating miRNAs, including miR-155, is elevated in the plasma of patients with non-metastatic BC prior to treatment, with levels declining following therapy, supporting its potential use as a biomarker for therapeutic monitoring (<xref rid="b159-or-55-3-09047" ref-type="bibr">159</xref>).</p>
<p>miR-155 is a promising therapeutic target due to its involvement in immunoregulatory pathways and its capacity to enhance antitumor immune responses. It serves a critical role in augmenting T cell-mediated immunity by enhancing T cell functionality, memory formation, cytotoxic activity and IFN-&#x03B3; production. However, while modulation of miR-155 expression strengthens antitumor T cell responses, the resulting increase in IFN-&#x03B3; signaling may induce upregulation of PD-L1, thereby contributing to an immunosuppressive tumor microenvironment (<xref rid="b160-or-55-3-09047" ref-type="bibr">160</xref>).</p>
<p>The search for biomarkers in TNBC has prompted extensive investigation into miRNAs as potential therapeutic targets, providing deeper insight into tumor biology (<xref rid="b161-or-55-3-09047" ref-type="bibr">161</xref>,<xref rid="b162-or-55-3-09047" ref-type="bibr">162</xref>). miR-155 has emerged as a key regulator of cell proliferation, in part due to its role in maintaining thiamine metabolism in TNBC, as well as its involvement in promoting TGF-&#x03B2;-induced epithelial-mesenchymal transition (<xref rid="b12-or-55-3-09047" ref-type="bibr">12</xref>). Although miR-155 is typically characterized as an oncogenic miRNA that promotes tumor growth, angiogenesis and aggressiveness, emerging evidence suggests a context-dependent, protective role in TNBC (<xref rid="b163-or-55-3-09047" ref-type="bibr">163</xref>). In this subtype, miR-155 upregulation is associated with improved survival outcomes. A systematic review and meta-analysis demonstrated that low miR-155 expression is predictive of poor OS in patients with TNBC, potentially due to its influence on molecular pathways involved in DNA damage response and repair (<xref rid="b163-or-55-3-09047" ref-type="bibr">163</xref>).</p>
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<title>miR-155 modulates cell pathways involved in TIL activity</title>
<p>Although BC has not traditionally been considered an immunogenic tumor, the presence of TILs has been consistently documented and is associated with favorable clinical outcomes, particularly in patients with TNBC subtype (<xref rid="b75-or-55-3-09047" ref-type="bibr">75</xref>,<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>,<xref rid="b164-or-55-3-09047" ref-type="bibr">164</xref>). In TNBC, an evaluation of plasma miR-155 expression revealed that lower levels are significantly associated with shorter median DFS and OS. Notably, in multivariate analysis, miR-155 emerged as the only independent predictor of decreased DFS (<xref rid="b154-or-55-3-09047" ref-type="bibr">154</xref>). Given the key immunoregulatory functions of miR-155, including its roles in B lymphocyte and CD4<sup>&#x002B;</sup> T cell differentiation, as well as Treg activation, these findings suggest that elevated plasma miR-155 levels may reflect a more robust antitumor immune response (<xref rid="b154-or-55-3-09047" ref-type="bibr">154</xref>).</p>
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<title>miR-155 upregulation enhances TIL activity in tumor immunoediting</title>
<p>Studies using T cell-specific Dicer knockout mice have demonstrated impaired T cell development, aberrant Th cell differentiation and altered cytokine production, underscoring the key role of miRNAs in T cell maturation and function (165, 166).</p>
<p>miR-155 has been identified as a key regulator of Treg and Th17 cell differentiation through its direct targeting of suppressor of cytokine signaling 1 (SOCS1), a negative regulator of the JAK/STAT signaling pathway. By suppressing SOCS1, miR-155 enhances phosphorylation of STAT5 and STAT3, potentially by alleviating SOCS1-mediated inhibition. Furthermore, miR-155 promotes Th17 cell differentiation and effector function via distinct mechanisms. It facilitates activation of the IL-6/STAT3 signaling pathway, which is key for Th17 lineage commitment and IL-17A production (<xref rid="b167-or-55-3-09047" ref-type="bibr">167</xref>). Additionally, miR-155 counteracts the inhibitory effects of IL-10 and TGF-&#x03B2;1 on IL-17A expression, thereby augmenting the pro-inflammatory potential of Th17 cells (<xref rid="b167-or-55-3-09047" ref-type="bibr">167</xref>).</p>
<p>Wang <italic>et al</italic> (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>) identified a positive association between the expression levels of miR-155 in breast tumors and the presence of antitumoral immune cells, such as CD8<sup>&#x002B;</sup> T cells and M1 macrophages. Conversely, they noted a negative association with protumoral cell types, including Tregs and M2 macrophages. The forced overexpression of miR-155 enhances the production of chemokines CXCL9, CXCL10 and CXCL11, which is driven by SOCS1 inhibition and an increased ratio of phosphorylated STAT1/STAT3. Furthermore, a convolutional neural network analysis confirmed that elevated levels of miR-155 are associated with an increased proportion of TILs, emphasizing its role in enhancing both innate and adaptive immunity (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>).</p>
<p>In a mouse model with miR-155-overexpressing tumors, there was an increase in immune checkpoint molecules such as PD-L1 and CTLA4, which are known to inhibit antitumor activity (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>). This upregulation was also observed in human BC tissue miR-155 overexpression results in increased PD-L1 expression in both human and murine BC cell lines, suggesting a potential sensitivity to immune checkpoint blockade therapy (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>,<xref rid="b168-or-55-3-09047" ref-type="bibr">168</xref>).</p>
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<title>miR-155 inhibits SOCS1, which affects the activity of tumor-infiltrating lymphocytes (TILs)</title>
<p>The downregulation of SOCS1 by direct miR-155 targeting serving a pivotal role in enhancing TILs activity in TNBC. SOCS1, a member of the STAT-induced STAT inhibitor family, negatively modulates pro-inflammatory cytokines via two mechanisms. Firstly, SOCS1 catalyzes the ubiquitination of signaling intermediates recruited by SOCS1. Secondly, it directly inhibits the JAK/STAT pathway (<xref rid="b169-or-55-3-09047" ref-type="bibr">169</xref>), thereby preventing excessive levels of pro-inflammatory cytokines, such as IFN (<xref rid="b170-or-55-3-09047" ref-type="bibr">170</xref>) and ILs (<xref rid="b171-or-55-3-09047" ref-type="bibr">171</xref>).</p>
<p>Increased IFN-&#x03B3; is associated with more effective anti-tumor response and with an enhancement of T cell response (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b141-or-55-3-09047" ref-type="bibr">141</xref>). Therefore, by targeting SOCS1, miR-155 indirectly promotes IFN-&#x03B3; production, resulting in more active TILs, which, in TNBC, is associated with a positive prognosis. However, in other types of cancer, such as colorectal cancer (<xref rid="b172-or-55-3-09047" ref-type="bibr">172</xref>) and pancreatic cancer (<xref rid="b173-or-55-3-09047" ref-type="bibr">173</xref>), SOCS1 is considered a tumor suppressor, and downregulation of SOCS1 can be associated with tumor progression (<xref rid="b174-or-55-3-09047" ref-type="bibr">174</xref>).</p>
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<title>PI3K/AKT is modulated by miR-155/SOCS1, leading to enhanced TIL activity in the tumor microenvironment</title>
<p>SOCS1 suppresses the PI3K/AKT pathway, which is involved in cell proliferation, meaning miR-155 also promotes cell proliferation. SH-2 containing inositol 5&#x2032; polyphosphatase 1 (SHIP1), an inositol phosphatase, together with PTEN is a key negative regulator of PI3K/AKT and miR-155 directly targets its expression; when miR-155 is upregulated, SHIP1 expression is reduced, and cell proliferation is promoted together with increased pro-inflammatory cytokine levels. AKT promotes the production of ILs such as IL-6 and IL-12. High TIL levels influence the migration and infiltration of TILs into the tumor site. By increasing chemokine production and cell motility, this pathway may promote the recruitment of TILs into the tumor microenvironment, improving the immune response (<xref rid="b175-or-55-3-09047" ref-type="bibr">175</xref>). miR-155 can also enhance the cytotoxic activity of CD8<sup>&#x002B;</sup> T cells, promoting tumor cell death (<xref rid="b175-or-55-3-09047" ref-type="bibr">175</xref>).</p>
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<title>miR-155 triggers a suppressive cascade that reduces Treg function</title>
<p>SOCS1 maintains FOXP3 expression and Treg cell stability under inflammatory conditions. Treg cells serve an immunosuppressive role in the tumor microenvironment. The transcription factor FOXP3 is key for the normal development of Tregs; decreased FOXP3 is associated with higher proportions of cytotoxic cells, which can lead to a better prognosis. High expression of FOXP3 is associated with immune tolerance of cancer cells. During the equilibrium phase of the immune response in the tumor microenvironment, there is a low proportion of Tregs due to decreased FOXP3 expression, and a high proportion of cytotoxic cells (<xref rid="b56-or-55-3-09047" ref-type="bibr">56</xref>,<xref rid="b57-or-55-3-09047" ref-type="bibr">57</xref>,<xref rid="b176-or-55-3-09047" ref-type="bibr">176</xref>,<xref rid="b177-or-55-3-09047" ref-type="bibr">177</xref>).</p>
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<title>miR-155 suppresses expression of PD-L1, enhancing TIL activity in TNBC</title>
<p>PD-L1 is a cell surface protein that serves a critical role in suppressing the immune response; its expression on tumor cells is a mechanism for evading immunosurveillance. The interplay between miR-155 and PD-L1 has notable implications for TIL activity in TNBC. When miR-155 downregulates PD-L1, T cell inhibition is reduced, thus enhancing the anti-tumor immune response mediated by TILs (<xref rid="b178-or-55-3-09047" ref-type="bibr">178</xref>). Studies have confirmed that miR-155 regulates TILs by targeting specific regions of PD-L1 mRNA (<xref rid="b179-or-55-3-09047" ref-type="bibr">179</xref>,<xref rid="b180-or-55-3-09047" ref-type="bibr">180</xref>).</p>
<p>However, the increase in pro-inflammatory cytokines such as TNF-&#x03B1; and IFN-&#x03B3; can indirectly increase PD-L1 expression; the net result of this interaction will dictate the immune evasion in TNBC (<xref rid="b181-or-55-3-09047" ref-type="bibr">181</xref>).miR-155 inhibits the IL-6/STAT3 pathway. IL-6 and miR-155 form a positive feedback loop: IL-6 stimulates the expression of miR-155, which inhibits SOCS. By inhibiting SOCS, miR-155 allows increased signaling of cytokines, such as IL-6, further promoting the activation of the IL-6/STAT3 pathway. When SOCS1 is inhibited by miR-155, the IL-6/STAT3 pathway becomes more active, leading to increased production of IL-6 and other pro-inflammatory cytokines.</p>
<p>IL-6 is a pleiotropic cytokine that serves an important role in physiological processes, including cell proliferation, immune surveillance, acute inflammation, metabolism and bone remodeling. IL-6 binds to the IL-6 receptor, which subsequently binds to the glycoprotein 130 receptor creating a signal transducing hexameric receptor complex. JAKs are recruited and activated; activated JAK phosphorylates STAT3 for activation, leading to gene regulation. Constitutively active IL-6/JAK/STAT3 signaling promotes cancer cell proliferation and invasiveness while suppressing apoptosis, and STAT3 enhances IL-6 signaling to promote an inflammatory feedback loop (<xref rid="b182-or-55-3-09047" ref-type="bibr">182</xref>).</p>
<p>The IL-6/STAT3 pathway is a key signaling pathway in cancer. IL-6 activates STAT3, which regulates the expression of genes involved in cell proliferation, survival, and inflammation. Targeting this IL-6 has a dual effect on BC which may either be tumorigenic or antitumorigenic. The tumorigenic effect is caused by inhibiting apoptosis, triggering the survival of tumor cells, and allowing metastasis. IL-6 stimulates miR-155 expression, which targets SOCS, hence promoting the progression of BC (<xref rid="b183-or-55-3-09047" ref-type="bibr">183</xref>). Blocking IL-6 pathway can prevent this progression via the inhibition of tumor migration and invasion (<xref rid="b184-or-55-3-09047" ref-type="bibr">184</xref>).</p>
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<title>Upregulation of miR-155 in dendritic cells (DCs) induces T cell proliferation and IFN-&#x03B3; and IL-2 secretion</title>
<p>miR-155 promotes DC maturation and increases the expression of MHC Class II (MHCII), CD86, CD40 and CD83, which are key for T cell activation and the generation of effective TILs (<xref rid="b185-or-55-3-09047" ref-type="bibr">185</xref>). This enhances the ability of DCs to present antigens to CD4<sup>&#x002B;</sup> T cells, a key step in activating the adaptive immune response and generating effective TILs (<xref rid="b55-or-55-3-09047" ref-type="bibr">55</xref>). By increasing CD86 expression, miR-155 enhances the costimulatory signal needed for T cell activation, promoting a more robust immune response and enhancing TIL function. CD40 signaling is vital for effective antigen-presenting cells (APC) activation, which is a key step in generating potent TIL responses. As a marker of mature DCs, the presence of CD83<sup>&#x002B;</sup> DCs in the tumor microenvironment indicates a more active T cell response, enhancing anti-tumor immunity through TILs. miR-155 promotes the production of IL12p70, a cytokine that promotes the differentiation of CD4<sup>&#x002B;</sup> T into Th1 cells, enhances CD8<sup>&#x002B;</sup> cytotoxic T cell activity and stimulates IFN-&#x03B3; production. These factors that contribute to an enhanced anti-tumor immune response and are necessary for effective TIL function (<xref rid="b53-or-55-3-09047" ref-type="bibr">53</xref>,<xref rid="b184-or-55-3-09047" ref-type="bibr">184</xref>,<xref rid="b185-or-55-3-09047" ref-type="bibr">185</xref>).</p>
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<title>miR-155 exerts an inhibitory effect on ecto-5&#x2032;-nucleotidase (NT5E) expression</title>
<p>NT5E is an enzyme that produces immunosuppressive adenosine in the tumor microenvironment by hydrolyzing AMP. This adenosine helps cancer cells evade destruction by cytotoxic T lymphocytes. Inhibition of NT5E could enhance the ability of the immune system to target and kill tumor cells. NT5E exists in two isoforms, with the shorter isoform able to bind to the longer one and cause its degradation. Several studies have shown that miR-155-5p can directly inhibit NT5E expression by binding its 3&#x2032; UTR (<xref rid="b186-or-55-3-09047" ref-type="bibr">186</xref>,<xref rid="b187-or-55-3-09047" ref-type="bibr">187</xref>).</p>
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<sec>
<title>Dual functionality of miR-155 in BC</title>
<p>miR-155 exemplifies the complex, context-dependent functionality characteristic of miRNAs in BC pathophysiology (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b141-or-55-3-09047" ref-type="bibr">141</xref>). miRNA expression profiles vary across the five molecular subtypes of BC, creating unique molecular environments that modulate miRNA function (<xref rid="b136-or-55-3-09047" ref-type="bibr">136</xref>). Alteration of the level of expression and activity of the enzymes involved in the biogenesis of the miRNA may drive the unique profiles observed in BC subtypes (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b141-or-55-3-09047" ref-type="bibr">141</xref>). Robust inverse associations have been established between miR-155 expression and ER positivity, demonstrating a direct association with TNBC phenotypes (<xref rid="b136-or-55-3-09047" ref-type="bibr">136</xref>).</p>
<p>Interaction with other non-coding RNA regulatory mechanisms and target availability determined by competing endogenous RNAs (ceRNAs) may explain the positive prognostic association observed with miR-155 expression in TNBC (<xref rid="b188-or-55-3-09047" ref-type="bibr">188</xref>). Genomic alterations characteristic of TNBC, including mutations and copy number variations, may modify the expression of transcripts and UTRs, thereby altering the abundance of miRNA response elements. These molecular perturbations disrupt ceRNA network homeostasis, potentially influencing miRNA sequestration dynamics, and target transcript regulation, including the positive prognostic association of miR-155 expression in TNBC genomic contexts-which is characterized by high mutational burden, genomic instability and heterogeneity (<xref rid="b189-or-55-3-09047" ref-type="bibr">189</xref>).</p>
<p>The unique TNBC microenvironment affects miR-155 functionality through cell-type specific regulatory networks and signaling cascades (<xref rid="b138-or-55-3-09047" ref-type="bibr">138</xref>,<xref rid="b190-or-55-3-09047" ref-type="bibr">190</xref>). Furthermore, miR-155 demonstrates notable stage-specific effects; elevated expression may promote recurrence in early-stage disease but is associated with improved outcomes in established TNBC. This temporal heterogeneity is complemented by spatial expression gradients within the tumor architecture, emphasizing the contextual nature of miR-155 function in BC progression (<xref rid="b190-or-55-3-09047" ref-type="bibr">190</xref>).</p>
<p>The complex regulatory mechanisms of miR-155 within the TNBC microenvironment illustrate the key intersection between basic molecular oncology and translational medicine. The context-dependent functions of miR-155 presents both challenges and opportunities for clinical application, and barriers remain in translating these molecular insights into practical clinical tools.</p>
</sec>
</sec>
</sec>
<sec>
<label>5.</label>
<title>Translating scientific findings into clinical practice and limitations</title>
<sec>
<title/>
<sec>
<title>Strategies for modifying miRNA content in tumor cells</title>
<p>Wang <italic>et al</italic> (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>) demonstrated that miRNAs notably enhance the inflammatory state of breast tumors (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>) . This finding is important because tumors characterized by a high percentage of TILs, specifically those classified as LPBC (TILs &#x2265;30 or 50&#x0025;), are associated with improved outcomes for anticancer therapy (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>,<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>,<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>). The relationship between TILs and tumor response offers a compelling rationale for exploring strategies to enhance lymphocyte infiltration into tumors, thereby generating tumors with an enhanced immune response dubbed as &#x2018;hot tumors&#x2019;. This are characterized by proinflammatory cytokines and T cell infiltration.</p>
<p>Approaches to modulate the tumor microenvironment using checkpoint inhibitor have been investigated to convert &#x2018;cold&#x2019; into &#x2018;hot&#x2019; tumors, which are expected to respond more effectively to immune-modulatory agents (<xref rid="b191-or-55-3-09047" ref-type="bibr">191</xref>,<xref rid="b192-or-55-3-09047" ref-type="bibr">192</xref>). Wang <italic>et al</italic> (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>) demonstrated that increased expression of miR-155 enhances the recruitment of antitumor immune cells to the tumor microenvironment, effectively transforming &#x2018;cold&#x2019; into &#x2018;hot&#x2019; tumors (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>).</p>
<p>Modifying miRNA levels in cells is accomplished through two primary methods: Increasing their concentration with target mimics known as miRNA mimics or decreasing their levels using antisense sequences that inhibit specific targets, referred to as antimiRs. Both strategies can be implemented using oligonucleotides or viral vectors. Advancements in biotechnology have improved the stability of synthetic RNA nucleotides, facilitating their use alongside nanoparticles that exhibit high transfection efficiency (<xref rid="b193-or-55-3-09047" ref-type="bibr">193</xref>). This progress in nanotechnology, in conjunction with enhancements in oligonucleotide chemistry, has accelerated the development of RNA interference therapeutics (<xref rid="b194-or-55-3-09047" ref-type="bibr">194</xref>,<xref rid="b195-or-55-3-09047" ref-type="bibr">195</xref>). Challenges in optimizing the use of short RNA nucleotides include improving targeted delivery, enhancing exosomal delivery, using both viral and non-viral vectors and minimizing toxicity and costs (<xref rid="b196-or-55-3-09047" ref-type="bibr">196</xref>,<xref rid="b197-or-55-3-09047" ref-type="bibr">197</xref>).</p>
<p>The biotechnological development of a miRNA-based strategy aimed at producing an approved drug necessitates an organized workflow. This process begins with a preclinical stage focused on establishing the proof-of-concept, which involves demonstrating that the alteration of specific miRNAs yields a notable anticancer effect. This is followed by preclinical studies using animal models, ultimately leading to clinical trials designed to secure approval for the treatment as an anticancer therapy (<xref rid="b198-or-55-3-09047" ref-type="bibr">198</xref>&#x2013;<xref rid="b200-or-55-3-09047" ref-type="bibr">200</xref>).</p>
</sec>
<sec>
<title>miRNAs as blood-based biomarkers for BC</title>
<p>Wang <italic>et al</italic> (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>) demonstrated that miR-155 levels in blood samples from patients are an indicator of the tumor inflammatory state (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>). Specifically, higher levels of miR-155 in serum are associated with increased expression of this miRNA in tumor samples, as well as an enhanced immune status.</p>
<p>The biotechnological development of blood-based biomarkers necessitates a carefully designed strategy to ensure safe translation to clinical practice. Standardized protocols and testing targets through multicenter studies are crucial for effectively translating miRNA-based signatures to the clinic. One of the challenges of standardization is identifying suitable reference genes to normalize quantitative PCR results. Additionally, following analytical guidelines for accurate data quantification is key. Multicenter studies involving large, independent cohorts of patients from various countries, representing diverse ethnic groups, are required to validate the proposed miRNA-based biomarkers (<xref rid="b201-or-55-3-09047" ref-type="bibr">201</xref>,<xref rid="b202-or-55-3-09047" ref-type="bibr">202</xref>).</p>
<p>A typical study involves at least two phases, each with distinct patient cohorts, as illustrated by Zou <italic>et al</italic> (<xref rid="b203-or-55-3-09047" ref-type="bibr">203</xref>), which developed a panel of serum miRNAs for BC screening. In the initial phase, known as the discovery cohort, researchers assessed a broad range of targets (324 miRNAs) to identify the most promising candidates whose expression levels significantly differ between patients and healthy controls. The targets selected from this phase, often referred to as the &#x2018;miRNA signature&#x2019;, are then evaluated in a validation cohort (<xref rid="b203-or-55-3-09047" ref-type="bibr">203</xref>). This systematic approach ensures that the identified miRNA signatures possess clinical relevance across different populations, enhancing their potential application in clinical settings. The next step involves conducting clinical trials to evaluate the accuracy of the selected miRNAs in diagnosing the intended disease. These trials are key for establishing the clinical use of biomarkers. Previous reviews have highlighted ongoing trials focused on validating miRNA-based biomarkers (<xref rid="b147-or-55-3-09047" ref-type="bibr">147</xref>,<xref rid="b148-or-55-3-09047" ref-type="bibr">148</xref>,<xref rid="b151-or-55-3-09047" ref-type="bibr">151</xref>,<xref rid="b155-or-55-3-09047" ref-type="bibr">155</xref>). In cancer such lymphoma, leukemia and most solid cancers it is consider an oncogenic miRNA. Differently, in TNBC it is linked with a better prognosis due to the regulation of TILs (<xref rid="b204-or-55-3-09047" ref-type="bibr">204</xref>&#x2013;<xref rid="b207-or-55-3-09047" ref-type="bibr">207</xref>).</p>
</sec>
<sec>
<title>Limitations</title>
<p>Mounting evidence supports the consensus that the proportion of TILs is one of the most reliable biomarkers for prognosticating outcomes in TNBC (<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>,<xref rid="b79-or-55-3-09047" ref-type="bibr">79</xref>). However, determining this proportion can be subjective, heavily relying on the pathologist microscopic evaluation. Previous studies have identified reproducibility issues among different pathologists (<xref rid="b77-or-55-3-09047" ref-type="bibr">77</xref>,<xref rid="b208-or-55-3-09047" ref-type="bibr">208</xref>). To address this limitation, multicenter initiatives have been launched, particularly by the TILs Working Group, to provide standardized guidelines and training (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>,<xref rid="b78-or-55-3-09047" ref-type="bibr">78</xref>). While TILs are valuable biomarkers, standardization is crucial for developing laboratory assessments that effectively guide treatment decisions and prognosis in clinical settings (<xref rid="b209-or-55-3-09047" ref-type="bibr">209</xref>,<xref rid="b210-or-55-3-09047" ref-type="bibr">210</xref>).</p>
<p>The analysis of miRNAs in tumor biology has been advanced by large datasets, such as The Cancer Genome Atlas (<xref rid="b211-or-55-3-09047" ref-type="bibr">211</xref>), which provide clinical information alongside mRNA and miRNA expression patterns. This highlights the complexity of the BC transcriptome, characterized by clusters of expressed genes (<xref rid="b212-or-55-3-09047" ref-type="bibr">212</xref>). Each miRNA can regulate hundreds of genes, and the miRNome of tumor cells often exhibits multiple dysregulated miRNAs. Thus, it is key to investigate the role of specific miRNAs to ascertain their involvement in cancer biology and the inflammatory status of tumors (<xref rid="b213-or-55-3-09047" ref-type="bibr">213</xref>,<xref rid="b214-or-55-3-09047" ref-type="bibr">214</xref>).</p>
<p>Research has elucidated the roles of specific miRNAs in TNBC and their potential as biomarkers for TIL infiltration and tumor outcomes, particularly miR-155. Wang <italic>et al</italic> (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>) revealed a significant association between miR-155 levels in blood and tumor samples, as well as with cytokines CCL5 and CXCL9/10/11. The sample size for biomarker validation is key, highlighting the need for multicenter studies. Developing multi-target signatures can enhance the accuracy of miRNA biomarkers, making it essential to evaluate metrics such as area under the curve, accuracy, sensitivity and specificity, typically defined using receiver operating characteristic curves (<xref rid="b201-or-55-3-09047" ref-type="bibr">201</xref>&#x2013;<xref rid="b203-or-55-3-09047" ref-type="bibr">203</xref>).</p>
<p>An important consideration in using miRNAs to assess the inflammatory status of breast tumors is whether the miRNA is expressed by cancer cells or lymphocytes. This distinction is key, as tumors exhibit varying levels of lymphocyte infiltration (<xref rid="b18-or-55-3-09047" ref-type="bibr">18</xref>). In tumors with a higher proportion of TILs, miR-155 content primarily reflects lymphocyte-derived miRNAs. Conversely, in tumors with minimal lymphocyte infiltration, miR-155 expression is predominantly derived from cancer cells. This limitation warrants caution in interpreting miRNAs as biomarkers, despite the potential of miRNAs as targets for developing prognostic assays in BC.</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusion">
<label>6.</label>
<title>Conclusion</title>
<p>Considering the complexity and diversity of BC subtypes, as well as the impact of this variation on diagnosis, prognosis and therapeutic planning, the use of tumor biomarkers has relevance in the field of breast oncology. miR-155 is a promising biomarker for patient stratification in TNBC due to its multifaceted enhancement of TIL activity, operating via key molecular pathways including SOCS1 suppression, PI3K/AKT modulation and IL-6/STAT3 signaling. The detection of miR-155 in both tumor tissue and circulation, coupled with its role in augmenting DC maturation and T cell responses, suggests its potential use as a predictive marker for immunotherapy efficacy.</p>
<p>As elevated TIL presence is associated with improved survival outcomes in TNBC, miR-155 expression profiling may facilitate more precise therapeutic stratification, advancing personalized treatment approaches in this aggressive BC subtype. Properly designed preclinical studies assessing efficacy, toxicity and pharmacokinetic parameters, followed by clinical trials, are key in the development of miRNA-based therapies aimed at improving treatment outcomes in TNBC.</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>MMAV conceived the study and wrote and edited the manuscript. FS performed the literature review and wrote and edited the manuscript. SSARF constructed figures and edited the manuscript. MEX and RTA performed the literature review and editing the manuscript. All authors have read and approved the final manuscript. Data authentication is not applicable.</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>
<sec>
<title>Use of artificial intelligence tools</title>
<p>During the preparation of this work, AI tools were used to improve the readability and language of the manuscript or to generate images, and subsequently, the authors revised and edited the content produced by the AI tools as necessary, taking full responsibility for the ultimate content of the present manuscript.</p>
</sec>
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</back>
<floats-group>
<fig id="f1-or-55-3-09047" position="float">
<label>Figure 1.</label>
<caption><p>Characterization of breast cancer grading. The grading system remains the international gold standard for prognostic stratification in invasive breast carcinoma.</p></caption>
<alt-text>Figure 1. Characterization of breast cancer grading. The grading system remains the international gold standard for prognostic stratification in invasive breast carcinoma.</alt-text>
<graphic xlink:href="or-55-03-09047-g00.tiff"/>
</fig>
<fig id="f2-or-55-3-09047" position="float">
<label>Figure 2.</label>
<caption><p>TILs in breast cancer stromal sections. Higher proportions of TILs are associated with improved clinical outcomes. TIL, tumor-infiltrating lymphocyte. Image obtained from International TILS Working Group (<xref rid="b70-or-55-3-09047" ref-type="bibr">70</xref>).</p></caption>
<alt-text>Figure 2. TILs in breast cancer stromal sections. Higher proportions of TILs are associated with improved clinical outcomes. TIL, tumor&#x2013;infiltrating lymphocyte . Image obtained from International TILS...</alt-text>
<graphic xlink:href="or-55-03-09047-g01.tiff"/>
</fig>
<fig id="f3-or-55-3-09047" position="float">
<label>Figure 3.</label>
<caption><p>Kaplan-Meier curves for survival based on sTILs. Kaplan-Meier curves of (A) iDFS, (B) D-DFS and (C) OS according to TILs using a 30&#x0025; cut-off. Shaded areas correspond to 95&#x0025; CI. P-values correspond to log-rank tests. Figure reproduced with permission from Loi et al, and modified by the author (<xref rid="b99-or-55-3-09047" ref-type="bibr">99</xref>). iDFS, invasive disease-free survival; D-DFS, distant disease free survival; OS, overall survival; sTIL, stromal tumor-infiltrating lymphocyte.</p></caption>
<alt-text>Figure 3. Kaplan&#x2013;Meier curves for survival based on sTILs. Kaplan&#x2013;Meier curves of (A) iDFS, (B) D&#x2013;DFS and (C) OS according to TILs using a 30&#x0025; cut&#x2013;off. Shaded areas correspond to 95&#x0025; CI. P&#x2013;values corr...</alt-text>
<graphic xlink:href="or-55-03-09047-g02.tiff"/>
</fig>
<fig id="f4-or-55-3-09047" position="float">
<label>Figure 4.</label>
<caption><p>Kaplan-Meier survival curves with a 30&#x0025; TILs cut-off Kaplan-Meier curves of (A) iDFS, (B) D-DFS and (C) OS in stage I subpopulation according to stromal tumor-infiltrating lymphocytes using a cut-off of 30&#x0025;. Figure reproduced with permission from Park <italic>et al</italic>, and modified by the author (<xref rid="b100-or-55-3-09047" ref-type="bibr">100</xref>). iDFS, invasive disease free survival; D-, distant; OS, overall survival; sTIL, stromal tumor-infiltrating lymphocyte.</p></caption>
<alt-text>Figure 4. Kaplan&#x2013;Meier survival curves with a 30&#x0025; TILs cut&#x2013;off Kaplan&#x2013;Meier curves of (A) iDFS, (B) D&#x2013;DFS and (C) OS in stage I subpopulation according to stromal tumor&#x2013;infiltrating lymphocytes using...</alt-text>
<graphic xlink:href="or-55-03-09047-g03.tiff"/>
</fig>
<fig id="f5-or-55-3-09047" position="float">
<label>Figure 5.</label>
<caption><p>Biogenesis and function of miR-155. TLR stimulation initiates BIC transcription by Pol II in the nucleus, producing pri-miR-155 (negatively regulated by BRCA1/SMAD4). Drosha/DGCR8 processing generates pre-miR-155, which is exported to the cytoplasm via exportin 5. Cytoplasmic Dicer1/TRBP cleaves pre-miR-155 into a duplex that incorporates into AGO2, forming the RISC complex. Mature miR-155 mediates mRNA degradation, destabilization or translational inhibition. miR-155 can be packaged into exosomes for intercellular signaling. miR, microRNA; TLR, toll-like receptor; pri-miR, primary microRNA; DGCR8, DiGeorge syndrome critical region 8 protein; TRBP, transactivation response RNA binding protein; AGO, argonaut proteins; RISC, RNA-induced silencing; BIC, B cell integration cluster; Pol, polymerase.</p></caption>
<alt-text>Figure 5. Biogenesis and function of miR&#x2013;155. TLR stimulation initiates BIC transcription by Pol II in the nucleus, producing pri&#x2013;miR&#x2013;155 (negatively regulated by BRCA1/SMAD4). Drosha/DGCR8 proces...</alt-text>
<graphic xlink:href="or-55-03-09047-g04.tiff"/>
</fig>
<table-wrap id="tI-or-55-3-09047" position="float">
<label>Table I.</label>
<caption><p>Histological subtypes of breast cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">Invasive breast carcinoma of no special type</th>
<th align="center" valign="bottom">Invasive lobular carcinoma</th>
<th align="center" valign="bottom">Invasive mucinous carcinoma</th>
<th align="center" valign="bottom">Rare entities</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Characterization</td>
<td align="left" valign="top">Heterogeneous group that cannot be categorized into any other group</td>
<td align="left" valign="top">Tumor cells that are discohesive and typically arranged in a single file or Indian-file pattern, often distributed across a desmoplastic stroma.</td>
<td align="left" valign="top">Cluster of low- to moderate-grade tumor cells floating in a pool of extracellular mucin.</td>
<td align="left" valign="top">Tubular carcinoma Cribriform carcinoma Mucinous carcinoma Mucinous cystadenocarcinoma Carcinoma with apocrine differentiation Metaplastic carcinoma</td>
</tr>
<tr>
<td align="left" valign="top">Frequency of cases</td>
<td align="left" valign="top">80&#x0025;</td>
<td align="left" valign="top">5&#x2013;15&#x0025;</td>
<td align="left" valign="top">2&#x0025;</td>
<td align="left" valign="top">1&#x0025;</td>
</tr>
<tr>
<td align="left" valign="top">Biomarkers</td>
<td align="left" valign="top">ER and HER2</td>
<td align="left" valign="top">ER<sup>&#x002B;</sup>, HER2<sup>&#x2212;</sup> and aberrant E-cadherin</td>
<td align="left" valign="top">ER<sup>&#x002B;</sup>, PR<sup>&#x002B;</sup> and HER2<sup>&#x2212;</sup></td>
<td align="left" valign="top">Varies according to cancer subtype</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-or-55-3-09047"><p>ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-or-55-3-09047" position="float">
<label>Table II.</label>
<caption><p>Molecular subtypes of breast cancer based on receptor status (ER, PR, HER2), proliferation index (Ki-67), histological grade and clinical parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">Luminal B</th>
<th/>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">Luminal A</th>
<th align="center" valign="bottom">HER2-</th>
<th align="center" valign="bottom">HER2&#x002B;</th>
<th align="center" valign="bottom">HER2&#x002B;</th>
<th align="center" valign="bottom">TN</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Biomarkers</td>
<td align="left" valign="top">ER&#x002B;</td>
<td align="left" valign="top">ER&#x002B;</td>
<td align="left" valign="top">ER&#x002B;</td>
<td align="left" valign="top">ER-</td>
<td align="left" valign="top">ER-</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">PR&#x002B;</td>
<td align="left" valign="top">PR-</td>
<td align="left" valign="top">PR-/&#x002B;</td>
<td align="left" valign="top">PR-</td>
<td align="left" valign="top">PR-</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">HER2-</td>
<td align="left" valign="top">HER2-</td>
<td align="left" valign="top">HER2&#x002B;</td>
<td align="left" valign="top">HER2&#x002B;</td>
<td align="left" valign="top">HER2-</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Ki-67 low</td>
<td align="left" valign="top">Ki-67 high</td>
<td align="left" valign="top">Ki-67 low/high</td>
<td align="left" valign="top">Ki-67 high</td>
<td align="left" valign="top">Ki-67 high</td>
</tr>
<tr>
<td align="left" valign="top">Frequency of cases</td>
<td align="left" valign="top">40&#x2013;50&#x0025;</td>
<td align="left" valign="top">20&#x2013;30&#x0025;</td>
<td/>
<td align="left" valign="top">10&#x2013;20&#x0025;</td>
<td align="left" valign="top">15&#x2013;20&#x0025;</td>
</tr>
<tr>
<td align="left" valign="top">Target Therapy</td>
<td align="left" valign="top">Tamoxifen</td>
<td align="left" valign="top">Tamoxifen</td>
<td/>
<td align="left" valign="top">Herceptin</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Response to Therapies</td>
<td align="left" valign="top">Endocrine</td>
<td align="left" valign="top" colspan="2">Endocrine Chemotherapy</td>
<td align="left" valign="top">Chemotherapy</td>
<td align="left" valign="top">Chemotherapy</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">PARP Inhibitors</td>
</tr>
<tr>
<td align="left" valign="top">Prognosis</td>
<td align="left" valign="top">Good</td>
<td align="left" valign="top">Intermediate</td>
<td/>
<td align="left" valign="top">Poor</td>
<td align="left" valign="top">Poor</td>
</tr>
<tr>
<td align="left" valign="top">Observations</td>
<td align="left" valign="top">Controlled cell growth</td>
<td align="left" valign="top" colspan="2">Fast cancer cell growth</td>
<td align="left" valign="top">Overexpression of HER2; Faster growth than luminals subtypes</td>
<td align="left" valign="top">Aggressive subtype; occurs more often in younger women; highest association with BRCA1 mutations</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tIII-or-55-3-09047" position="float">
<label>Table III.</label>
<caption><p>TIL thresholds and study characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">First author(s), year</th>
<th align="center" valign="bottom">Cut-off value, &#x0025;</th>
<th align="center" valign="bottom">Breast subtypes</th>
<th align="center" valign="bottom">Lymphocyte type</th>
<th align="center" valign="bottom">Number of patients</th>
<th align="center" valign="bottom">Duration of follow-up, months</th>
<th align="center" valign="bottom">Evaluation indicator</th>
<th align="center" valign="bottom">Country</th>
<th align="center" valign="bottom">Outcome</th>
<th align="center" valign="bottom">(Refs.)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Dieci <italic>et al</italic>, 2014</td>
<td align="center" valign="top">60</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">278</td>
<td align="center" valign="top">76</td>
<td align="left" valign="top">OS, DFS</td>
<td align="left" valign="top">France</td>
<td align="left" valign="top">High-TIL (n=27): 91&#x0025; 5-year OS (95&#x0025; CI, 68&#x2013;97&#x0025;). Low-TIL: 55&#x0025; 5-year OS (95&#x0025; CI 48&#x2013;61&#x0025;)</td>
<td align="center" valign="top">(<xref rid="b88-or-55-3-09047" ref-type="bibr">88</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Loi <italic>et al</italic>, 2019</td>
<td align="center" valign="top">50</td>
<td align="left" valign="top">HER2<sup>&#x002B;</sup>, HR<sup>&#x002B;</sup>, TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">1,010</td>
<td align="center" valign="top">62</td>
<td align="left" valign="top">OS, DFS</td>
<td align="left" valign="top">Australia</td>
<td align="left" valign="top">TNBC (n=134): 10&#x0025; increase in TILs associated with decreased distant recurrence (HR 0.77, 95&#x0025; CI 0.61&#x2013;0.98, P=0.02).</td>
<td align="center" valign="top">(<xref rid="b95-or-55-3-09047" ref-type="bibr">95</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">HER2<sup>&#x002B;</sup> BC (n=209): 10&#x0025; increase in lymphocytic infiltration associated with decreased distant recurrence in trastuzumab-treated patients (P= 0.025).</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ochi <italic>et al</italic>, 2019</td>
<td align="left" valign="top">50</td>
<td align="left" valign="top">HER2<sup>&#x002B;</sup>, TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">209</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">DFS, pCR</td>
<td align="center" valign="top">Japan</td>
<td align="center" valign="top">Low pre-NAT TILs associated with lower pCR rate: TNBC (4.0 vs. 43.6&#x0025;); HER2<sup>&#x002B;</sup> BC (26.0 vs. 51.9&#x0025;).</td>
<td align="center" valign="top">(<xref rid="b82-or-55-3-09047" ref-type="bibr">82</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">In TNBC with RD: Low pre-NAT TILs associated with shorter RFS (HR 3.844, P=0.024). Low post-NAT TILs demonstrate a non-significant association with shorter RFS (HR 2.836, P=0.061). No association between TIL change and RFS in TNBC or HER2<sup>&#x002B;</sup> BC</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Cerbelli <italic>et al</italic>, 2017</td>
<td align="left" valign="top">50</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">pCR</td>
<td align="center" valign="top">Italy</td>
<td align="center" valign="top">pCR achieved in 35&#x0025; of cases. Univariate analysis: PD-L1 expression in &#x2265;25&#x0025; of neoplastic cells associated with pCR (P=0.024). &#x2265;50&#x0025; sTILs associated with higher pCR frequency (P&#x003C;0.001). Multivariate analysis: PD-L1 expression on tumor cells significantly associated with pCR (OR 1.13, 95&#x0025; CI 1.01&#x2013;1.27).</td>
<td align="center" valign="top">(<xref rid="b91-or-55-3-09047" ref-type="bibr">91</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Van Bockstal <italic>et al</italic>, 2020</td>
<td align="center" valign="top">40</td>
<td align="left" valign="top">HER2<sup>&#x002B;</sup>, TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">pCR</td>
<td align="left" valign="top">Belgium</td>
<td align="left" valign="top">High sTILs (&#x2265;40&#x0025;) significantly associated with increased pCR rate</td>
<td align="center" valign="top">(<xref rid="b92-or-55-3-09047" ref-type="bibr">92</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Loi <italic>et al</italic>, 2014</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">2,148<sup>a</sup></td>
<td align="center" valign="top">&#x003E;78</td>
<td align="left" valign="top">DFS, OS</td>
<td align="left" valign="top">Australia, France, Italy, Finland, Belgium, Germany and USA</td>
<td align="left" valign="top">736 iDFS and 548 D-DFS events; 533 deaths. sTILs are a significant prognostic biomarker for: iDFS (HR 0.87, 95&#x0025; CI 0.83&#x2013;0.91, P&#x003C;0.001), D-DFS (HR 0.83, 95&#x0025; CI 0.79&#x2013;0.88, P&#x003C;0.001), OS (HR 0.84, 95&#x0025; CI 0.79&#x2013;0.89, P&#x003C;0.001) Node-negative patients with sTILs &#x2265;30&#x0025;, showed the following outcomes at 3 years outcomes: iDFS, 92&#x0025; (95&#x0025; CI 89&#x2013;98&#x0025;), D-DFS, 97&#x0025; (95&#x0025; CI 95&#x2013;99&#x0025;), OS, 99&#x0025; (95&#x0025; CI 97&#x2013;100&#x0025;)</td>
<td align="center" valign="top">(<xref rid="b83-or-55-3-09047" ref-type="bibr">83</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Park <italic>et al</italic>, 2019</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">476<sup>b</sup></td>
<td align="center" valign="top">96</td>
<td align="left" valign="top">DFS, OS</td>
<td align="left" valign="top">France, Italy,</td>
<td align="left" valign="top">A total of 107 deaths, 173 iDFS and 118 D-DFS events. sTILs have independent prognostic value for iDFS</td>
<td align="center" valign="top">(<xref rid="b96-or-55-3-09047" ref-type="bibr">96</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">South Korea</td>
<td align="left" valign="top">(HR 0.90, 95&#x0025; CI 0.82&#x2013;0.97, P&#x003C;0.01), D-DFS (HR 0.86, 95&#x0025; CI 0.77&#x2013;0.95, P&#x003C;0.01), OS (HR 0.88, 95&#x0025; CI 0.79&#x2013;0.98, P=0.015).</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">Patients with stage I tumors and sTILs &#x2265;30&#x0025; (n=74) had the following 5-year outcomes: iDFS, 91&#x0025; (95&#x0025; CI 84&#x2013;96&#x0025;), D-DFS, 97&#x0025; (95&#x0025; CI 93&#x2013;100&#x0025;), OS, 98&#x0025; (95&#x0025; CI 95&#x2013;100&#x0025;).</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Russo <italic>et al</italic>, 2019</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">HER2<sup>&#x002B;</sup>, TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">187</td>
<td align="center" valign="top">62.5</td>
<td align="left" valign="top">OS, pCR</td>
<td align="left" valign="top">Venezuela</td>
<td align="left" valign="top">pCR rate: TILs &#x2265;30&#x0025; = 58.5&#x0025; (odds ratio, 8.85); TILs &#x003C;30&#x0025; = 11&#x0025; (P&#x003C;0.001)</td>
<td align="center" valign="top">(<xref rid="b85-or-55-3-09047" ref-type="bibr">85</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">Association in HER2<sup>&#x002B;</sup> and TN subtypes. No association between TILs and OS (P=0.834) or DFS (P=0.937)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Floris <italic>et al</italic>, 2021</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">445</td>
<td align="center" valign="top">91.56</td>
<td align="left" valign="top">pCR</td>
<td align="left" valign="top">Belgium</td>
<td align="left" valign="top">High sTIL associated with pCR in lean (OR 4.24; 95&#x0025; CI 2.10&#x2013;8.56, P&#x003C;0.001) but not heavier patients (OR 1.48, 95&#x0025; CI 0.75&#x2013;2.91, P=0.26)</td>
<td align="center" valign="top">(<xref rid="b93-or-55-3-09047" ref-type="bibr">93</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">High sTIL associated with increased event-free survival in lean patients (HR 0.22, 95&#x0025; CI 0.08&#x2013;0.62, P=0.004) but not heavier patients (HR 0.53, 95&#x0025; CI 0.26&#x2013;1.08, P=0.08) Similar results for OS</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Dieci <italic>et al</italic>, 2020</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">244</td>
<td align="center" valign="top">81.6</td>
<td align="left" valign="top">pCR</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top">TILs confirmed as independent prognostic factor. PD-L1 is a prognostic biomarker: LR &#x03C7;<sup>2</sup> 4.60, P=0.032 (model with classical factors, including age, stage, histological grade and TIL 10&#x0025; increments). LR &#x03C7;<sup>2</sup> 6.50, P=0.011 (model with classical factors and TIL &#x003E;30 vs. &#x003C;30&#x0025;).</td>
<td align="center" valign="top">(<xref rid="b94-or-55-3-09047" ref-type="bibr">94</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">In patients treated with neoadjuvant chemotherapy, FOXP3 is a prognostic biomarker in addition to classical factors, including age, stage, histologic grade -, TILs, and pCR (LR &#x03C7;<sup>2</sup> 5.01, P=0.025).</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">In patients without pCR, CD8 and PD-L1 expression significantly increase from baseline to residual disease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Jimenez <italic>et al</italic>, 2022</td>
<td align="center" valign="top">20</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">80</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">pCR</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">38/145 extracted MRIRF significantly associated with pCR; 5 non-redundant imaging features.</td>
<td align="center" valign="top">(<xref rid="b215-or-55-3-09047" ref-type="bibr">215</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">MRIRF model accuracy (P=0.001, 72.7&#x0025; PPV, 72.0&#x0025; NPV). TIL model accuracy (P=0.038; 65.5&#x0025; PPV, 72.6&#x0025; NPV). Combined MRIRF and TIL model has improved prognostic accuracy (P&#x003C;0.001, 90.9&#x0025; PPV; 81.4&#x0025; NPV)-AUC: 0.632 (TIL); 0.712 (MRIRF); 0.752 (TIL &#x002B; MRIRF).</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Asano <italic>et al</italic>, 2018</td>
<td align="center" valign="top">10</td>
<td align="left" valign="top">HER2<sup>&#x002B;</sup>, TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">40</td>
<td align="left" valign="top">OS, DFS, pCR, HR</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">High-(n=96) vs. low-TIL (n=81): TNBC and HER2&#x002B; BC more frequent (P&#x003C;0.001 and P=0.040, respectively); higher pCR rate (P=0.003).</td>
<td align="center" valign="top">(<xref rid="b216-or-55-3-09047" ref-type="bibr">216</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">In TNBC and HER2&#x002B; BC, pCR rate is higher in high-TIL group (P=0.013 and P=0.014, respectively).</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">Multivariable analysis: High-TIL status independently predicts favorable prognosis (HR=0.24, P=0.023 and HR=0.13, P=0.036). Biopsy specimens from local recurrence following NAT show decreased TIL.</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Song <italic>et al</italic>, 2017</td>
<td align="center" valign="top">10</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All, T, B</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">34.9</td>
<td align="left" valign="top">DFS, pCR</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">Mean number of HEVs in pre-NAT biopsy, 12 (range, 0&#x2013;72). TILs, TLSs, HEV density and CXCL13 expression are associated with each other</td>
<td align="center" valign="top">(<xref rid="b217-or-55-3-09047" ref-type="bibr">217</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">Higher CD8<sup>&#x002B;</sup> cell density and CXCL13 expression are significantly associated with better DFS rate</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Khoury <italic>et al</italic>, 2018</td>
<td align="center" valign="top">46</td>
<td align="left" valign="top">HER2<sup>&#x002B;</sup>, TNBC luminal</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">331</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">pCR</td>
<td align="left" valign="top">Canadian</td>
<td align="left" valign="top">pCR rate: TBNC 30.9&#x0025; (29/95); HER2<sup>&#x002B;</sup> 32.5&#x0025; (25/77); Luminal 5.6&#x0025; (9/159)</td>
<td align="center" valign="top">(<xref rid="b218-or-55-3-09047" ref-type="bibr">218</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">Independent predictors of pCR: Luminal subtype iTIL (OR=1.44, 95&#x0025; CI 1.08&#x2013;1.9, P=0.013), TNBC subtype sTIL (OR=1.68, 95&#x0025; CI 1.29&#x2013;2.18, P=0.001) and iTIL (OR=1.31, 95&#x0025; CI 1.05&#x2013;1.63, P=0.017).</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="left" valign="top">HER2<sup>&#x002B;</sup> subtype: sTIL and iTIL do not predict pCR.</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ruan <italic>et al</italic>, 2018</td>
<td align="center" valign="top">20 or 10</td>
<td align="left" valign="top">TNBC</td>
<td align="center" valign="top">All</td>
<td align="center" valign="top">166</td>
<td align="center" valign="top">-</td>
<td align="left" valign="top">pCR</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">Univariate logistic regression analysis: sTILs (P=0.0001) and iTILs (P=0.001) are associated with pCR. Multivariate logistic regression analysis: sTILs (P=0.006) and iTILs (P=0.04) independent predictors of pCR ROC curve analysis of TNBCs with &#x003E;20&#x0025; sTILs (P=0.001) or &#x003E;10&#x0025; iTILs (P=0.003) associated with higher pCR rate. Multivariate analysis: 20&#x0025; sTILs (P=0.005) independently predicts pCR</td>
<td align="center" valign="top">(<xref rid="b219-or-55-3-09047" ref-type="bibr">219</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-or-55-3-09047"><p>pCR, pathological complete response; iDFS, invasive disease-free survival; RFS, relapse-free survival; OS, overall survival; HR, hazard ratio; DDFS, degrees of freedom, F-statistic; NAT, neoadjuvant therapy; PD-L1, programmed cell death protein ligand 1; LR, likelihood ratio; PPV, positive predictive value; NPV, negative predictive value; MRIRF, magnetic resonance imaging radiomic feature; HER2BC, human epidermal growth factor receptor 2-enriched breast cancer; CXCL13, C-X-C motif chemokine ligand 13; HEV, high endothelial venule; iTIL, intratumoral TIL; sTIL, stromal TIL; TIL, tumor-infiltrating lymphocytes; TNBC, triple-negative breast cancer. A total of 2,148 TNBC samples were pooled from nine studies (<xref rid="b74-or-55-3-09047" ref-type="bibr">74</xref>). A total of 476 TNBC samples from four centers (<xref rid="b75-or-55-3-09047" ref-type="bibr">75</xref>).</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
