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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2023.5585</article-id>
<article-id pub-id-type="publisher-id">ijo-63-06-05585</article-id>
<article-categories>
<subj-group>
<subject>Review</subject></subj-group></article-categories>
<title-group>
<article-title>Tumor immune microenvironment and the current immunotherapy of cholangiocarcinoma (Review)</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Siqi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Zou</surname><given-names>Ruiqi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Dai</surname><given-names>Yushi</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Yafei</given-names></name></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Fuyu</given-names></name><xref ref-type="corresp" rid="c1-ijo-63-06-05585"/></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hu</surname><given-names>Haijie</given-names></name><xref ref-type="corresp" rid="c1-ijo-63-06-05585"/></contrib>
<aff id="af1-ijo-63-06-05585">Division of Biliary Tract Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China</aff></contrib-group>
<author-notes>
<corresp id="c1-ijo-63-06-05585">Correspondence to: Dr Fuyu Li or Dr Haijie Hu, Division of Biliary Tract Surgery, Department of General Surgery, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, Sichuan 610041, P.R. China, E-mail: <email>lfy_74@hotmail.com</email>, E-mail: <email>hhj1063557621@163.com</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>12</month>
<year>2023</year></pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>10</month>
<year>2023</year></pub-date>
<volume>63</volume>
<issue>6</issue>
<elocation-id>137</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>04</month>
<year>2023</year></date>
<date date-type="accepted">
<day>12</day>
<month>10</month>
<year>2023</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; Yang et al.</copyright-statement>
<copyright-year>2023</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>Cholangiocarcinoma (CCA) is a highly heterogeneous malignancy originating from the epithelial system of the bile ducts, and its incidence in recent years is steadily increasing. The immune microenvironment of CCA is characterized by diversity and complexity, with a substantial presence of cancer-associated fibroblasts and immune cell infiltration, which plays a key role in regulating the distinctive biological behavior of cholangiocarcinoma, including tumor growth, angiogenesis, lymphangiogenesis, invasion and metastasis. Despite the notable success of immunotherapy in the treatment of solid tumors in recent years, patients with CCA have responded poorly to immune checkpoint inhibitor therapy. The interaction of tumor cells with cellular components of the immune microenvironment can regulate the activity and function of immune cells and form an immunosuppressive microenvironment, which may cause ineffective immunotherapy. Therefore, the components of the tumor immune microenvironment appear to be novel targets for immune therapies. Combination therapy focusing on immune checkpoint inhibitors is a promising and valuable first-line or translational treatment approach for intractable biliary tract malignancies. The present review discusses the compositional characteristics and regulatory factors of the CCA immune microenvironment and the possible immune escape mechanisms. In addition, a summary of the advances in immunotherapy for CCA is also provided. It is hoped that the present review may function as a valuable reference for the development of novel immunotherapeutic strategies for CCA.</p></abstract>
<kwd-group>
<kwd>cholangiocarcinoma</kwd>
<kwd>immune microenvironment</kwd>
<kwd>immune checkpoint inhibitor</kwd>
<kwd>immunotherapy</kwd></kwd-group>
<funding-group>
<award-group>
<funding-source>West China Hospital, Sichuan University</funding-source>
<award-id>ZYJC21046</award-id></award-group>
<award-group>
<funding-source>West China Hospital, Sichuan University</funding-source>
<award-id>2021HXFH001</award-id></award-group>
<award-group>
<funding-source>Natural Science Foundation of Sichuan Province</funding-source>
<award-id>2022NSFSC0806</award-id></award-group>
<award-group>
<funding-source>National Natural Science Foundation of China for Young Scientists Fund</funding-source>
<award-id>82203782</award-id></award-group>
<award-group>
<funding-source>Sichuan Science and Technology Program</funding-source>
<award-id>2021YJ0132</award-id>
<award-id>2021YFS0100</award-id></award-group>
<award-group>
<funding-source>China Postdoctoral Science Foundation</funding-source>
<award-id>2021M692277</award-id></award-group>
<award-group>
<funding-source>Sichuan University-Zigong School-local Cooperation project</funding-source>
<award-id>2021CDZG-23</award-id></award-group>
<award-group>
<funding-source>Science and Technology project of the Health planning committee of Sichuan</funding-source>
<award-id>21PJ046</award-id></award-group>
<award-group>
<funding-source>Post-Doctor Research Project, West China Hospital, Sichuan University</funding-source>
<award-id>2021HXBH127</award-id></award-group>
<funding-statement>The present study was supported by the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (grant no. ZYJC21046); the 1.3.5 project for disciplines of excellence-Clinical Research Incubation Project, West China Hospital, Sichuan University (grant no. 2021HXFH001); the Natural Science Foundation of Sichuan Province (grant no. 2022NSFSC0806); the National Natural Science Foundation of China for Young Scientists Fund (grant no. 82203782), Sichuan Science and Technology Program (grant nos. 2021YJ0132 and 2021YFS0100); the fellowship of China Postdoctoral Science Foundation (grant no. 2021M692277); the Sichuan University-Zigong School-local Cooperation project (grant no. 2021CDZG-23); the Science and Technology project of the Health planning committee of Sichuan (21PJ046); and the Post-Doctor Research Project, West China Hospital, Sichuan University (grant no. 2021HXBH127).</funding-statement></funding-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>1. Introduction</title>
<p>Cholangiocarcinoma (CCA) originates from the bile duct epithelium and is the second most common malignant tumor of the hepatobiliary system, which accounts for ~3% of all digestive tract tumors. CCA is characterized by a specific anatomical position, insidious clinical symptoms and an early tendency for neural-vascular invasion and lymph node metastases. Therefore, the majority of patients are diagnosed at an advanced stage with either locally advanced tumors or distant metastases, precluding them from undergoing surgical intervention. While a minority of patients may qualify for surgical resection, the disease often exhibits a propensity for recurrence and metastasis even after radical surgery. Furthermore, the 5-year survival rate of patients remains dismally low, at &lt;10%, accompanied by a staggering 1-year recurrence rate of ~60% (<xref rid="b1-ijo-63-06-05585" ref-type="bibr">1</xref>-<xref rid="b3-ijo-63-06-05585" ref-type="bibr">3</xref>). Additionally, CCA has exhibited resistance to systemic therapies, such as chemotherapy and targeted treatments. Consequently, there is an urgent need for the development of innovative treatment approaches.</p>
<p>The progress in cancer immunology holds significant promise for the development of novel treatment approaches for CCA. Recent studies have revealed a close association between the majority of CCA cases and the biliary system, which is characterized by persistent, long-term chronic inflammation. The tumor immune microenvironment (TIME) refers to the spatial organization and abundance of immune cells, which play a pivotal role in tumorigenesis and development. The TIME of CCA is characterized by significant interstitial fibrosis and infiltration of abundant cancer-associated fibroblasts (CAFs), as well as pro-cancer and pro-inflammatory immune cells, such as tumor-associated macrophages (TAMs), tumor-associated neutrophils (TANs) and tumor-infiltrating lymphocytes (TILs). Through interactions with tumor cells, these immune cells play a crucial role in regulating specific biological behaviors of CCA, including tumor growth, angiogenesis, lymphangiogenesis, invasion and metastasis (<xref rid="b4-ijo-63-06-05585" ref-type="bibr">4</xref>). Additionally, these immune cells have the potential to serve as prognostic factors associated with the clinical outcomes of patients with CCA (<xref rid="b5-ijo-63-06-05585" ref-type="bibr">5</xref>,<xref rid="b6-ijo-63-06-05585" ref-type="bibr">6</xref>).</p>
<p>Cancer immunoediting is founded on the concept that the immune system has the dual capacity to suppress tumor growth and alter tumor immunogenicity. This concept encapsulates the dynamic interactions between the immune system and tumors throughout various stages, which can be delineated into three successive phases: Elimination, equilibrium and escape (<xref rid="b7-ijo-63-06-05585" ref-type="bibr">7</xref>,<xref rid="b8-ijo-63-06-05585" ref-type="bibr">8</xref>). In the elimination phase, the innate and adaptive immune systems cooperate to eradicate tumor cells, rendering the tumor undetectable. However, in the event that certain subclonal tumor cells succeed in evading the cytotoxic effects of the immune system, they progress to the following phase. The equilibrium phase represents the efforts of the adaptive immune system to modify the immunogenicity of tumor cells, allowing them to evade immune surveillance and avoid destruction. It is important to note that at this stage, the growth of tumor cells is restricted or may even come to a halt. These immunogenically reduced (immuno-edited) tumor cells then progress to the escape phase, where they exhibit typical tumor characteristics, such as unlimited growth and can be detected through clinical means. Cancer immunoediting is characterized by the recognition of antigens expressed by tumor cells by T-cells, which can lead to either the death of tumor cells or a reduction in their immunogenicity. As a result, T-cells play a predominant role in cancer immunoediting (<xref rid="b9-ijo-63-06-05585" ref-type="bibr">9</xref>). During all stages of cancer immunoediting, the components of the TIME interact with each other, which may impact or inhibit the activation and/or function of T-cells and eventually influence their antitumor effects. The TIME plays a crucial role in the cancer immunoediting process, with its components actively participating in all stages of cancer immunoediting.</p>
<p>With the application of immunotherapy in solid tumors, immune-mediated primary or adjuvant therapy is increasingly recognized as having immense potential in CCA, which functions by enhancing the immune response against tumors, involving both innate and adaptive immune cells. The inhibition of signaling pathways mediated by immune checkpoints has been proposed as a potential therapeutic strategy for CCA. Based on this premise, immune checkpoint inhibitors (ICIs) have been widely used in patients with CCA and have shown promising results for the treatment of CCA (<xref rid="b10-ijo-63-06-05585" ref-type="bibr">10</xref>-<xref rid="b12-ijo-63-06-05585" ref-type="bibr">12</xref>). However, the response rate to immunotherapy is relatively low, and only a small portion of patients can benefit from it. Mounting evidence has indicated a connection between the TIME and the response to immunotherapy, and the failure of immunotherapy may be partially attributed to the high heterogeneity and intricate TIME of CCA.</p>
<p>The present review aimed to provide insight into the compositional characteristics and regulatory factors governing the TIME of CCA, shedding light on possible immune escape mechanisms. Furthermore, the recent advances in immunotherapy for CCA are summarized. The aim of the present review was to provide a valuable reference point for the development of innovative immunotherapeutic strategies tailored to the unique challenges posed by CCA.</p></sec>
<sec sec-type="other">
<title>2. Tumor immune microenvironment of cholangiocarcinoma</title>
<sec>
<title>CAFs</title>
<p>CAFs are activated myofibroblasts and are characterized by the expression of &#x003B1;-smooth muscle (&#x003B1;-SMA) actin and Tenascin C protein (<xref rid="b13-ijo-63-06-05585" ref-type="bibr">13</xref>,<xref rid="b14-ijo-63-06-05585" ref-type="bibr">14</xref>). They constitute the primary cell population responsible for the fibrotic stroma in CCA. Current evidence suggests that CAFs are a heterogeneous group of cells derived from various lineages, including pericytes, mesenchymal stem cells, adipocytes, liver resident hepatic stellate cells (HSCs), portal fibroblasts and bone marrow-derived precursor cells (<xref rid="b15-ijo-63-06-05585" ref-type="bibr">15</xref>-<xref rid="b17-ijo-63-06-05585" ref-type="bibr">17</xref>). In the study by Affo <italic>et al</italic> (<xref rid="b18-ijo-63-06-05585" ref-type="bibr">18</xref>), it was demonstrated that HSCs are a major source of CAFs, and among the CAF subpopulations, HSC-derived CAFs engage in the most significant ligand-receptor interactions with CCA cells. CAFs influence tumor progression by tumor extracellular matrix (ECM) remodulation, and by interacting with tumor cells and immune cells. In previous study using a syngeneic orthotopic rat model of CCA, the induction of CAF apoptosis using the BH3 mimetic navitoclax resulted in reduced primary tumor growth, as well as in the inhibition of tumor lymphatic vascularization, regional lymph node metastases and peritoneum metastases (<xref rid="b19-ijo-63-06-05585" ref-type="bibr">19</xref>). HSC-derived CAFs can trigger the secretion of hepatocyte growth factor (HGF) from inflammatory CAFs. This process occurs through a direct interaction involving the HSC-CAF-tumor pathway, which subsequently promotes the proliferation of intrahepatic CCA (iCCA) cells by means of mesenchymal-epithelial transition (MET) factor expressed by the tumor (<xref rid="b18-ijo-63-06-05585" ref-type="bibr">18</xref>). Furthermore, it has been reported that high expression of &#x003B1;-SMA is associated with poor survival outcomes in patients with CCA (<xref rid="b20-ijo-63-06-05585" ref-type="bibr">20</xref>,<xref rid="b21-ijo-63-06-05585" ref-type="bibr">21</xref>).</p>
<p>CAFs secrete various soluble cytokines, including HGF, transforming growth factor &#x003B2;1 (TGF-&#x003B2;1), epidermal growth factor (EGF), connective tissue growth factor and stromal cell-derived factor-1 (SDF-1), which can enhance the malignant phenotype of CCA cells (<xref rid="b22-ijo-63-06-05585" ref-type="bibr">22</xref>). Heparin-binding EGF, released by CAFs, interacts with EGF receptor (EGFR) on the plasma membrane of CCA cells to activate EGFR. This activation, in turn, stimulates ERK1/2 and STAT3, leading to the nuclear translocation of &#x003B2;-catenin and disruption of the adherens junction complexes with E-cadherin internalization. The nuclear translocation of &#x003B2;-catenin triggers a transcriptional program that promotes tumor progression (<xref rid="b23-ijo-63-06-05585" ref-type="bibr">23</xref>). Additionally, it has been demonstrated that the disruption of E-cadherin-mediated adherens junctions leads to epithelial-to-mesenchymal transition (EMT), a cellular process strongly associated with cancer progression (<xref rid="b24-ijo-63-06-05585" ref-type="bibr">24</xref>). A previous study proved that SDF-1 (also known as CXCL12) released by WI-38 fibroblasts promoted iCCA cell migration (<xref rid="b25-ijo-63-06-05585" ref-type="bibr">25</xref>). CAF-derived SDF-1 binds to the C-X-C chemokine receptor (CXCR)4 on CCA cells in a paracrine manner, stimulating ERK1/2 and AKT signaling to increase the invasive ability of CCA (<xref rid="b26-ijo-63-06-05585" ref-type="bibr">26</xref>). A recent study divided CAFs into inflammatory and growth factor-enriched and myofibroblastic (myCAF) subpopulations, which exhibited different ligand-receptor interactions (<xref rid="b18-ijo-63-06-05585" ref-type="bibr">18</xref>). myCAFs synthesize and secrete hyaluronan synthase 2 (Has2) after interacting with CCA cells. Has2 exerts pro-tumorigenic effects via binding to non-tumor cells or receptors other than CD44. Therefore, myCAFs promote tumor growth through Has2, but not type I collagen (<xref rid="b18-ijo-63-06-05585" ref-type="bibr">18</xref>). In addition, hyaluronan (HA) is associated with tumor promotion, treatment resistance and a poor prognosis in pancreatic, head and neck, colorectal, gastric and liver cancer (<xref rid="b27-ijo-63-06-05585" ref-type="bibr">27</xref>). The molecular size and degradation of HA are also factors in its bioactivity; high-molecular-weight HA is considered to be antitumorigenic, whereas low-molecular-weight HA is pro-inflammatory and tumor-promoting (<xref rid="b28-ijo-63-06-05585" ref-type="bibr">28</xref>,<xref rid="b29-ijo-63-06-05585" ref-type="bibr">29</xref>). Furthermore, vascular CAFs express high levels of interleukin (IL)-6, leading to notable changes in the epigenetics of iCCA cells. These alterations notably include the increased expression of enhancer of zeste homolog 2, consequently intensifying the malignancy of the tumor cells (<xref rid="b30-ijo-63-06-05585" ref-type="bibr">30</xref>).</p>
<p>CCA cells recruit and activate fibroblasts or precursor cells of myofibroblasts via platelet-derived growth factor (PDGF)-D and TGF-&#x003B2;1. PDGF-D released by CCA cells contributes to fibroblast aggregation (<xref rid="b31-ijo-63-06-05585" ref-type="bibr">31</xref>). In turn, the binding of CAF-secreted PDGF-BB to PDGFR&#x003B2; in CCA cells decreases the susceptibility of CCA cells to tumor necrosis factor (TNF)-&#x003B1;-related apoptosis-inducing ligand, inducing tumor growth and metastasis (<xref rid="b32-ijo-63-06-05585" ref-type="bibr">32</xref>). In addition, PDGF-D can stimulate fibroblast to secrete vascular endothelial growth factor (VEGF)-A and VEGF-C that increase the markedly generation of tumor lymphangiogenesis and lead to the invasion of tumor cells in lymphatic vessels (<xref rid="b33-ijo-63-06-05585" ref-type="bibr">33</xref>). Therefore, interacting paracrine loops exist between CAFs and CCA cells, establishing a bidirectional reinforcing relationship (<xref rid="f1-ijo-63-06-05585" ref-type="fig">Fig. 1</xref>).</p>
<p>CAFs can secrete major ECM components, such as periostin (PN) and various matrix metalloproteinases (MMPs) (<xref rid="b22-ijo-63-06-05585" ref-type="bibr">22</xref>). PN can interact with components, such as collagen type I, Tenascin C and integrins (<xref rid="b34-ijo-63-06-05585" ref-type="bibr">34</xref>). Previous studies have highlighted that when PN combines with integrins, it activates various signaling pathways, influencing downstream molecules, and thereby contributing to tumor progression (<xref rid="b35-ijo-63-06-05585" ref-type="bibr">35</xref>-<xref rid="b38-ijo-63-06-05585" ref-type="bibr">38</xref>). In the context of CCA, PN has been shown to enhance invasion through the ITG&#x003B1;5&#x003B2;1/PI3K/AKT pathway (<xref rid="b39-ijo-63-06-05585" ref-type="bibr">39</xref>). Furthermore, it induces EMT, promoting CCA migration, primarily through the integrin &#x003B1;5&#x003B2;1/TWIST-2 axis (<xref rid="b40-ijo-63-06-05585" ref-type="bibr">40</xref>). MMPs play a crucial role in degrading and remodeling the ECM, thereby contributing to tumor progression. Among these MMPs, CAFs have been shown to produce MMP1, MMP2, MMP3 and MMP9, all of which collectively increase tumor aggressiveness (<xref rid="b41-ijo-63-06-05585" ref-type="bibr">41</xref>).</p></sec>
<sec>
<title>Innate immune cells</title>
<sec>
<title>Macrophages</title>
<p>Macrophages play a pivotal role in regulating tumor cell proliferation and progression by releasing various inflammatory factors and cytokines. Notably, they are the most commonly encountered immune infiltrating cells within the tumor microenvironment. Of particular concern in CCA is the presence of high levels of M2 macrophages, which have been shown to be strongly associated with carcinogenesis and poor outcomes in with CCA, as evidenced by prior studies (<xref rid="b42-ijo-63-06-05585" ref-type="bibr">42</xref>-<xref rid="b44-ijo-63-06-05585" ref-type="bibr">44</xref>). TAMs, a subtype of M2 macrophages, exert potent pro-tumor effects. The shift of macrophages toward this alternative M2 phenotype is primarily orchestrated by the actions of specific signaling pathways, notably involving IL6/STAT3 and PCAT6/miR-326/RohA pathway (<xref rid="b43-ijo-63-06-05585" ref-type="bibr">43</xref>,<xref rid="b45-ijo-63-06-05585" ref-type="bibr">45</xref>). Notably, Kitano <italic>et al</italic> demonstrated an association between TAM infiltration, increased levels of Tregs and TANs, and a poor recurrence-free survival (RFS) (<xref rid="b46-ijo-63-06-05585" ref-type="bibr">46</xref>). TAMs participate in remodeling the ECM via secretion of MMPs and the release IL-4, IL-8, IL-10, chemokine ligand (CCL)2, CCL22 and CCL17 to recruit immunosuppressive cells, such as TANs, myeloid-derived suppressor cells (MDSCs) and regulatory T-cells (Tregs), to form the suppressive immune microenvironment (<xref rid="b47-ijo-63-06-05585" ref-type="bibr">47</xref>).</p>
<p>TAMs play a multifaceted role in promoting tumorigenesis and can exert their tumor-promoting effects by interacting with CCA cells and TANs (<xref rid="f2-ijo-63-06-05585" ref-type="fig">Fig. 2</xref>). CCA cells can produce IL-6 and TGF-&#x003B2;, which are involved in the activation of TAMs. In a reciprocal interaction, TAMs release significant amounts of IL-10, which, can activate the STAT3 pathway in CCA cells. This activation, in turn, enhances the migration and invasion of tumor cells, largely through the process of EMT (<xref rid="b48-ijo-63-06-05585" ref-type="bibr">48</xref>). Additionally, activated TAMs are capable of producing molecules, including VEGF-A, angiopoietin, IL-8, cyclooxygenase-2 and inducible nitric oxide synthase, to promote tumor angiogenesis (<xref rid="b43-ijo-63-06-05585" ref-type="bibr">43</xref>,<xref rid="b49-ijo-63-06-05585" ref-type="bibr">49</xref>). Furthermore, CCA cells express certain Wnt ligands, including Wnt3, Wnt5a, and Wnt7b, which have the capability to recruit and activate TAMs. Subsequently, TAMs release Wnt, which in turn stimulates the Wnt/&#x003B2;-catenin pathway, leading to increased tumor cell proliferation (<xref rid="b50-ijo-63-06-05585" ref-type="bibr">50</xref>,<xref rid="b51-ijo-63-06-05585" ref-type="bibr">51</xref>). Moreover, <italic>in vitro</italic> experiments involving the inhibition of Wnt signaling using a Wnt inhibitor have revealed a significant reduction in CCA proliferation and an increase in apoptosis. These effects have been observed in mouse and rat models of CCA, ultimately resulting in tumor regression (<xref rid="b52-ijo-63-06-05585" ref-type="bibr">52</xref>). TAMs secret IL-6 to promote the activation of TANs and CCA cells can express epithelial-derived neutrophil-activating peptide-78 (ENA-78) to recruit TANs mediated by the PI3K-AKT and ERK1/2 signaling pathways (<xref rid="b53-ijo-63-06-05585" ref-type="bibr">53</xref>). The interaction between TANs and TAMs leads to the production of oncostatin M (OSM) and IL-11 by TANs and TAMs, respectively. Both OSM and IL-11 have been found to stimulate the STAT3 pathway in CCA cells, resulting in increased tumor cell proliferation and invasion. Of note, when STAT3 is knocked down, it mitigates the pro-tumor effects of TANs and TAMs in iCCA (<xref rid="b54-ijo-63-06-05585" ref-type="bibr">54</xref>).</p></sec>
<sec>
<title>TANs</title>
<p>The role of TANs in tumorigenesis and development is still under investigation. TANs are likely to assume the N2 subtype, which is distinct from N1 neutrophils that are activated in normal tissue (<xref rid="b55-ijo-63-06-05585" ref-type="bibr">55</xref>,<xref rid="b56-ijo-63-06-05585" ref-type="bibr">56</xref>). The activation of the N2 subtype neutrophils is mainly induced by TGF-&#x003B2; and granulocyte colony-stimulating factor (CSF) (<xref rid="b57-ijo-63-06-05585" ref-type="bibr">57</xref>). Activated N2 neutrophils can release various growth factors, enzymes and cytokines to promote tumor growth, shape the TIME and stimulate angiogenesis (<xref rid="b58-ijo-63-06-05585" ref-type="bibr">58</xref>). The high level of TAN infiltration tends to be associated with a poor prognosis, as it is related to decreased overall survival (OS) and RFS of patients with CCA (<xref rid="b46-ijo-63-06-05585" ref-type="bibr">46</xref>,<xref rid="b59-ijo-63-06-05585" ref-type="bibr">59</xref>). However, a recent study proposed a contrasting view, suggesting that patients with biliary tract cancer (BTC) with a higher neutrophil infiltration exhibit an improved prognosis (<xref rid="b60-ijo-63-06-05585" ref-type="bibr">60</xref>). Owing to the limited amount of evidence and the conflicting findings, it remains challenging to arrive at a definitive conclusion regarding the prognostic significance of TAN infiltration. High levels of TAN infiltration have been shown to promote the growth and invasion of tumors <italic>in vivo</italic>, although they do not appear to alter the <italic>in vitro</italic> proliferative and invasive abilities of iCCA cells (<xref rid="b53-ijo-63-06-05585" ref-type="bibr">53</xref>).</p></sec>
<sec>
<title>MDSCs</title>
<p>MDSCs are a group of heterogeneous immune cells which exert potent immunosuppressive effects that can inhibit various immune cell activities. Chronic inflammation functions as a stimulus for MDSCs, prompting them to synthesize molecules such as arginase, reactive oxygen species, inducible nitric oxide synthase and indoleamine 2,3-dioxygenase. Furthermore, MDSCs release immunosuppressive factors, such as TGF-&#x003B2; and IL, which act to curtail the function of cytotoxic T-lymphocytes, natural killer (NK) cells and their respective subpopulations, thereby achieving a state of immunosuppression (<xref rid="b61-ijo-63-06-05585" ref-type="bibr">61</xref>). The accumulation of MDSCs in the TIME has been linked to heightened immune evasion and increased resistance to immunotherapy in various types of cancers (<xref rid="b62-ijo-63-06-05585" ref-type="bibr">62</xref>,<xref rid="b63-ijo-63-06-05585" ref-type="bibr">63</xref>). Studies on primary hepatocellular carcinoma (HCC) have shown that MDSCs play a role in promoting the development of Tregs, the inactivation of CD8<sup>+</sup> T-cells, and the suppression of the cytotoxic activity of NK cells. Furthermore, elevated levels of mononuclear MDSCs in the peripheral blood have been shown to be associated with the poor OS of patients with HCC (<xref rid="b64-ijo-63-06-05585" ref-type="bibr">64</xref>). Nevertheless, the precise functions of MDSCs in the context of CCA remain incompletely understood. Recent research has indicated that the gut microbiome can induce the accumulation of CXCR2<sup>+</sup> polymorphonuclear MDSCs through TLR4-dependent CXCL1 production, thus facilitating the establishment of an immunosuppressive environment that promotes CCA progression (<xref rid="b65-ijo-63-06-05585" ref-type="bibr">65</xref>). The level of CD33<sup>+</sup> MDSCs in the blood and tumor tissues of patients with iCCA has been found to be increased and to be associated with a poor clinical outcome (<xref rid="b66-ijo-63-06-05585" ref-type="bibr">66</xref>). The relevance between CAFs and MDSCs has been brought to light. Specifically, CAFs have been found to secrete IL-6 and IL-33, which in turn stimulate MDSCs to upregulate the expression of 5-lipoxygenase (5-LO). Notably, one of the metabolites of 5-LO, known as LTB4, has been shown to activate the PI3K/Akt-mTORC1 signaling pathway in iCCA cells through the interaction with BLT2. This activation ultimately contributes to the promotion of cancer stemness in iCCA (<xref rid="b66-ijo-63-06-05585" ref-type="bibr">66</xref>). Additionally, Loeuillard <italic>et al</italic> (<xref rid="b67-ijo-63-06-05585" ref-type="bibr">67</xref>) highlighted the significance of the interaction between TAMs and MDSCs. They identified an abundance of programmed death ligand 1 (PD-L1)-positive TAMs in both human CCA samples and CCA mouse models. Elevated levels of PD-L1<sup>+</sup> TAMs were associated with an enhanced cancer progression. However, attempts to block TAMs alone have not effectively reduced CCA tumor burden (<xref rid="b67-ijo-63-06-05585" ref-type="bibr">67</xref>). This lack of a response may be attributed to the compensatory accumulation of granulocyte MDSCs (G-MDSCs), which impair the T-cell response and induce immune evasion. Notably, the simultaneous inhibition of G-MDSCs and TAMs has shown promise in enhancing the efficacy of anti-PD-1 therapy for CCA (<xref rid="b67-ijo-63-06-05585" ref-type="bibr">67</xref>). Collectively, that study underscored the role of MDSCs as mediators that collaborate with other components within the CCA TIME to promote tumor progression (<xref rid="b67-ijo-63-06-05585" ref-type="bibr">67</xref>).</p></sec>
<sec>
<title>NK cells</title>
<p>NK cells are known for their potent antitumor activity, as they possess the ability to induce tumor cell apoptosis directly by releasing molecules, such as perforin, cytotoxic factors and TNF (<xref rid="b68-ijo-63-06-05585" ref-type="bibr">68</xref>). Previous findings have suggested that enhancing NK cell function or increasing the numbers of NK cells delays CCA progression, which may be a potential therapeutic target for CCA. Anti-Globo H antibody VK9 can enhance the activation and increase the presence of NK cells in the TIME, resulting in the inhibition of iCCA rat tumor growth (<xref rid="b69-ijo-63-06-05585" ref-type="bibr">69</xref>). <italic>In vitro</italic> studies have demonstrated that the cytotoxic effect of activated NK cells on CCA cell lines may be augmented by cetuximab and cordycepin, effectively restraining CCA cell growth (<xref rid="b70-ijo-63-06-05585" ref-type="bibr">70</xref>,<xref rid="b71-ijo-63-06-05585" ref-type="bibr">71</xref>). Additionally, in a xenograft mouse model of CCA, the transplantation of <italic>ex vivo</italic>-expanded human NK cells has been found to inhibit tumor growth (<xref rid="b72-ijo-63-06-05585" ref-type="bibr">72</xref>). Fukuda <italic>et al</italic> (<xref rid="b73-ijo-63-06-05585" ref-type="bibr">73</xref>) observed that low numbers of tumor-infiltrating NK, cells regulated by endogenous CXCL9, were associated with a large tumor size and the poor survival of iCCA (<xref rid="b73-ijo-63-06-05585" ref-type="bibr">73</xref>). The activating receptor natural-killer group 2D (NKG2D), predominantly expressed on NK cells, holds promise as a therapeutic target. A high expression of the NKG2D receptor in patients with CCA has been linked to an improved prognosis (<xref rid="b74-ijo-63-06-05585" ref-type="bibr">74</xref>). Moreover, it is worth noting that variations in NKG2D have been found to be associated with bile duct tumorigenesis in patients with primary sclerosing cholangitis (<xref rid="b75-ijo-63-06-05585" ref-type="bibr">75</xref>).</p></sec></sec>
<sec>
<title>Adaptive immune cells</title>
<sec>
<title>TILs</title>
<p>The adaptive immune system is the predominant defense system against tumors. The major components of the adaptive immune system in the CCA TIME are TILs, including B-lymphocytes, CD4<sup>+</sup> helper T-lymphocytes, CD8<sup>+</sup> cytotoxic T-cells and Tregs. While various studies have examined the spatial distribution of TILs in CCA tissue (<xref rid="b49-ijo-63-06-05585" ref-type="bibr">49</xref>,<xref rid="b76-ijo-63-06-05585" ref-type="bibr">76</xref>,<xref rid="b77-ijo-63-06-05585" ref-type="bibr">77</xref>), it remains a topic of debate and discussion. According to the current literature, it appears that CD3<sup>+</sup>, CD4<sup>+</sup> and CD8<sup>+</sup> T-cells predominantly reside in the peritumoral region, regardless of the CCA subtype. However, as for Foxp3<sup>+</sup> T-cells and B-cells, the exact distribution location has not been definitively determined (<xref rid="b6-ijo-63-06-05585" ref-type="bibr">6</xref>). Recent studies have demonstrated that Foxp3<sup>+</sup> T-cells have been observed to accumulate in the tumor border area (<xref rid="b76-ijo-63-06-05585" ref-type="bibr">76</xref>,<xref rid="b77-ijo-63-06-05585" ref-type="bibr">77</xref>). Another previous study indicated that Foxp3<sup>+</sup> T-cells were distributed in the intratumoral area (<xref rid="b78-ijo-63-06-05585" ref-type="bibr">78</xref>), while another study failed to found the distribution difference of Foxp3<sup>+</sup> T-cells (<xref rid="b79-ijo-63-06-05585" ref-type="bibr">79</xref>). In the case of B-cells, two separate studies have reported their presence in the peritumoral area (<xref rid="b78-ijo-63-06-05585" ref-type="bibr">78</xref>,<xref rid="b80-ijo-63-06-05585" ref-type="bibr">80</xref>). These varying observations regarding the distribution of Foxp3<sup>+</sup> T-cells and B-cells may be attributed to distinct contexts or factors, warranting further investigation for a comprehensive understanding. The potential association between TILs and various signaling pathways in tumor promotion has been revealed by numerous studies. Recent research has demonstrated that a low abundance of tissue-resident memory T-cells is associated with a significantly increased expression of genes related to the Wnt/&#x003B2;-catenin and TGF-&#x003B2; signaling pathways (<xref rid="b81-ijo-63-06-05585" ref-type="bibr">81</xref>). Carnevale <italic>et al</italic> (<xref rid="b82-ijo-63-06-05585" ref-type="bibr">82</xref>) made an intriguing discovery where the expression of cellular FADD-like IL-1&#x003B2;-converting enzyme-inhibitory protein in iCCA cells significantly increased following co-culture with human peripheral blood mononuclear cells. This led to the activation of the Fas/FasL pathway, inducing the apoptosis of T-cells and NK cells, ultimately resulting in tumor immune escape (<xref rid="b82-ijo-63-06-05585" ref-type="bibr">82</xref>). Another study highlighted the significance of the B7-H1/PD-1 signaling pathways in the induction of CD8<sup>+</sup> TIL apoptosis and the inhibition of antitumor immune responses (<xref rid="b83-ijo-63-06-05585" ref-type="bibr">83</xref>). Isocitrate dehydrogenase 1 mutations drive the activation of interferon &#x003B3; (IFN-&#x003B3;)-responsive genes in iCCA cells through a TET2-dependent mechanism. This occurs by impeding the recruitment of activated CD8<sup>+</sup> T-cells and the expression of IFN-&#x003B3; (<xref rid="b84-ijo-63-06-05585" ref-type="bibr">84</xref>).</p>
<p>It has been proven that the number or density of TILs in the TIME of CCA affects prognosis. High levels of CD8<sup>+</sup> T-cells have consistently been associated with an improved survival and reduced invasion into surrounding tissues in several studies (<xref rid="b76-ijo-63-06-05585" ref-type="bibr">76</xref>,<xref rid="b78-ijo-63-06-05585" ref-type="bibr">78</xref>,<xref rid="b85-ijo-63-06-05585" ref-type="bibr">85</xref>,<xref rid="b86-ijo-63-06-05585" ref-type="bibr">86</xref>). A substantial infiltration of CD4<sup>+</sup> T-cells has similarly been linked to a favorable OS and RFS (<xref rid="b77-ijo-63-06-05585" ref-type="bibr">77</xref>,<xref rid="b78-ijo-63-06-05585" ref-type="bibr">78</xref>). Foxp3<sup>+</sup> T cell infiltration, however, has generated mixed results in terms of prognosis. While the majority of studies suggest that it is associated with a poor prognosis of patients with CCA (<xref rid="b49-ijo-63-06-05585" ref-type="bibr">49</xref>,<xref rid="b76-ijo-63-06-05585" ref-type="bibr">76</xref>,<xref rid="b87-ijo-63-06-05585" ref-type="bibr">87</xref>), Goeppert <italic>et al</italic> (<xref rid="b78-ijo-63-06-05585" ref-type="bibr">78</xref>) indicated that patients with Foxp3<sup>+</sup> T cell infiltration experience improved outcomes. Thus, the prognostic value of Foxp3<sup>+</sup> T-cells remains uncertain, necessitating further studies to clarify their specific impact on long-term results. Current studies have revealed that patients with CCA benefited from high levels of B-cell infiltration (<xref rid="b78-ijo-63-06-05585" ref-type="bibr">78</xref>,<xref rid="b88-ijo-63-06-05585" ref-type="bibr">88</xref>). Nevertheless, due to limited available evidence, the association between B-cells and the prognosis of patients with CCA also warrants further investigation through additional research.</p>
<p>Of note, Tregs play an essential role in establishing the suppressive TIME (<xref rid="f3-ijo-63-06-05585" ref-type="fig">Fig. 3</xref>). Tregs are the major immune cells in the TIME of advanced-stage cancer, overexpressing FoxP3 and cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4) (<xref rid="b89-ijo-63-06-05585" ref-type="bibr">89</xref>-<xref rid="b91-ijo-63-06-05585" ref-type="bibr">91</xref>). The transcription factor Forkhead box M1 has been shown to increase FoxP3 expression, leading to the recruitment of Tregs. This recruitment attenuates the killing ability of CD8<sup>+</sup> T-cells on iCCA cells, contributing to immune escape and the progression of CCA (<xref rid="b92-ijo-63-06-05585" ref-type="bibr">92</xref>). Recent studies have shown that Tregs can adapt to the glucose-depleted tumor microenvironment by shifting their glucose metabolism to fatty acid metabolism, allowing them to survive in the TIME (<xref rid="b93-ijo-63-06-05585" ref-type="bibr">93</xref>). The activation of the EGFR/PI3K/Akt signaling pathway, triggered by mucin protein 1 (MUC1), induces the enrichment of Tregs to bolster the malignant phenotypes, including tumor growth and metastasis (<xref rid="b94-ijo-63-06-05585" ref-type="bibr">94</xref>). Moreover, natural Treg-like CD4<sup>+</sup>CD25<sup>&#x02212;</sup> cells activated by CCA cells can produce numerous TGF-&#x003B2;, and elevated levels of TGF-&#x003B2; downregulate the expression of miR-29a, which, in turn, suppresses antitumor immune responses and eventually causes adverse clinical outcomes (<xref rid="b95-ijo-63-06-05585" ref-type="bibr">95</xref>).</p></sec>
<sec>
<title>Dendritic cells (DCs)</title>
<p>DCs are essential components of the immune system, functioning as professional antigen-presenting cells (APCs) that bridge innate and adaptive immune responses. Their presence in tumor tissues can trigger robust antitumor immune responses, potentially improving cancer patient outcomes. The abundance of DCs in the peripheral blood of patients is significantly decreased compared to healthy individuals (<xref rid="b96-ijo-63-06-05585" ref-type="bibr">96</xref>). It has been shown that patients with a higher number of DCs infiltrating the tumor margin experience a lower rate of lymph node metastasis and better prognosis (<xref rid="b97-ijo-63-06-05585" ref-type="bibr">97</xref>). DCs may affect the number of TILs within the TIME. Junking <italic>et al</italic> (<xref rid="b98-ijo-63-06-05585" ref-type="bibr">98</xref>) found that DCs pulsed by CCA cells induced the differentiation of PBMCs into DCs. This process increased and activated CD3<sup>+</sup> CD8<sup>+</sup> T-cells, empowering them to induce tumor cell apoptosis (<xref rid="b98-ijo-63-06-05585" ref-type="bibr">98</xref>). DCs generated by the stimulation of CCA cells can utilize activated lymphocytes as anti-CCA effector cells. IL-12 and TGF-&#x003B2; in TIME can impair the functions of DCs. The application of specific neutralizing antibodies that block the IL-10 and TGF-&#x003B2; receptors on DCs, or the knockdown of TGF-&#x003B2;RII and IL-10RA mRNA, has been shown to enhance the performance of effector T-cells (<xref rid="b99-ijo-63-06-05585" ref-type="bibr">99</xref>,<xref rid="b100-ijo-63-06-05585" ref-type="bibr">100</xref>). Sung <italic>et al</italic> (<xref rid="b101-ijo-63-06-05585" ref-type="bibr">101</xref>) discovered that ABL501, a bispecific antibody targeting lymphocyte-activation gene 3 (LAG-3) and PD-L1, induced CD8<sup>+</sup> T-cell activation by promoting DC maturation. This activation ultimately amplifies the cytotoxic effects of CD8<sup>+</sup> T-cells against tumor cells (<xref rid="b101-ijo-63-06-05585" ref-type="bibr">101</xref>). CTLA-4 is a transmembrane protein encoded by the CTLA-4 gene as well as a homologous protein of CD28, which is expressed in activated CD4<sup>+</sup> and CD8<sup>+</sup> T-cells (<xref rid="b102-ijo-63-06-05585" ref-type="bibr">102</xref>), which presents with higher affinity competes with CD28 for binding to B7 (CD80/86) to impair T-cells. Mature DCs have been demonstrated to significantly release CTLA-4 into the extracellular compartment by vesicular transport, which can inhibit the antibody binding of B7, eventually resulting in the dysfunction of T-cells (<xref rid="b103-ijo-63-06-05585" ref-type="bibr">103</xref>). In addition, the activation of the CD40/CD40L pathway can enhance the function of DCs and induce cytotoxic effects to CCA cell (<xref rid="b104-ijo-63-06-05585" ref-type="bibr">104</xref>). CD40/CD40L is significantly involved in the maturation, proliferation and survival of DCs, which were triggered by activating p38 MAPK, PI3K-Akt and NF-&#x003BA;B pathways (<xref rid="b105-ijo-63-06-05585" ref-type="bibr">105</xref>). In addition, CD40 signaling triggered the expression of Bcl2l1 to reduce the caspase activation and apoptosis, eventually contributing to maintaining classical type 1 DCs survival during the initiation of anti-tumor immune responses (<xref rid="b106-ijo-63-06-05585" ref-type="bibr">106</xref>). The signaling pathways associated with DCs exerting antitumor effects are summarized in <xref ref-type="supplementary-material" rid="SD1-ijo-63-06-05585">Table SI</xref>. In summary, these findings underscore the potential of DC-based immunotherapies as promising approaches for improving outcomes in the context of CCA treatment.</p></sec></sec></sec>
<sec sec-type="other">
<title>3. Immune escape of cholangiocarcinoma</title>
<p>Evading immune surveillance is one of the features of tumor cells. Although CCA cells express immunogenic tumor-associated antigens (TAAs), the body generates immunosuppressive signals that effectively neutralize the tumor-killing effect. CCA cells employ a strategy of recruiting immunosuppressive cells by releasing factors, such as TGF-&#x003B2; and IL-10. These recruited cells not only enhance tumor activity, but also contribute to the formation of an immunosuppressive TIME, effectively hindering the antitumor immune response. To counter this immunosuppression, inhibiting IL-10 and TGF-&#x003B2; or downregulating their expression could significantly amplify the cytolytic activity of effector T-cells, potentially reinvigorating the immune response against the tumor (<xref rid="b99-ijo-63-06-05585" ref-type="bibr">99</xref>,<xref rid="b100-ijo-63-06-05585" ref-type="bibr">100</xref>). The intricate interaction between these immunosuppressive cells grants CCA the ability to acquire and deploy immunosuppressive mechanisms (<xref rid="b107-ijo-63-06-05585" ref-type="bibr">107</xref>). Consequently, blocking the recruitment of these immunosuppressive cells emerges as a promising avenue for CCA immunotherapy. Notably, the simultaneous inhibition of TAMs and G-MDSCs has demonstrated the potential to enhance the effectiveness of anti-PD-1 treatment, while suppressing tumor growth (<xref rid="b67-ijo-63-06-05585" ref-type="bibr">67</xref>). Moreover, blocking granulocyte macrophage-CSF signaling has been shown to reduce the accumulation of bone marrow-derived monocytes, impair TAM viability and promote the repolarization of both TAMs and MDSCs. This concerted action leads to an increased infiltration and activation of cytotoxic T-lymphocytes, further strengthening the antitumor immune response (<xref rid="b108-ijo-63-06-05585" ref-type="bibr">108</xref>).</p>
<p>In the usual course, the acquisition of adaptive immunity hinges on activating DCs and macrophages as APCs. Consequently, a TIME deficient in APCs renders T-cells ineffective (<xref rid="b109-ijo-63-06-05585" ref-type="bibr">109</xref>). In CCA, M2 macrophages play a significant role in immune evasion by hampering DC maturation and impairing the function of T-cell effectors. Furthermore, Tregs also inhibit APCs, which disrupt metabolic pathways directly through their cytotoxic effects, leading to the suppression of immune responses (<xref rid="b110-ijo-63-06-05585" ref-type="bibr">110</xref>). Tumor cells employ various strategies to evade the immunosurveillance and innate immune system elimination. Tumor cells upregulate the expression of CD47, which interacts with signal regulatory protein &#x003B1; (SIRP&#x003B1;) on macrophages, facilitating the escape of tumors from phagocytosis (<xref rid="b111-ijo-63-06-05585" ref-type="bibr">111</xref>). Targeting CD47 and disrupting the CD47-SIRP&#x003B1; interaction can enhance macrophage phagocytosis in all macrophage subtypes, effectively suppressing CCA growth and metastasis (<xref rid="b112-ijo-63-06-05585" ref-type="bibr">112</xref>). Tumor cells block the antitumor effects of NK cells by preserving major histocompatibility complex class I molecules, downregulating NKG2D ligands on tumor cells and releasing immunoregulatory factors (such as TGF-&#x003B2;, prostaglandin E2 and indoleamine 2,3-dioxygenase) that compromise NK cell activity (<xref rid="b113-ijo-63-06-05585" ref-type="bibr">113</xref>). An example of an approach to counteract this is the use of the monoclonal antibody 7C6, which can inhibit the cleavage of major histocompatibility complex-class I chain related proteins A and B and subsequently lead to NKG2D-dependent activation of NK cells (<xref rid="b114-ijo-63-06-05585" ref-type="bibr">114</xref>).</p>
<p>CCA cells employ immune checkpoint manipulation to achieve immune evasion, notably targeting immune checkpoints, such as PD-1 and CTLA-4. PD-1 is expressed on activated T-cells. When PD-1 binds to its ligand PD-L1, it assembles protein tyrosine phosphatase, which inhibits the downstream PI3K-Akt-mTOR and Ras-MEK-ERK signaling pathways. This leads to an altered metabolism, the exhaustion of peripheral T-cells, the suppression of the tumoricidal immune response, and ultimately, to tumor progression (<xref rid="b115-ijo-63-06-05585" ref-type="bibr">115</xref>,<xref rid="b116-ijo-63-06-05585" ref-type="bibr">116</xref>). Additionally, PD-L1 has been found to prevent tumor cells from cytotoxic T-lymphocyte-induced apoptosis and interfere with interferon-mediated cytotoxicity (<xref rid="b117-ijo-63-06-05585" ref-type="bibr">117</xref>,<xref rid="b118-ijo-63-06-05585" ref-type="bibr">118</xref>). CTLA-4 mediates inhibitory signaling in several ways to block the proliferation and activation of T cells (<xref rid="b119-ijo-63-06-05585" ref-type="bibr">119</xref>). These mechanisms include the following: i) Inducing the production of indoleamine 2,3-dioxygenase; ii) hindering the establishment of a zeta-associated protein of 70 kDa; iii) increasing the expression of Casitas-B-lineage lymphoma-b protein; and iv) repressing the NF-&#x003BA;B and PI3K/Akt pathways, CDK4/CDK6 and cyclin D3.</p>
<p>CCA exhibits regional variation, leading to differences in the positive rate of PD-L1 expression among patients. In the Western world, the positive rate is ~11.6% (<xref rid="b120-ijo-63-06-05585" ref-type="bibr">120</xref>), whereas in the East, it ranges from 28 to 45% (<xref rid="b79-ijo-63-06-05585" ref-type="bibr">79</xref>,<xref rid="b121-ijo-63-06-05585" ref-type="bibr">121</xref>-<xref rid="b123-ijo-63-06-05585" ref-type="bibr">123</xref>). In addition, PD-L1 expression is significantly higher in tumor tissues than in paraneoplastic tissues. An elevated expression of PD-L1 has been linked to tumor progression and a poorer prognosis. CCA tumors with a high PD-L1 expression tend to display more aggressive features and shorter survival times (<xref rid="b124-ijo-63-06-05585" ref-type="bibr">124</xref>,<xref rid="b125-ijo-63-06-05585" ref-type="bibr">125</xref>). CTLA-4 has also been observed to be upregulated in CCA, and of note, a significant positive correlation exists between the expression levels of PD-1 and CTLA-4 (<xref rid="b126-ijo-63-06-05585" ref-type="bibr">126</xref>). An increased expression of CTLA-4 in TILs has been shown to be associated with malignant characteristics and poor survival outcomes in iCCA. However, a high expression of CTLA-4 in CCA cells does not appear to predict a poor patient prognosis (<xref rid="b127-ijo-63-06-05585" ref-type="bibr">127</xref>).</p></sec>
<sec sec-type="other">
<title>4. Immunotherapy for cholangiocarcinoma</title>
<sec>
<title>ICIs</title>
<p>Tumor immunotherapy mainly uses monoclonal antibodies to enhance endogenous antitumor activity. These monoclonal antibodies predominantly focus on immune checkpoint regulators, collectively known as ICIs (<xref rid="b128-ijo-63-06-05585" ref-type="bibr">128</xref>). CTLA-4 and PD-1 represent the most classical T-cell immune checkpoints and are the most extensively studied targets for ICIs. Moreover, ongoing research is exploring ICIs that target additional immune checkpoints, such as LAG-3, TIM-3, TIGIT and B7-H3 (<xref rid="b129-ijo-63-06-05585" ref-type="bibr">129</xref>). Favorable therapeutic responses to ICIs have been documented in several types of solid tumors (<xref rid="b130-ijo-63-06-05585" ref-type="bibr">130</xref>-<xref rid="b132-ijo-63-06-05585" ref-type="bibr">132</xref>). Presently, pembrolizumab and nivolumab have received approval from the Food and Drug Administration (FDA) for the treatment of advanced malignancies (<xref rid="b133-ijo-63-06-05585" ref-type="bibr">133</xref>,<xref rid="b134-ijo-63-06-05585" ref-type="bibr">134</xref>).</p>
<p>The response of tumor cells to ICIs appears to be closely related to the extent of CD8<sup>+</sup> T-cell infiltration and the expression of immune checkpoint molecules within the tumor (<xref rid="b135-ijo-63-06-05585" ref-type="bibr">135</xref>). Tumors characterized by a high presence of CD8<sup>+</sup> T-cell infiltration and elevated immune checkpoint molecule expression are often termed immunologically 'hot' tumors and exhibit high response rates to ICIs. However, almost half of all patients with CCA have immunologically 'cold' tumors and have low response rates to treatment with ICIs (<xref rid="b136-ijo-63-06-05585" ref-type="bibr">136</xref>). Genetic abnormalities in tumor cells, such as defective DNA mismatch repair (dMMR) and microsatellite instability-high (MSI-H), can also influence the responsiveness of tumors to ICIs (<xref rid="b137-ijo-63-06-05585" ref-type="bibr">137</xref>-<xref rid="b139-ijo-63-06-05585" ref-type="bibr">139</xref>). Studies have suggested that patients with solid tumors that feature abundant CD8<sup>+</sup> T cells, significant PD-L1 expression, MSI-H, high levels of dMMR and a high tumor mutation burden (TMB) may exhibit sensitivity to immunotherapy (<xref rid="b140-ijo-63-06-05585" ref-type="bibr">140</xref>,<xref rid="b141-ijo-63-06-05585" ref-type="bibr">141</xref>). Consequently, CD8<sup>+</sup> T-cell infiltration, PD-L1 expression, MSI and TMB are employed as biomarkers to predict immunotherapy response rates. Nevertheless, the accuracy of these biomarkers still requires refinement. There is a pressing need for more precise biomarkers and improved protocols for personalized treatment.</p>
<sec>
<title>ICI monotherapy</title>
<p>The clinical trial NCT01876511 exhibited that 86 (including CCA) patients with dMMR or MSI-H were treated with pembrolizumab and achieved satisfactory treatment outcomes (<xref rid="b139-ijo-63-06-05585" ref-type="bibr">139</xref>). In the phase 1b trial KEYNOTE-028, 20 patients with advanced-stage CCA and 4 patients with advanced-stage gallbladder cancer (GBC), all of whom tested positive for PD-L1, received pembrolizumab monotherapy (<xref rid="b142-ijo-63-06-05585" ref-type="bibr">142</xref>). A total of 3 patients with CCA and 1 patient with GBC achieved stable disease (SD). Grade 3 toxicities were observed in 17% of cases, with no grade 4 events reported. The objective response rate (ORR) was 17%, and the median progression-free survival (mPFS) and median OS (mOS) were 1.8 and 6.2 months, respectively. Notably, that study confirmed that pembrolizumab was well-tolerated, displayed excellent antitumor activity, and exhibited manageable safety and effectiveness (<xref rid="b142-ijo-63-06-05585" ref-type="bibr">142</xref>).</p>
<p>In a phase 2 study involving 54 patients with BTC pre-treated with at least one line, but no more than three lines of systemic therapy, the anticancer activity of nivolumab in advanced refractory BTC was evaluated (<xref rid="b143-ijo-63-06-05585" ref-type="bibr">143</xref>). More than half of the patients had well-controlled conditions, resulting in a mOS of 14.22 months and a mPFS of 3.68 months. However, Ueno <italic>et al</italic> (<xref rid="b144-ijo-63-06-05585" ref-type="bibr">144</xref>) suggested a poor response rate to nivolumab monotherapy. In summary, the effectiveness of nivolumab monotherapy for CCA remains uncertain due to the cohort size, and further research is required to provide a clearer picture. Durvalumab, atezolizumab and avelumab are also approved by the FDA for the treatment for various solid tumors. However, studies have indicated that these monoclonal antibodies have limited efficacy when used as monotherapy for CCA. For instance, Doki <italic>et al (</italic>145) reported that among 42 patients with BTC treated with durvalumab alone, the median OS was 1.5 months, the mPFS was 8.1 months and the ORR was 4.8%.</p>
<p>Apart from ICIs targeting a single immune checkpoint, there is growing interest in ICIs that can simultaneously act on two immune checkpoints. A promising example is ABL501, which can inhibit both LAG-3 and PD-L1 concurrently, demonstrating higher antitumor activity compared to a combination of anti-LAG-3 and anti-PD-L1 treatments (<xref rid="b101-ijo-63-06-05585" ref-type="bibr">101</xref>). ABL501 has emerged as a promising candidate in cancer immunotherapy and is currently undergoing its initial human trial (NCT05101109). Another innovative approach is represented by M7824, a novel bifunctional fusion protein. M7824 comprises a monoclonal antibody against PD-L1 fused to the extracellular domain of human TGF-&#x003B2; receptor II. This design allows M7824 to serve a dual function by blocking PD-L1 and sequestering TGF-&#x003B2; molecules (<xref rid="b146-ijo-63-06-05585" ref-type="bibr">146</xref>). Research has explored the response of M7824 in Asian patients with CCA, revealing an ORR of 23%. However, it is essential to note that treatment-related adverse events (TRAEs) have been observed in 63% of patients (<xref rid="b147-ijo-63-06-05585" ref-type="bibr">147</xref>). Further investigations are warranted to assess the overall safety and efficacy of this approach in CCA immunotherapy.</p></sec>
<sec>
<title>Dual ICI combination therapy</title>
<p>Given the limited effectiveness of ICI monotherapy for CCA, there is a growing focus on exploring combination immunotherapies to enhance treatment responses and overcome immune tolerance. Combination therapy involving two ICIs has demonstrated promising outcomes in various solid tumors. In a phase 2 study evaluating the combination of nivolumab and ipilimumab in 39 patients with advanced-stage BTC (<xref rid="b148-ijo-63-06-05585" ref-type="bibr">148</xref>), the trial reported an ORR of 23% and a disease control rate (DCR) of 44%, highlighting the potential superiority of dual ICI combination therapy compared to monotherapy. A phase 1 study investigated the combination of durvalumab and tremelimumab in advanced-stage BTC (<xref rid="b145-ijo-63-06-05585" ref-type="bibr">145</xref>), revealing an ORR of 10.8% in a cohort of 65 BTC patients. The study reported a mPFS of 1.6 months and a mOS of 10.1 months. However, grade 3 or higher TRAEs were observed in 23.1% of patients. Nevertheless, it is worth mentioning that durvalumab plus tremelimumab combination therapy, when tested in Japanese patients with HCC and BTC, yielded less encouraging response rates and survival outcomes (<xref rid="b149-ijo-63-06-05585" ref-type="bibr">149</xref>). Considering the mixed results, the efficacy of durvalumab and tremelimumab combination therapy in patients with CCA remains unclear, and the safety profile of this approach warrants further refinement. It is important to exercise caution when interpreting these conclusions due to the limited sample sizes in these studies. Therefore, while combination immunotherapies hold promise, particularly in the context of dual immune checkpoint inhibition, continued research with larger and more diverse patient cohorts is essential to establish the true effectiveness and safety of these approaches in the treatment of CCA.</p></sec>
<sec>
<title>ICIs plus chemotherapy</title>
<p>The trial NCT03046862 classified 124 patients with advanced-stage BTC into three treatment cohorts and revealed that ICIs combined with gemcitabine and cisplatin (GS) hold promise as an effective treatment for advanced BTC (<xref rid="b150-ijo-63-06-05585" ref-type="bibr">150</xref>). Another study supported the strategy of GS plus immunotherapy for BTC. The TOPAZ-1 trial represents a significant advancement in the field, being the first phase 3 study designed to investigate PD-L1 inhibitors in combination with chemotherapy for progressive CCA (<xref rid="b151-ijo-63-06-05585" ref-type="bibr">151</xref>). In that trial, 685 patients were randomly assigned to either the durvalumab + GS group or the placebo + GS group. The interim analysis revealed encouraging results, with a mOS of 12.8 months and a mPFS of 7.2 months in the durvalumab + GS group, compared to 11.5 and 5.7 months in the placebo + GS group, respectively. Notably, while TRAEs were observed in 62.7% of patients in the treatment group and 64.9% of patients in the control group, the combination of chemotherapy regimens for advanced-stage BTC with ICIs appeared to enhance survival and other efficacy outcomes without significantly increasing the risk of treatment toxicity. This suggests a promising avenue for improving treatment outcomes in advanced-stage BTC.</p>
<p>In addition, several trials have evaluated the therapeutic efficacy and safety of GS in combination with nivolumab (<xref rid="b11-ijo-63-06-05585" ref-type="bibr">11</xref>,<xref rid="b144-ijo-63-06-05585" ref-type="bibr">144</xref>,<xref rid="b152-ijo-63-06-05585" ref-type="bibr">152</xref>), pembrolizumab plus capecitabine and oxaliplatin (CAPOX) (<xref rid="b12-ijo-63-06-05585" ref-type="bibr">12</xref>) and paclitaxel with durvalumab and tremelimumab (<xref rid="b153-ijo-63-06-05585" ref-type="bibr">153</xref>) in BTC (<xref rid="tI-ijo-63-06-05585" ref-type="table">Table I</xref>). Apart from the trial NCT03704480, the results from these studies have been consistently positive. This collective body of evidence suggests a promising treatment approach that combines chemotherapy with ICIs in patients with BTC, offering not only enhanced efficacy, but also an acceptable safety profile.</p></sec>
<sec>
<title>ICIs plus targeted therapy</title>
<p>The combination of molecular targeted therapy and immunotherapy has demonstrated synergistic effects. The capacity of immunotherapy to eliminate immunosuppression can extend the remission effect induced by molecular targeted therapy, thereby enhancing the overall effectiveness of targeted therapy.</p>
<p>The trial NCT02443324 assessed the benefits of pembrolizumab in combination with ramucirumab (a VEGFR-2 monoclonal antibody) in 26 patients with locally advanced, unresectable or metastatic BTC (<xref rid="b154-ijo-63-06-05585" ref-type="bibr">154</xref>). However, the results were quite disappointing, with only one patient achieving a partial response, and a mOS of 6.4 months. The trial NCT03201458 compared the efficacy of atezolizumab monotherapy with atezolizumab in combination with cobimetinib (MEK inhibitor) in patients with BTC who had failed first/second line therapy (<xref rid="b155-ijo-63-06-05585" ref-type="bibr">155</xref>). While the combined treatment group exhibited a slightly better mPFS, both groups had extremely low ORRs. Similarly, a single-arm study investigated the efficacy and tolerability of pembrolizumab + lenvatinib in the treatment of patients with BTC who had failed prior systemic treatments (<xref rid="b156-ijo-63-06-05585" ref-type="bibr">156</xref>). That study reported that 25% of patients responded to treatment and the DCR was 78.1%, with a clinical benefit rate of 40.5% (<xref rid="b156-ijo-63-06-05585" ref-type="bibr">156</xref>). Additional studies exploring the combination of ICIs with targeted therapies are listed in <xref rid="tI-ijo-63-06-05585" ref-type="table">Table I</xref>.</p></sec>
<sec>
<title>ICIs plus other therapies</title>
<p>Local treatment may be an effective option for patients with BTC who are not eligible for surgery or have advanced lesions. Techniques such as local ablative therapy and radiation therapy can effectively kill tumor cells, boost the production of tumor neoantigens and enhance the immune recognition response. Consequently, there is a theoretical synergy between local therapy and immunotherapy. The trial NCT01853618 revealed that in the evaluable patients who received combination therapy with tremeliumab + microwave ablation, 12.5% achieved a PR, 31.2% achieved SD, with a mPFS of 3.4 months, and a mOS of 6 months (<xref rid="b157-ijo-63-06-05585" ref-type="bibr">157</xref>). Furthermore, studies have suggested that the immune response triggered by antigens released from dead tumor cells following radiation therapy can extend to distant metastatic lesions (<xref rid="b140-ijo-63-06-05585" ref-type="bibr">140</xref>). This phenomenon underscores the potential of combining local therapies with immunotherapy for more comprehensive cancer treatment.</p>
<p>The dense fibrotic matrix found in CCA tissue can impede the effectiveness of antitumor drugs and immune cell infiltration. Therefore, reducing stromal fibrosis in CCA may enhance the response to therapy. The trial NCT03267940 is currently investigating the effectiveness of hyaluronidase when combined with ICIs and chemotherapy for progressive BTC. As aforementioned, increasing the number of NK cells can inhibit tumor growth. A phase 1/2a trial explored the safety and efficacy of pembrolizumab combining allogeneic NK cells in chemotherapy-refractory BTC patients (<xref rid="b158-ijo-63-06-05585" ref-type="bibr">158</xref>). That study reported an overall ORR and DCR of 17.4 and 30.4%, all without severe TRAEs. That study demonstrated that pembrolizumab plus allogeneic NK cells represents a promising therapeutic approach, exhibiting an improved efficacy and a favorable safety profile (<xref rid="b158-ijo-63-06-05585" ref-type="bibr">158</xref>).</p></sec></sec>
<sec>
<title>Adoptive immune cell therapy</title>
<p>Chimeric antigen receptor (CAR) T-cells, derived from peripheral blood and modified <italic>in vitro</italic>, express CARs formed by merging antigen recognition sites from tumor-specific antibodies with costimulatory molecules, such as CD28. These CAR T-cells can selectively target tumor antigens and activate antitumor responses. While CAR T-cell therapy has achieved success in hematological malignancies, particularly gaining FDA approval for B-lymphoblastic leukemia in 2017 (<xref rid="b159-ijo-63-06-05585" ref-type="bibr">159</xref>), there is growing interest in its application against solid tumors. Capitalizing on the overexpression of EGFR and CD133 in CCA, studies have devised treatment strategies involving EGFR or CD133 CAR T-cells. <italic>In vitro</italic> experiments with anti-CD133 CAR T-cells demonstrated significant and potent cytolytic activity against CCA cells (<xref rid="b160-ijo-63-06-05585" ref-type="bibr">160</xref>). However, a phase 1 clinical study evaluating patients with EGFR-positive metastatic or recurrent BTC found insignificant benefits (<xref rid="b161-ijo-63-06-05585" ref-type="bibr">161</xref>). Another study investigated the effectiveness of EGFR-targeted and CD133-targeted CAR T-cell sequential therapy in a patient with advanced-stage CCA, yielding a partial response of 8.5 and 4.5 months after CAR T-cell EGFR and CAR T-cell CD133 treatments, respectively (<xref rid="b162-ijo-63-06-05585" ref-type="bibr">162</xref>). In addition to CAR T-cell therapy, the efficacy of adoptive cellular transfer of TILs in CCA has been substantiated by various studies. Case reports have revealed that immune cell adoptive transfer exhibits encouraging efficacy in patients with CCA, which a reduced tumor load and prolonged survival (<xref rid="b163-ijo-63-06-05585" ref-type="bibr">163</xref>,<xref rid="b164-ijo-63-06-05585" ref-type="bibr">164</xref>). Moreover, the effectiveness and safety of immune cell adoptive transfer therapy in combination with other treatments have been investigated. Zhang <italic>et al</italic> (<xref rid="b165-ijo-63-06-05585" ref-type="bibr">165</xref>) combined local treatment with the adoptive transfer of allogeneic &#x003B3;&#x003B4; T-cells for CCA and found no significant survival benefit for patients receiving the combination therapy, despite a favorable safety profile. The combination of the DC vaccine and activated T-cell transfer was proven to be an adjuvant immunotherapy that significantly prolonged the survival of patients with iCCA and HCC undergoing surgery (<xref rid="b166-ijo-63-06-05585" ref-type="bibr">166</xref>,<xref rid="b167-ijo-63-06-05585" ref-type="bibr">167</xref>). Although numerous studies have shown that immune cell adoptive transfer therapy is a potential treatment modality for BTC, the use of this therapy in BTC is still in its infancy and needs to be validated in more high-quality clinical trials.</p></sec>
<sec>
<title>CD40 agonist</title>
<p>CD40, a member of the TNF receptor superfamily, plays a pivotal role in the immune response. Upon interaction with its ligands, CD40 can stimulate DCs to initiate T-cell-dependent antitumor responses and induce the macrophage-mediated destruction of the tumor stroma. CD40 agonists hold the potential to transform 'cold' tumors into 'hot' tumors, rendering them more responsive to immunotherapy. <italic>In vitro</italic> research has illustrated that CD40 agonists can activate DCs, leading to tumor cell killing (<xref rid="b168-ijo-63-06-05585" ref-type="bibr">168</xref>). Furthermore, combining CD40 agonists with immunotherapy has been shown to increase the number of DCs and restore their function, enhancing the antitumor response of T-cells <italic>in vivo</italic> (<xref rid="b169-ijo-63-06-05585" ref-type="bibr">169</xref>). The combination of CD40 agonists with ICIs has shown significant promise in treating various solid tumors (<xref rid="b170-ijo-63-06-05585" ref-type="bibr">170</xref>-<xref rid="b173-ijo-63-06-05585" ref-type="bibr">173</xref>). However, there has been limited exploration of CD40 agonists in CCA. Humphreys <italic>et al</italic> (<xref rid="b174-ijo-63-06-05585" ref-type="bibr">174</xref>) demonstrated the effectiveness of CD40 agonists in inducing the apoptosis of CCA cells (<xref rid="b174-ijo-63-06-05585" ref-type="bibr">174</xref>). A recent study provided compelling evidence that combining CD40 agonists with anti-PD-1 therapy yielded robust antitumor activity in iCCA mouse models and significantly improved OS with good tolerability (<xref rid="b175-ijo-63-06-05585" ref-type="bibr">175</xref>). The findings of that study suggest that the triple combination of CD40 agonists, ICIs and chemotherapy holds promise as an effective therapy for CCA. This triple combination therapy was tested in pancreatic cancer. Notably, a similar triple combination therapy was evaluated in pancreatic cancer, demonstrating exciting therapeutic effects in a phase 1b clinical trial. That trial investigated gemcitabine/nab-paclitaxel combined with a CD40 agonist (APX005M), with or without nivolumab, for the treatment of untreated metastatic pancreatic cancer (<xref rid="b176-ijo-63-06-05585" ref-type="bibr">176</xref>).</p></sec>
<sec>
<title>Tumor vaccines</title>
<p>Vaccine therapy represents a promising avenue for enhancing the immune microenvironment in cancer treatment. It functions by eliciting a pre-existing immune response against target antigens within the body, ultimately triggering potent, specific cellular immunity. CCA poses a challenge for immunotherapy due to its low tumor mutation burden and limited expression of neoantigens (<xref rid="b177-ijo-63-06-05585" ref-type="bibr">177</xref>). Therefore, vaccine therapy holds particular appeal as a treatment option for CCA. These cancer vaccines can be broadly categorized into three groups: Cancer antigen peptide or protein vaccines, cellular vaccines and tumor antigen gene vaccines (<xref rid="b178-ijo-63-06-05585" ref-type="bibr">178</xref>).</p>
<p>Peptide or protein-based vaccines commonly incorporate antigens that are overexpressed to enhance immunogenicity. For CCA, Wilm's tumor protein 1 (WT1) and MUC1 are widely expressed (179). Many single peptide-based cancer vaccines for CCA have targeted WT1 or MUC1. Despite being well-tolerated, these tumor vaccines often exhibit limited effectiveness when used as monotherapy (<xref rid="b180-ijo-63-06-05585" ref-type="bibr">180</xref>-<xref rid="b182-ijo-63-06-05585" ref-type="bibr">182</xref>).</p>
<p>The efficacy of single peptide-based vaccines is constrained by the heterogeneity of CCA, stemming from the uneven distribution of TAAs. The response of the immune system interacting with TAAs varies widely from one patient to another. The immune system's response to TAAs can vary significantly from one patient to another. Immune cells induced by individual peptide vaccines specifically target tumor cells expressing that single peptide (protein). However, when these tumor cells downregulate or silence the targeted peptide (protein), the single peptide vaccines tend to lose their efficacy. By contrast, vaccines designed to target multiple antigenic peptides have the potential to address these limitations. Aruga <italic>et al</italic> (<xref rid="b183-ijo-63-06-05585" ref-type="bibr">183</xref>) conducted investigations into the safety, immune responses and antitumor effects of a four-peptide vaccination in patients with advanced-stage refractory BTC. The results of their study revealed detectable peptide-specific T-cell immune responses in 7 out of 9 vaccinated patients, indicating that the four-peptide vaccine was both safe and associated with a survival benefit (<xref rid="b183-ijo-63-06-05585" ref-type="bibr">183</xref>). Subsequently, the same cohort was treated with a three-peptide vaccine, which yielded similar results in terms of safety and effective immune responses (<xref rid="b184-ijo-63-06-05585" ref-type="bibr">184</xref>). Additionally, a phase 2 trial identified four peptides for the development of personalized multiple-peptide vaccines based on patients' immunological profiles (<xref rid="b185-ijo-63-06-05585" ref-type="bibr">185</xref>). These personalized vaccines were found to induce robust immune responses with favorable tolerability. While these studies demonstrate the feasibility and safety of multi-peptide approaches for refractory BTC, their impact on survival warrants further investigation in larger prospective studies. However, it is worth noting that in the limited immune space, immune cells compete with each other. In cases where an inappropriate peptide vaccine induces an immune response, it may inadvertently suppress the function of pre-existing memory immune cells. This phenomenon may contribute to accelerated disease progression and even premature mortality among patients.</p>
<p>Cellular vaccines are designed to expose the immune system to antigens, thereby stimulating the generation of memory lymphocytes and facilitating a robust immune response against tumors. DCs, modified autologous cancer cells and allogeneic tumor cell lines are commonly used cell types in cell-based tumor vaccines (<xref rid="b178-ijo-63-06-05585" ref-type="bibr">178</xref>). DC-based tumor vaccines loaded with TAAs have demonstrated favorable tolerability and potential efficacy in CCA. In a phase 1/2 study, 12 patients with CCA or pancreatic cancer received a DC vaccine loaded with MUC1 following primary tumor resection, resulting in a mOS of 26 months with good tolerability (<xref rid="b186-ijo-63-06-05585" ref-type="bibr">186</xref>). Another study involving 65 patients with unresectable or recurrent BTC utilized DC vaccines pulsed with WT1 and/or MUC1, which proved to be well-tolerated, with 15% of patients experiencing an attenuated disease progression (<xref rid="b187-ijo-63-06-05585" ref-type="bibr">187</xref>). A recent study employed Listeria monocytogenes expressing antigen of interest (LmAIO) for prophylactic vaccination in a mouse model of CCA (<xref rid="b188-ijo-63-06-05585" ref-type="bibr">188</xref>). This approach successfully induced potent tumor-specific Th1 immunity, leading to reduced tumor burden, delayed disease progression, and prolonged survival (<xref rid="b188-ijo-63-06-05585" ref-type="bibr">188</xref>). That study employed an attenuated strain of Listeria monocytogenes as a TAA presentation vehicle, shedding new light on the development of cell-based tumor vaccines.</p>
<p>Nucleic acid-based cancer vaccines, which leverage genetic material, have emerged as a focal point in tumor immunotherapy. These vaccines offer several advantages compared to other types. They can concurrently deliver multiple TAAs, mitigating the risk of resistance, and encode full-length TAAs to stimulate broader T-cell responses. Moreover, these vaccines have demonstrated good tolerability and safety profiles across various digestive system tumors (<xref rid="b189-ijo-63-06-05585" ref-type="bibr">189</xref>). Huang <italic>et al</italic> (<xref rid="b190-ijo-63-06-05585" ref-type="bibr">190</xref>) applied bioinformatics techniques to identify three potential TAAs for CCA mRNA vaccines. They further stratified patients with CCA based on immunophenotyping and suggested that those with an 'immune-cold' phenotype may derive more substantial benefits from mRNA vaccine therapy (<xref rid="b190-ijo-63-06-05585" ref-type="bibr">190</xref>). However, the application of genetic vaccines in CCA remains at a preliminary stage, necessitating further research to establish their safety and true efficacy.</p></sec></sec>
<sec sec-type="other">
<title>5. Current limitations and future perspectives</title>
<p>CCA is a highly malignant tumor and characterized by a poor prognosis. Risk factors for CCA include hepatitis viral infection, parasitic infection, cirrhosis, primary sclerosing cholangitis and cholelithiasis (<xref rid="b191-ijo-63-06-05585" ref-type="bibr">191</xref>). Furthermore, studies using animals have suggested that exposure to dioxin-like compounds can increase the incidence of CCA in mice (<xref rid="b192-ijo-63-06-05585" ref-type="bibr">192</xref>,<xref rid="b193-ijo-63-06-05585" ref-type="bibr">193</xref>); however, this association has not been definitively confirmed in humans. At present, the main treatment option for CCA is radical surgery, supplemented by chemotherapy and radiotherapy. However, even with these interventions, the survival rates of patients with CCA remain disoncertingly low. The emergence of immunotherapy as a treatment modality for solid tumors has garnered increasing attention, holding significant promise for CCA. Nevertheless, the progress of immunotherapy for CCA remains in its infancy, a circumstance that may be attributed to several factors. Firstly, the majority of CCA cases are immunologically 'cold' tumors with a suppressive TIME and present with a low response rate to immunotherapies. Secondly, CCA is a heterogenous disease and the molecular characteristics of CCA derived from different/same regions of bile duct differ from each other. Thirdly, for unselected patients with CCA, single ICI therapy is less effective and patients are more likely to exhibit resistance to therapy. These multifaceted challenges underscore the need for a more in-depth understanding of the immune landscape in CCA and the development of tailored, combinatorial immunotherapeutic approaches that can overcome the complexities posed by this aggressive malignancy.</p>
<p>The TIME of CCA is highly intricate and dynamic, associated with CCA progression, metastasis and treatment failure. Within the TIME of CCA lies a wealth of potential drug targets for the development of innovative immune-based therapies. To pave the way for more precise and efficacious treatments for CCA, future research endeavors should harness cutting-edge techniques, such as single-cell sequencing, transcriptomics, proteomics and metabolomics. These approaches will enable a comprehensive exploration of the intricate mechanisms governing the interplay between CCA and its TIME. By elucidating the TIME landscape of CCA in its entirety, invaluable insight can be obtained into novel therapeutic avenues targeting specific components of the TIME, heralding a new era in CCA treatment.</p>
<p>CCA can be classified into distinct subtypes based on its anatomical origin, primarily as iCCA and extrahepatic CCA (eCCA), which further includes perihilar and distal CCA. Notably, the molecular profile of cancerous tissues varies significantly across different biliary system sites. For instance, mutations in genes such as IDH1, BAP1 and PBRM1 are prevalent among patients with iCCA, whereas KRAS, CDKN2A and BRCA1 mutations are more commonly observed in eCCA cases (<xref rid="b194-ijo-63-06-05585" ref-type="bibr">194</xref>,<xref rid="b195-ijo-63-06-05585" ref-type="bibr">195</xref>). Even within the same anatomical region, CCAs with distinct histological features may exhibit differing gene mutations (<xref rid="b196-ijo-63-06-05585" ref-type="bibr">196</xref>). This inherent heterogeneity poses a challenge in predicting responses to immunotherapies. Studies have indicated that ICI treatments tend to be more effective for iCCA compared to eCCA (<xref rid="b195-ijo-63-06-05585" ref-type="bibr">195</xref>). Therefore, conducting comprehensive multi-omics investigations of CCA using genomic, proteomic, metabolomic and colonyomic technologies holds the promise of providing detailed insight into the characteristics relevant to CCA immunotherapies. This approach may shift the classification of CCA from anatomical and morphological criteria to molecular typing, offering a more accurate reflection of the tumor's biological essence. Ultimately, this may enable a more precise diagnosis and may lead to the development of treatment strategies tailored to the specific molecular profile of CCA.</p>
<p>Combination therapy focused on ICIs is a promising and valuable first-line or translational treatment approach for intractable biliary tract malignancies. Dual ICI treatment targeting different immune checkpoints has also shown prospective synergistic therapeutic effects. However, there remain several caveats for ICI combination therapy in clinical practice. Notably, the majority of patients are insensitive to ICI combination therapy, and the overall ORR is relatively low. The ICI combination therapy has a lower overall ORR and risks of therapeutic resistance. The therapeutic resistance phenomenon is also observed. Therefore, future prospective precision immunotherapy should focus on developing more well-established and definite personalized treatment for patients with CCA with different subtypes. With the greater understanding of the molecular features of CCA, the issue of identifying more accurate and reliable biomarkers of immunotherapy effects needs to be solved imminently. Although the favorable safety profile of ICI combination therapy has been proven in several clinical trials, it is necessary and crucial to evaluate the treatment-related adverse effects. On the one hand, the liver function of the majority of patients with CCA is impaired, affecting metabolic detoxification. On the other hand, the sample volume of existing studies is minimal, which is likely to lead to bias in conclusions. Further large-volume, high-quality, prospective and randomized controlled trials are required to identify the safety, as well as the therapeutic effects of different immune combination regimens.</p></sec>
<sec sec-type="conclusions">
<title>6. Conclusion</title>
<p>CCA stands out as an exceptionally malignant tumor, marked by its often-grim prognosis. In the quest for precision immunotherapy, future efforts should harness advanced techniques to delve deeper into the intricate mechanisms governing the interplay between CCA and the TIME. Such endeavors should ultimately yield a comprehensive TIME landscape specific to CCA. This knowledge may serve as the foundation for developing more robust and tailored personalized treatments, accounting for the diversity of CCA subtypes. One particularly promising avenue is the exploration of combination therapy, with a specific focus on ICIs. This approach holds substantial potential as a first-line or translational treatment strategy, particularly for the challenging realm of intractable biliary tract malignancies.</p></sec>
<sec sec-type="supplementary-material">
<title>Supplementary Data</title>
<supplementary-material id="SD1-ijo-63-06-05585" content-type="local-data">
<media xlink:href="Supplementary_Data.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec></body>
<back>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<title>Authors' contributions</title>
<p>SY contributed to data acquisition and drafted the manuscript. YH, RZ and YD contributed to data acquisition. FL and HH contributed to the study design and the revision of the manuscript. All authors have read and approved the final manuscript. Data authentication is not applicable.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<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>
<ack>
<title>Acknowledgments</title>
<p>Not applicable.</p></ack>
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<floats-group>
<fig id="f1-ijo-63-06-05585" position="float">
<label>Figure 1</label>
<caption>
<p>Interactions between CAFs and CCA cells. CAFs release HGF, TGF-&#x003B2;1, HB-EGF and SDF-1 to enhance the malignant phenotype of CCA cells. HB-EGF, released by CAFs, can interact with EGFR on the plasma membrane of CCA cells to activate EGFR and stimulate ERK and STAT3, leading to the nuclear translocation of &#x003B2;-catenin and the disruption of adherens junction complexes with E-cadherin internalization, triggering a transcriptional program involved in tumor progression. CAF-derived SDF-1 binds to CXCR4 on CCA cells in a paracrine manner, which stimulates ERK1/2 and AKT signaling to increase the invasive ability of CCA. The HGF interaction with MET ligand expressed by CCA cells can activate ERK signaling pathway to accelerate tumor growth. PDGF-D released by CCA cells interacting with the cognate receptor PDGFR&#x003B2; presenting in fibroblasts contributes to fibroblast aggregation. PDGF-D can stimulate fibroblast to secrete VEGF-A and VEGF-C, that increase the generation of tumor lymphangiogenesis pronouncedly and lead to invasion of tumor cells in lymphatic vessels. In turn, binding of CAF-secreted PDGF-BB to PDGFR&#x003B2; in CCA cells can activate the Hedgehog signaling to promote tumor proliferation and metastasis. CCA, cholangiocarcinoma; CAF, cancer-associated fibroblasts; HGF, hepatocyte growth factor; HB-EGF, heparin-binding epidermal growth factor; SDF-1, stromal cell-derived factor-1; CXCR4, C-X-C chemokine receptor 4; PDGF, platelet-derived growth factor; VEGF, vascular endothelial growth factor.</p></caption>
<graphic xlink:href="ijo-63-06-05585-g00.tif"/></fig>
<fig id="f2-ijo-63-06-05585" position="float">
<label>Figure 2</label>
<caption>
<p>Associations between CCA, TAMs and TANs. CCA can produce IL-6 and TGF-&#x003B2; to activate TAMs. In response, TAMs release IL-10 to activate the STAT3 pathway and enhance the migration and invasion of the tumor cells. Moreover, activated TAMs contribute to tumor angiogenesis by producing VEGF-A, angiopoietin, IL-8, COX-2 and iNOS. CCA cells express certain Wnt ligands, which assemble and activate TAMs. These TAMs, in turn, secrete Wnt, thereby stimulating the Wnt/&#x003B2;-catenin pathway, ultimately resulting in increased tumor cell proliferation. TANs release a variety of growth factors, enzymes and cytokines that collectively enhance tumor growth. CCA express ENA-78 to recruit TANs. Furthermore, the interaction between TANs and TAMs induces the production of OSM by TANs and IL-11 by TAMs, which leads to increased tumor cell proliferation and invasion via STAT3 pathway. CCA, cholangiocarcinoma; TAMs, tumor-associated macrophages; TANs, tumor-associated neutrophils; VEGF, vascular endothelial growth factor; COX-2, cyclooxygenase 2; iNOS, inducible nitric oxide synthase; ENA-78, epithelial-derived neutrophil-activating peptide-78; OSM, oncostatin M.</p></caption>
<graphic xlink:href="ijo-63-06-05585-g01.tif"/></fig>
<fig id="f3-ijo-63-06-05585" position="float">
<label>Figure 3</label>
<caption>
<p>Roles of Tregs in the establishment of the immunosuppressive tumor immune microenvironment. Tregs originate from tumor-infiltrating T-cells under the stimulation of CCL2 produced by tumor cells, TAMs and CAFs. They play a suppressive role mainly through the following mechanisms: i) Tregs suppress T-cell and NK cell immune activity by releasing abundant TGF-&#x003B2; and IL-10; ii) they bind to IL-2 to inhibit the activation of other immune cells; iii) CTLA-4 expressed by Tregs binds to CD80 on antigen-presenting cells to attenuate the cytotoxic effects of CD8+ T-cells; iv) they induce macrophage differentiation toward the tumor-promoting M2 subtype. Tregs, regulatory T-cells; CCL2, chemokine ligand 2; TAMs, tumor-associated macrophages; CAF, cancer-associated fibroblasts; NK, natural killer; CTLA-4, cytotoxic T-lymphocyte-associated antigen-4; APC, antigen-presenting cell; TIME, tumor immune microenvironment.</p></caption>
<graphic xlink:href="ijo-63-06-05585-g02.tif"/></fig>
<table-wrap id="tI-ijo-63-06-05585" position="float">
<label>Table I</label>
<caption>
<p>Clinical trials of immunotherapy regimens for CCA.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="bottom"/>
<th rowspan="2" align="center" valign="bottom">Trial number</th>
<th rowspan="2" align="center" valign="bottom">Phase</th>
<th rowspan="2" align="center" valign="bottom">Line of treatment</th>
<th rowspan="2" align="center" valign="bottom">Type of BTC</th>
<th rowspan="2" align="center" valign="bottom">Estimated enrollment</th>
<th rowspan="2" align="center" valign="bottom">Allocation</th>
<th colspan="2" align="center" valign="bottom">Study arms
<hr/></th>
<th rowspan="2" align="center" valign="bottom">Pathways targeted</th>
<th rowspan="2" align="center" valign="bottom">Primary outcomes</th>
<th rowspan="2" align="center" valign="bottom">Status</th></tr>
<tr>
<th align="center" valign="bottom">Arm A</th>
<th align="center" valign="bottom">Arm B</th></tr></thead>
<tbody>
<tr>
<td rowspan="14" align="left" valign="top">Monotherapy</td>
<td align="left" valign="top">NCT04157985</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">578</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Pembrolizumab or nivolumab or atezolizumab or ipilimumab or cemiplimab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1/PD-L1</td>
<td align="left" valign="top">Time to next treatment, PFS</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03110328</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">33</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">Best overall response, PFS, OS</td>
<td align="left" valign="top">Completed</td></tr>
<tr>
<td align="left" valign="top">NCT02054806</td>
<td align="left" valign="top">1b</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">477</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">Best overall response</td>
<td align="left" valign="top">Completed</td></tr>
<tr>
<td align="left" valign="top">NCT02829918</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">54</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Nivolumab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR After 4 Cycles of Treatment</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03999658</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CAA, GBC</td>
<td align="left" valign="top">220</td>
<td align="left" valign="top">Non-randomized</td>
<td align="left" valign="top">STI-3031</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-L1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Not yet recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT02628067</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">1,609</td>
<td align="left" valign="top">Non-randomized</td>
<td align="left" valign="top">Pembrolizumab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03201458</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">76</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Atezolizumab</td>
<td align="left" valign="top">Atezolizumab plus cobimetinib</td>
<td align="left" valign="top">PD-L1, MEK1</td>
<td align="left" valign="top">PFS</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04238637</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">50</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Durvalumab</td>
<td align="left" valign="top">Durvalumab plus tremelimumab</td>
<td align="left" valign="top">PD-L1, CTLA-4</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04440943</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">40</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">CDX-527</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-L1xCD27</td>
<td align="left" valign="top">Safety, tolerability</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT05101109</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later line</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">36</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">ABL501</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">LAG-3xPD-L1</td>
<td align="left" valign="top">Safety, tolerability</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03849469</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">242</td>
<td align="left" valign="top">Non-Randomized</td>
<td align="left" valign="top">XmAb<sup>&#x000AE;</sup> 22841</td>
<td align="left" valign="top">XmAb<sup>&#x000AE;</sup> 22841 plus pembrolizumab</td>
<td align="left" valign="top">CTLA-4xLAG-3, PD-1</td>
<td align="left" valign="top">Safety, tolerability</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03517488</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">154</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">XmAb<sup>&#x000AE;</sup> 22842</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">CTLA-4xLAG-3</td>
<td align="left" valign="top">Safety, tolerability</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03219268</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">353 N/A</td>
<td align="left" valign="top">Tebotelimab</td>
<td align="left" valign="top">Tebotelimab plus margetuximab</td>
<td align="left" valign="top">PD-1xLAG-3, HER2</td>
<td align="left" valign="top">Safety, tolerability</td>
<td align="left" valign="top">Active, not recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT04802876</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">141N/A</td>
<td align="left" valign="top">Spartalizumab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td rowspan="15" align="left" valign="top">ICIs + chemotherapy</td>
<td align="left" valign="top">NCT04066491</td>
<td align="left" valign="top">2/3</td>
<td align="left" valign="top">First line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">309 Randomized</td>
<td align="left" valign="top"/>
<td align="left" valign="top">M7824 plus GC GC</td>
<td align="left" valign="top">Placebo plus L1xTGF-&#x003B2;</td>
<td align="left" valign="top">PD-</td>
<td align="left" valign="top">Safety, OS recruiting</td>
<td align="left" valign="top">Active, not</td></tr>
<tr>
<td align="left" valign="top">NCT03046862</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">31 N/A</td>
<td align="left" valign="top">Durvalumab or tremelimumab plus GC</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-L1, CTAL-4</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Active, not recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT03875235</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">810 Randomized</td>
<td align="left" valign="top">plus GC</td>
<td align="left" valign="top">Durvalumab GC</td>
<td align="left" valign="top">Placebo plus</td>
<td align="left" valign="top">PD-L1</td>
<td align="left" valign="top">OS recruiting</td>
<td align="left" valign="top">Active, not</td></tr>
<tr>
<td align="left" valign="top">NCT04003636</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">1,048 Randomized</td>
<td align="left" valign="top">plus GC</td>
<td align="left" valign="top">Pembrolizumab GC</td>
<td align="left" valign="top">Placebo plus</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">OS recruiting</td>
<td align="left" valign="top">Active, not</td></tr>
<tr>
<td align="left" valign="top">NCT03260712</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">50 N/A</td>
<td align="left" valign="top">Pembrolizumab plus GC</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">PFS at 6 months</td>
<td align="left" valign="top">Active, not recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT03796429</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">40 N/A</td>
<td align="left" valign="top">Toripalimab plus GS</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">PFS, OS</td>
<td align="left" valign="top">Recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT04172402</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">48 N/A</td>
<td align="left" valign="top">Nivolumab plus GS</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Active, not recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT04027764</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">30 N/A</td>
<td align="left" valign="top">Toripalimab plus S1 plus albumin paclitaxel</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT03478488</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">480 Randomized</td>
<td align="left" valign="top">GEMOX</td>
<td align="left" valign="top">KN035 plus</td>
<td align="left" valign="top">GEMOX</td>
<td align="left" valign="top">PD-L1</td>
<td align="left" valign="top">OS</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03785873</td>
<td align="left" valign="top">1b/2</td>
<td align="left" valign="top">Second-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">34 N/A</td>
<td align="left" valign="top">Nivolumab plus 5-FU plus Nal-Irinotecan</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">Safety, tolerability, PFS</td>
<td align="left" valign="top">Active, not recruiting</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">NCT03704480</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">102 Randomized</td>
<td align="left" valign="top">plus tremelimumab</td>
<td align="left" valign="top">Durvalumab plus tremelimumab plus Paclitaxel</td>
<td align="left" valign="top">Durvalumab CTLA-4</td>
<td align="left" valign="top">PD-L1,</td>
<td align="left" valign="top">PFS</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03111732</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">11</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab plus oxaliplatin plus capecitabine</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">PFS</td>
<td align="left" valign="top">Completed</td></tr>
<tr>
<td align="left" valign="top">NCT03101566</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">75</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Nivolumab plus GC</td>
<td align="left" valign="top">Nivolumab plus ipilimumab</td>
<td align="left" valign="top">PD-1, CTLA-4</td>
<td align="left" valign="top">PFS at 6 months</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04295317</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">65</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">SHR-1210 plus capecitabine</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">RFS</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03311789</td>
<td align="left" valign="top">1/2</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">CCA,</td>
<td align="left" valign="top">30</td>
<td align="left" valign="top">N/A GBC</td>
<td align="left" valign="top">Nivolumab or SHR-1210 plus GC</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">PFS at 6 months</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td rowspan="10" align="left" valign="top">ICIs + targeted therapy</td>
<td align="left" valign="top">NCT04361331</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">60</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Toripalimab plus lenvatinib</td>
<td align="left" valign="top">Lenvatinib plus GEMOX</td>
<td align="left" valign="top">PD-1, TKI</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03895970</td>
<td align="left" valign="top">2b</td>
<td align="left" valign="top">Second-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">50</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab plus lenvatinib</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1, TKI</td>
<td align="left" valign="top">ORR, DCR, PFS</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT02443324</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">298</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab plus ramucirumab</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1, VEGFR-2 PD-1,</td>
<td align="left" valign="top">Safety, Tolerability</td>
<td align="left" valign="top">Completed</td></tr>
<tr>
<td align="left" valign="top">NCT05174650</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">37</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Atezolizumab plus derazantinib</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">FGFR1/2/3</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04298021</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">74</td>
<td align="left" valign="top">Non-Randomized</td>
<td align="left" valign="top">Durvalumab plus AZD6738</td>
<td align="left" valign="top">AZD6738 + Olaparib</td>
<td align="left" valign="top">PD-L1, ATR/ATM, PARP</td>
<td align="left" valign="top">DCR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03475953</td>
<td align="left" valign="top">1/2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">482</td>
<td align="left" valign="top">Non-Randomized</td>
<td align="left" valign="top">Avelumab plus regorafenib</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-L1, TKI</td>
<td align="left" valign="top">RP2D, ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04550624</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">40</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab plus lenvatinib</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-2, TKI</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04298008</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Third-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">26</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Durvalumab + AZD6738</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-L1, ATR/ATM</td>
<td align="left" valign="top">DCR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT05010681</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">25</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Sintilimab plus lenvatinib</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1, TKI</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03639935</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Maintenance after first line platinum-based systemic chemo-therapy</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">35</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Nivolumab plus rucaparib</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1, PARP</td>
<td align="left" valign="top">Proportion of patients alive and without radiological or clinical progression at 4 months</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td rowspan="5" align="left" valign="top">ICIs + Chemotherapy+ Target therapy</td>
<td align="left" valign="top">NCT04300959</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">80</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Sintilimab plus anlotinib plus GC</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1, PDGFR, FGFR, VEGFR and c-KIT kinase</td>
<td align="left" valign="top">12 months OS rate</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT05342194</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">480</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Toripalimab plus lenvatinib plus GEMOX/GC</td>
<td align="left" valign="top">Placebo plus GEMOX/GC</td>
<td align="left" valign="top">PD-1, TKI</td>
<td align="left" valign="top">OS</td>
<td align="left" valign="top">Not yet recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03951597</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">30</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">JS001 plus Lenvatinib plus GEMOX</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1, TKI</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Active, not recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT05211323</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">88</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Atezolizumab plus bevacizumab plus GC</td>
<td align="left" valign="top">GC</td>
<td align="left" valign="top">PD-1, VEGFR</td>
<td align="left" valign="top">PFS</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04506281</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">NAT</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">128</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Toripalimab plus lenvatinib plus GEMOX</td>
<td align="left" valign="top">Capecitabine</td>
<td align="left" valign="top">PD-1, TKI</td>
<td align="left" valign="top">Event-free survival</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td rowspan="5" align="left" valign="top">ICIs + other therapy</td>
<td align="left" valign="top">NCT03937895</td>
<td align="left" valign="top">1/2a</td>
<td align="left" valign="top">First-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">40</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Pembrolizumab plus allogeneic natural killer cell</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">Safety, Tolerability, ORR</td>
<td align="left" valign="top">Completed</td></tr>
<tr>
<td align="left" valign="top">NCT04866836</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">20</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Tislelizumab plus radiotherapy</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04068194</td>
<td align="left" valign="top">1/2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">39</td>
<td align="left" valign="top">Randomized</td>
<td align="left" valign="top">Avelumab plus peposertib plus hypofractionated RT</td>
<td align="left" valign="top">Avelumab plus hypofractionated RT</td>
<td align="left" valign="top">PD-L1, DNA-PK</td>
<td align="left" valign="top">Safety, Tolerability, ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT05010668</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">25</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Sintilimab plus lenvatinib plus cryoablation</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1,TKI</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04299581</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">25</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Camrelizumab plus cryoablation</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">PD-1</td>
<td align="left" valign="top">ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td rowspan="3" align="left" valign="top">CAR-T</td>
<td align="left" valign="top">NCT03633773</td>
<td align="left" valign="top">1/2</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">ICC</td>
<td align="left" valign="top">9</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">MUC-1 CART plus fludarabine plus cyclophosphamide</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">MUC-1</td>
<td align="left" valign="top">DCR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT04951141</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">10</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">anti-GPC3 CAR-T</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">GPC3</td>
<td align="left" valign="top">Safety</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT05194735</td>
<td align="left" valign="top">1/2</td>
<td align="left" valign="top">Second- or later-line</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">180</td>
<td align="left" valign="top">Non-randomized</td>
<td align="left" valign="top">TCR-T-cell drug product</td>
<td align="left" valign="top">TCR-T-cell drug product plus IL-2</td>
<td align="left" valign="top">Neoantigens</td>
<td align="left" valign="top">Safety-ORR</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td rowspan="2" align="left" valign="top">Cancer vaccines</td>
<td align="left" valign="top">NCT04853017</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">AT</td>
<td align="left" valign="top">CCA, GBC</td>
<td align="left" valign="top">18</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">ELI-002 2P Amph-CpG-7909 admixed with Amph modified KRAS peptides</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">KRAS</td>
<td align="left" valign="top">MTD, Safety</td>
<td align="left" valign="top">Recruiting</td></tr>
<tr>
<td align="left" valign="top">NCT03942328</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">CCA</td>
<td align="left" valign="top">26</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">EBRT, autologous DCs, pneumococcal 13-valent conjugate vaccine</td>
<td align="left" valign="top">N/A</td>
<td align="left" valign="top">Dendritic cells</td>
<td align="left" valign="top">Safety</td>
<td align="left" valign="top">Recruiting</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-63-06-05585">
<p>CCA, cholangiocarcinoma; BTC, biliary tract cancer; GBC, gallbladder cancer; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; CTLA-4, cytotoxic T-lymphocyte-associated antigen-4; LAG-3, lymphocyte-activation gene 3; DCR, disease control rate; 5-FU, 5-fluorouracil; GC, gemcitabine and cisplatin; GEMOX, gemcitabine and oxaliplatin; GS, gemcitabine and S-1; MTD, highest dose level for which &gt;33% of subjects had a dose-limiting toxicity; N/A, not available; AT, adjuvant therapy; ORR, objective response rate; OS, overall survival; PFS, progression-free survival; RFS, recurrence-free survival; RP2D, recommended phase 2 dose; RT, radiotherapy.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
