REVIEW article

Front. Immunol., 08 May 2026

Sec. Cancer Immunity and Immunotherapy

Volume 17 - 2026 | https://doi.org/10.3389/fimmu.2026.1757504

Harnessing cellular immunotherapy for cholangiocarcinoma: an integrated roadmap for overcoming resistance

  • 1. Division of Surgery & Interventional Sciences, Royal Free Hospital, University College London, London, United Kingdom

  • 2. Thoracic Oncology Immunotherapy Group, Division of Cancer Biology, Institute of Cancer Research, Sutton, United Kingdom

Abstract

The rising global incidence and dismal prognosis of cholangiocarcinoma (CCA) underscore the profound limitations of standard therapies. While chimeric antigen receptor (CAR)-based cellular immunotherapies represent a paradigm shift in oncology, their success in CCA is fundamentally constrained by a desmoplastic, immunosuppressive tumour microenvironment (TME) and significant tumour antigen heterogeneity. This review advances the thesis that overcoming these barriers requires an integrated approach combining multi-antigen, armoured CAR designs with rational adjuvant strategies (i.e combination therapy). We provide a comparative analysis of key tumour-associated antigens (TAAs)-including MUC1, c-MET, and the cancer stem cell marker CD133-evaluating their expression profiles, preclinical efficacy, and clinical status. The review further deconstructs the core mechanisms of therapeutic resistance in CCA-spanning physical, immunological, and metabolic barriers-and map them to next-generation engineering strategies designed to counteract them. In a novel synthesis, we explore the synergistic potential of combining CAR therapies with checkpoint inhibitors and immunomodulatory natural compounds. Critically appraising the current clinical trial landscape, we identify key weaknesses and propose strategic recommendations for biomarker-driven, adaptive trial designs. Finally, we present a forward-looking, four-pillar roadmap for future research, positioning the integration of advanced CAR engineering, multi-antigen platforms, synergistic adjuvants, and alternative effectors as the definitive research agenda for translating the promise of cellular immunotherapy into a clinical reality for CCA.

1 Introduction

Cholangiocarcinoma (CCA), an aggressive malignancy of the biliary tract, represents a growing global health challenge with a persistently high mortality rate (13). The failure of standard treatments-including surgery, chemotherapy, and radiation-to provide curative treatment or durable responses for many patients highlights an urgent, unmet clinical need (46). More recently, immunotherapies based on immune checkpoint inhibitors, while transformative in other cancers, have yielded only modest benefits in advanced CCA. In previously treated disease, single-agent PD-1 blockade has demonstrated objective response rates (ORR) of approximately 5–13%, with median overall survival (OS) typically ranging from 7 to 9 months in unselected populations (7). The addition of durvalumab to gemcitabine–cisplatin in the TOPAZ-1 trial improved median OS from 11.5 to 12.9 months, with a 24-month survival rate of 24.9% vs. 10.4% for chemotherapy alone, establishing chemo-immunotherapy as a new first-line standard (8, 9). However, durable responses remain limited to a minority of patients, largely due to its non-T-cell inflamed, immunosuppressive tumour microenvironment (TME) characteristic of CCA (1013).

Cellular therapies, particularly those using chimeric antigen receptor (CAR)-engineered T cells and Natural Killer (NK) cells, offer a paradigm shift (1419). By redirecting immune effectors to target tumour-associated antigens (TAAs) directly and independent of the major histocompatibility complex (MHC), they have the potential to overcome the limitations of conventional treatments (14, 2023). However, early efforts in CCA have been met with formidable biological resistance (16, 24). In CCA, these challenges are magnified by its fibrotic, immune-excluded stroma and paucity of tumour-specific antigens. Nonetheless, the emergence of new molecular targets-such as Claudin 18.2, MUC1, HER2, and EGFR-has renewed interest in adoptive cell therapy for CCA.

This review advances the core thesis that overcoming antigen heterogeneity and the immunosuppressive TME in CCA requires integrated multi-antigen, armoured CAR designs combined with rational synergistic strategies. By synthesizing preclinical innovations, critically appraising the clinical landscape, and proposing a strategic roadmap, we aim to define the future research agenda for cellular immunotherapy in cholangiocarcinoma.

2 Comparative landscape of actionable targets in CCA

The foundation of effective CAR therapy rests on identifying and validating suitable TAAs (25). The ideal target exhibits high, uniform expression on malignant cells, minimal presence on healthy tissues, functional relevance to tumour biology, and accessibility on the cell surface. While no perfect antigen exists in CCA, a comparative synthesis of preclinical and clinical evidence has identified several high-priority candidates with distinct biological rationales and translational potential. Here, we provide a systematic, antigen-by-antigen analysis that contextualizes expression patterns, CCA-specific challenges, and the current evidence base supporting their therapeutic pursuit. While the provided sources do not contain sufficient pooled cohort data to perform a formal meta-analysis of antigen prevalence, a comparative synthesis of the existing literature reveals several high-priority candidates, each with a distinct profile of opportunities and risks is summarised in Table 1.

Table 1

Target antigenExpression profile in CCAAdvantages & preclinical efficacy highlightsLimitations & toxicity risksClinical status
MUC1Highly expressed (50-86.5% of tissues); associated with poor prognosis.Tumour-specific hypoglycosylated forms allow for high specificity. 4th-gen CAR-T cells show potent lysis (~66%) and disrupt 3D spheroids.Low risk when targeting tumour-specific glycoforms.Multiple Phase I/II trials ongoing for solid tumours (e.g., NCT04025216, NCT05239143) (26, 27).
c-METHigh expression in up to 91.3% of tissues; correlates with poor prognosis and shorter survival.Strong CAR-NK cell-mediated killing demonstrated; efficacy correlates with expression level.On-target, off-tumour toxicity is a concern as c-MET is found in some adjacent normal tissues.Preclinical; no published trial results for CCA (14, 15, 2830).
CD133Cancer Stem Cell (CSC) marker; high expression in ~81% of CCA tissues. Associated with progression and recurrence.Targets the root of tumour recurrence. 4th-gen CAR-T cells show potent cytotoxicity (~58%) and cytokine production.Potential risk of targeting normal stem or progenitor cells that may express CD133.Phase I trial (NCT02541370) reported a 4.5-month PR in a single patient as part of cocktail therapy (31).
EGFRAbundant expression reported in CCA tumour tissues.Clinical activity demonstrated with both CR and PRs reported.High risk of on-target, off-tumour toxicity (skin, pulmonary, endothelial) due to widespread normal tissue expression.Multiple Phase I trials completed; 1 CR, 10 SD (NCT01869166) and 4 PR, 8 SD reported (32).
HER2Expressed in a subset of intrahepatic and extrahepatic CCA.Validated target in other solid tumours.Known risk of cardiotoxicity if not carefully managed.Phase I study (NCT01935843) in BTCs/pancreatic cancers showed 1 PR, 5 SD (28).
CLDN18.2Expression in CCA makes it a promising candidate, validated in other GI cancers.High specificity as normal-tissue expression is limited to gastric mucosa tight junctions.Low toxicity reported in clinical trials for gastric cancer.Phase I trials (NCT03159819, NCT03874897) ongoing/completed; responses observed in GI cancers (33, 34).

Comparative analysis of key antigen targets for CAR-based therapy in cholangiocarcinoma.

2.1 MUC1: a high-frequency target with clinical precedent

Mucin 1 (MUC1) (Figure 1) is aberrantly overexpressed in approximately 60–80% of CCA cases, with significantly higher levels than in adjacent normal bile duct epithelium (16, 35). Malignant transformation is associated with loss of epithelial polarity and hypoglycosylation, exposing tumour-associated epitopes that create a therapeutic window for selective targeting. In preclinical studies specifically in CCA models, fourth-generation anti-MUC1 CAR-T cells demonstrated potent cytotoxicity (66% lysis of KKU-213A CCA cells at 5:1 E:T ratio) and effective disruption of three-dimensional tumour spheroids (36). These anti-MUC1-CAR4 T cells produced increased levels of TNF-α, IFN-γ, and granzyme B when exposed to MUC1-expressing CCA cells, while showing negligible activity against immortalized cholangiocytes (36).

Figure 1

2.1.1 Clinical relevance in CCA

MUC1 expression correlates with advanced stage, lymph node metastasis, and poorer prognosis (37, 38), suggesting that MUC1-high tumours represent an aggressive biological subset that could benefit from intensive immunotherapy. Given the established safety profile and moderate clinical activity, MUC1 remains a rational backbone for multi-antigen CAR strategies.

While MUC1-directed CAR-T therapy has entered clinical trials for multiple solid tumours (i.e HCC, pancreatic, breast tumours) (NCT02587689, NCT04020575, NCT04025216), published results specifically in CCA patients remain unavailable (26, 39). The principal challenge with MUC1 targeting lies in its expression on normal epithelia, necessitating CAR designs optimized for tumour-specific glycoform recognition.

2.2 c-MET: exploiting receptor tyrosine kinase addiction

The hepatocyte growth factor (HGF)/c-MET signalling axis plays a central role in CCA pathogenesis and progression (Figure 2) (40). Immunohistochemical analyses demonstrate c-MET protein expression in 45.0% of intrahepatic CCA and 68.4% of extrahepatic CCA cases, with high-level overexpression observed in 11.7% and 16.2%, respectively (41, 42). Molecular profiling further identifies c-MET gene amplification in a substantial subset of intrahepatic CCA, including 15.8% with high-frequency amplification (c-MET/CEP7 ratio >4.0) and 30.8% with low-frequency amplification, with high-level amplification strongly correlating with protein overexpression and aggressive clinicopathologic features (42).

Figure 2

Functionally, HGF-mediated activation of c-MET triggers MEK/MAPK signalling, promoting epithelial–mesenchymal transition (EMT), invasion, angiogenesis, and resistance to apoptosis (40, 43). Inhibition of c-MET signalling using small interfering RNA or MEK blockade suppresses HGF-induced invasion in CCA cell lines, confirming its mechanistic role in tumour aggressiveness (43).

2.2.1 Clinical relevance in CCA

c-MET high expression is significantly associated with poor prognosis and reduced 5-year survival in both intrahepatic CCA (p=0.0013) and overall CCA cohorts (p=0.0046) (41). High-frequency amplification defines a more aggressive molecular subset and represents a potential biomarker for patient stratification (42). Given its direct contribution to invasion and metastasis, c-MET remains a biologically rational therapeutic target in advanced CCA, although CAR-T strategies targeting c-MET have not yet entered clinical evaluation and remain a future translational opportunity (43).

2.3 CD133: targeting the cancer stem cell niche

CD133 (prominin-1) marks a cancer stem-like cell (CSC) subpopulation in CCA that exhibits disproportionate tumorigenic capacity and aggressive biological behaviour (44, 45). Immunohistochemical studies demonstrate CD133 expression in 48-68% of CCA specimens, with expression patterns varying by tumour differentiation status (4446). CD133-positive cells isolated from CCA cell lines display enhanced invasive capacity compared to CD133-depleted populations, supporting their role in metastatic progression (44).

The prognostic significance of CD133 expression in CCA remains complex and somewhat controversial. Shimada et al. reported that CD133-positive intrahepatic CCA patients had markedly inferior outcomes, with 5-year survival rates of 8.0% compared to 57.0% in CD133-negative patients (45). This finding was corroborated by Leelawat et al., who demonstrated that strong CD133 expression (>50% of cells) was significantly associated with lymph node metastasis (p=0.009) and positive surgical margins (p=0.011) (44). However, some studies have reported opposite findings, with CD133 expression correlating with better differentiation and improved prognosis (46), highlighting tumour heterogeneity and the need for standardized assessment criteria.

2.3.1 Clinical translation of CD133-directed CAR-T therapy

A case report by Feng et al. described sequential treatment with EGFR-CAR-T followed by CD133-CAR-T cells in a 52-year-old woman with advanced metastatic CCA who had failed chemotherapy and radiotherapy (47). The patient achieved an 8.5-month partial response following EGFR-CAR-T therapy and a subsequent 4.5-month partial response with CD133-CAR-T treatment. However, the therapy was associated with significant toxicity, including skin rashes with epidermal loss and vascular damage (47). A subsequent Phase I/II trial evaluating CD133-CAR-T cells across multiple solid tumours included one CCA patient who developed Grade 3 cytokine release syndrome and skin/mucosal vasculature damage but achieved a 4.5-month partial remission (48).

2.3.2 Safety considerations

Although CD133 is expressed on normal stem cells (hematopoietic, intestinal, neural progenitors), the limited clinical experience to date has not revealed dose-limiting hematologic or neurologic toxicity in the small number of patients treated (48). However, dermatologic and vascular toxicities have been observed, and long-term safety data remain limited.

2.3.3 Clinical relevance in CCA

Elevated CD133 expression correlates with aggressive disease features including lymph node metastasis, positive surgical margins, and intrahepatic metastasis (44, 45). When present, CD133 positivity identifies a subset of patients with significantly worse prognosis who may benefit from stem-cell-directed therapeutic strategies, though further clinical validation is required to establish CD133-targeted CAR-T therapy as a viable treatment approach for CCA. An ongoing Phase I/II dose-escalation trial (NCT02541370) is aimed at evaluating CD133-CAR-T cells across multiple CD133-positive malignancies including cholangiocarcinoma (31).

2.4 EGFR: leveraging growth factor dependence

Epidermal growth factor receptor (EGFR) is overexpressed in 19-31% of CCA cases, with higher expression in intrahepatic (27-31%) compared to extrahepatic (19-21%) subtypes (4951). EGFR functions as an oncogenic receptor tyrosine kinase that drives tumour proliferation, invasion, and metastatic progression through activation of MAPK and PI3K/AKT signalling pathways (Figure 3) (41, 49, 52, 53). EGFR overexpression correlates with aggressive clinicopathological features including lymph node metastasis (p=0.0006), advanced tumour stage, lymphatic vessel invasion, and perineural invasion, and serves as an independent prognostic factor for reduced overall survival (HR 2.67, 95% CI 1.52-4.69, p=0.0006) and increased tumour recurrence risk (HR 1.89, p=0.0335) in intrahepatic cholangiocarcinoma (49, 51, 54, 55).

Figure 3

Early-phase clinical translation of EGFR-directed CAR-T cell therapy has demonstrated proof-of-concept activity in advanced biliary tract cancers. Guo et al. reported a Phase I trial (NCT01869166) (32) of EGFR-CAR-T cells in 19 patients (14 cholangiocarcinoma, 5 gallbladder) with EGFR-positive (>50%) advanced disease (56). Following conditioning chemotherapy with nab-paclitaxel and cyclophosphamide, patients received CAR-T cell infusions at median dose 2.65×106;/kg. Among 17 evaluable patients, one achieved complete response and ten achieved stable disease, with median progression-free survival of 4 months (57). Treatment was generally well-tolerated, though grade ≥3 acute fever/chills occurred in 3 patients, alongside manageable mucosal/cutaneous toxicities and pulmonary oedema (57). As previously mentioned in section 2.3, Feng et al. reported on a sequential EGFR- and CD133-directed CAR-T therapy in a single patient with metastatic cholangiocarcinoma, achieving 8.5-month and 4.5-month partial responses respectively, though with significant epidermal and vascular toxicities requiring further investigation (58).

2.4.1 Clinical relevance in CCA

EGFR expression identifies a biologically aggressive subset of CCA with significantly worse prognosis following standard therapy. The dual role of EGFR as both a proliferative driver and validated immunotherapeutic target provides strong biological rationale for continued clinical development, particularly in combinatorial strategies addressing tumour heterogeneity and resistance mechanisms. However, current evidence remains limited to early-phase trials, and larger studies are needed to establish clinical efficacy and optimal patient selection criteria.

2.5 HER2: anatomically stratified expression and emerging therapeutic target

HER2 expression in CCA demonstrates marked anatomical heterogeneity, with significantly higher overexpression rates in extrahepatic subtypes (17–20%) compared to intrahepatic CCA (approximately 1–5%, p=0.0049) (49, 59). HER2 positivity is particularly enriched in gallbladder carcinoma and intraductal papillary neoplasms with invasive components, reflecting distinct molecular pathogenesis across biliary tract subtypes (60, 61). Clinically, HER2 overexpression correlates with adverse prognostic features and independently predicts worse survival (HR 3.08, p=0.01) (62), with shorter progression-free survival on standard chemotherapy (5.1 vs 7.4 months, p<0.001) (60). Early translational efforts have demonstrated feasibility of HER2-targeted CAR-T therapy, with Phase I data showing partial responses and disease stabilization in advanced biliary cancers (63). More recently, the antibody–drug conjugate trastuzumab deruxtecan has shown encouraging activity in HER2-positive biliary tract cancers, achieving a 36% objective response rate in the HERB trial (64).

2.5.1 Clinical relevance in CCA

HER2 expression defines a molecularly distinct and anatomically stratified subset of cholangiocarcinoma associated with inferior outcomes on conventional therapy. The higher prevalence in extrahepatic disease has important implications for precision patient selection. While HER2-directed CAR-T therapy demonstrates early feasibility, antibody–drug conjugates and emerging bispecific platforms may offer improved therapeutic indices. Expansion of the HER2-low category further broadens the actionable population, though standardized HER2 testing across biliary subtypes remains essential for optimal clinical trial stratification.

2.6 CLDN18.2: a tight junction protein with emerging therapeutic potential

Claudin-18 isoform 2 (CLDN18.2) is a tight junction protein normally restricted to differentiated gastric epithelial cells but aberrantly expressed in a subset of CCA cases (6568). While overall expression rates are modest (5–13% of CCA cases meeting the ≥75% moderate-to-strong threshold used in gastric cancer trials) (65, 66, 69), expression shows marked anatomical heterogeneity, with significantly higher rates in extrahepatic subtypes: perihilar CCA (22–27%) (65, 69), distal CCA (16–18%) (66, 69), and gallbladder carcinoma (16–63%) (65, 68), compared to intrahepatic CCA (2–7%) (65, 68, 69). The restricted tissue distribution of CLDN18.2 in normal tissues and its surface accessibility following malignant transformation make it an attractive therapeutic target (67), supported by clinical validation in gastric cancer where the monoclonal antibody zolbetuximab recently gained FDA approval (70). Early-phase CAR-T trials targeting CLDN18.2 have demonstrated proof-of-concept efficacy in gastric and pancreatic cancers, with manageable on-target, off-tumour toxicity primarily limited to low-grade gastritis (71). A Phase I/II trial (NCT04404595) is evaluating CLDN18.2-directed CAR-T cells (CT041) in patients with advanced digestive system cancers, including biliary tract cancers (72).

2.6.1 Clinical relevance in CCA

CLDN18.2 expression defines an anatomically stratified subset of CCA, with higher prevalence in extrahepatic and perihilar locations (6567, 69). In intrahepatic CCA, CLDN18.2 positivity has been identified as an independent adverse prognostic factor (HR 2.56, 95% CI 1.25–5.22, p=0.01) associated with reduced CD8+ T-cell infiltration and early recurrence, suggesting a biologically aggressive, immune-excluded phenotype (73). The low overall prevalence (5–13%) necessitates routine CLDN18.2 screening to identify candidates for emerging targeted therapies, including monoclonal antibodies, antibody-drug conjugates, and cellular immunotherapies (68, 70). Standardized immunohistochemical testing using validated assays (VENTANA CLDN18 43-14A) with the established ≥75% moderate-to-strong staining threshold is essential for patient selection (65, 66, 69, 70). The potential for synergistic benefit when combining CLDN18.2-targeted therapy with immune checkpoint blockade or strategies to reverse CD8+ T-cell exclusion warrants investigation in CLDN18.2-positive CCA (73).

3 Mechanisms of resistance to CAR therapy in CCA

The clinical efficacy of CAR-based therapies in CCA is fundamentally limited by a “resistance map” of barriers operating at the level of the tumour cell, the stroma, and the immune system (Figure 4) (17, 22, 74, 75). These include molecular mechanisms of immune evasion, mechanical and hypoxic barriers imposed by the stroma, and the recruitment of immunosuppressive cell subsets that remodel the metabolic and cytokine milieu-highlighting the need for multimodal approaches such as stroma modulation or local ablation (e.g., histotripsy) to enhance CAR-T efficacy.

Figure 4

At the level of the tumour cell, resistance primarily involves mechanisms of antigen escape (10, 76, 77), where malignant cells evade detection by downregulating or losing the targeted surface antigen (a phenomenon often seen due to genetic or epigenetic changes), and through the inherent resistance of cancer cells to T-cell-mediated killing (7880). The dense, desmoplastic stroma, a defining feature of CCA, acts as a significant physical and functional barrier (81, 82). It’s this feature, dense connective tissue, that not only restricts CAR T-cell trafficking and infiltration into the tumour core, but the tumour matrix also actively secretes immunosuppressive and pro-fibrotic factors, such as Transforming Growth Factor-beta (TGF-β) (8189).

Finally, the immune system resistance is driven by the highly suppressive tumour microenvironment (TME) (Figure 5) (10). Eventually the environment of the CCA is replete with inhibitory cellular components, including Myeloid-Derived Suppressor Cells (MDSCs), Tumour-Associated Macrophages (TAMs), and Regulatory T cells (Tregs), which collectively induce CAR T-cell exhaustion and anergy, thereby preventing durable anti-tumour persistence and limiting clinical response (12, 30, 78, 9094). Addressing the multifaceted resistance map is essential for developing next-generation CAR-based strategies that can succeed against CCA.

Figure 5

3.1 Physical barriers: the desmoplastic stroma

CCA is characterized by a substantial desmoplastic TME, composed of a dense ECM, cancer associated fibroblasts (CAFs), and other stromal cells (83, 9497). The fibrotic milieu creates a formidable barrier that physically impedes CAR-T and CAR-NK cell trafficking and infiltration into the tumour core, effectively creating an “immune desert” and preventing effector cells from reaching their targets (98, 99).

The ECM network, rich in collagen type I, fibronectin, and laminin, forms a mechanically rigid scaffold that increases interstitial fluid pressure and restricts lymphocyte trafficking (14, 30, 98). CAFs (Figure 6), which dominate the stroma, secrete TGF-β (100102), PDGF (103106), and LOX family enzymes (107111) that further cross-link collagen fibres, exacerbating fibrosis and promoting tumour progression (16). The increased ECM stiffness enhances integrin signalling and focal adhesion kinase (FAK) activation in tumour cells, driving proliferation, epithelial–mesenchymal transition (EMT), and invasive behaviour. The dense desmoplastic barrier not only restricts immune infiltration but also hinders drug perfusion, thereby contributing to multi-modal therapy resistance.

Figure 6

Mechanistically, CAFs interact with TAMs and endothelial cells, secreting CXCL12 and VEGF, which disorganize tumour vasculature and misdirect immune cell chemotaxis (16, 94, 112117). Critically, the immunosuppressive functions of CAFs in CCA extend well beyond their role as physical barriers. In iCCA, FAP-expressing CAFs activate STAT3 signalling, which drives the production and secretion of CCL2-the principal monocyte chemoattractant in the CCA microenvironment (118). FAP+ CAFs are the primary source of CCL2 in human iCCA tissue, and this chemokine recruits CCR2-expressing MDSCs into the tumour stroma, where they suppress cytotoxic CD8+ T-cell responses and promote angiogenesis (118, 119). Depletion of MDSCs or blockade of the FAP/STAT3/CCL2 axis abrogates the tumour-promoting effects of CAFs in preclinical iCCA models, confirming that the pro-tumour function of fibroblastic FAP operates primarily through immunosuppressive myeloid cell recruitment rather than direct effects on tumour cell proliferation (119). Furthermore, FAP+ CAFs in iCCA secrete IL-6 and IL-33, which act on MDSCs to trigger STAT3-mediated hyperactivation of 5-lipoxygenase, resulting in leukotriene B4 release that sustains cancer stemness properties in iCCA cells (120). This CAF–MDSC–stemness axis represents a mechanistically distinct pathway through which fibroblasts indirectly promote therapeutic resistance and tumour recurrence. Beyond myeloid cell recruitment, CAFs in CCA also contribute to immunosuppression through direct modulation of immune checkpoint signalling. Conditioned medium from activated hepatic stellate cells-a major CAF precursor in CCA-stimulates macrophage differentiation through IL-6 and TGF-β production, while FAP+ CAFs simultaneously decrease the frequency of IFN-γ-producing CD8+ T cells within the tumour (99, 121). More recently, bile acids-which are present at exceptionally high concentrations in the biliary microenvironment-have been shown to activate GPBAR1 specifically on CCA-associated CAFs, inducing CXCL10 expression that recruits immunosuppressive neutrophils and promotes epithelial–mesenchymal transition. Notably, single-cell RNA sequencing demonstrated that GPBAR1 expression on CAFs is unique to CCA among the cancer types examined, and inhibition of the GPBAR1–CXCL10 axis enhanced the efficacy of anti-PD-1 therapy in multiple preclinical CCA models (122). Collectively, these findings establish that CAFs in CCA function as active orchestrators of an immunosuppressive niche through at least three convergent mechanisms: MDSC recruitment via CCL2, macrophage polarisation via IL-6/TGF-β, and neutrophil recruitment via bile acid–GPBAR1–CXCL10 signalling-each of which directly impairs the anti-tumour immune response and has implications for the efficacy of adoptive cellular immunotherapies.

Presence of aberrant vasculature contributes to hypoxia, a hallmark of CCA, which in turn upregulates HIF-1α, which is stabilized under these conditions, driving transcription of genes that promote angiogenesis (VEGF, PDGF) and fibrogenesis, while simultaneously promotes immune checkpoint ligand expression (e.g., PD-L1). Together, these events compound immune exclusion and CAR-T inefficacy (123126).

Recent translational studies have identified several strategies to mitigate stromal barriers. For example, FAP-targeted CAR-T therapy, which depletes CAFs, has been shown to reduce matrix rigidity and enhance T-cell infiltration in preclinical models (127). Similarly, enzymatic desmoplasia modulation - via hyaluronidase or collagenase - has shown promise in enhancing CAR-T penetration into dense CCA tissues (128). Matrix metalloproteinases (MMPs) play dual roles in cancer (129131), with broad-spectrum inhibitors failing in trials due to suppression of anti-tumour MMPs (129, 130) and disruption of immune cell trafficking (132), necessitating selective targeting approaches (133).

Therefore, the desmoplastic stroma represents not just a passive fibrotic structure but an active immunoregulatory component of the CCA microenvironment. Overcoming this barrier will likely require dual-targeted strategies-those that degrade or reprogram the ECM while enhancing CAR-T/NK cell trafficking, potentially transforming CCA from an “immune desert”/”Cold tumours” into an “immune-reactive”/”hot tumours” tumour.

3.2 Immunological barriers: checkpoints, suppressive cells, and cytokines

Even if CAR-T/NK cells successfully infiltrate the tumour, they encounter a profoundly immunosuppressive environment (30, 134137). Within CCA, immunosuppression is orchestrated through a complex interplay of immune checkpoint pathways, suppressive immune cell subsets, and inhibitory cytokine networks that collectively induce CAR-T/NK cell exhaustion and anergy.

3.2.1 Immune checkpoints

A defining feature of the immunosuppressive TME in CCA is the upregulation of multiple immune checkpoint pathways that act in concert to paralyze effector T cell and CAR-T cell function (138140). The coordinated expression of PD-1/PD-L1 (141147), CTLA-4 (148, 149), TIM-3 (78, 150153), LAG-3 (91, 154, 155), and TIGIT (90, 156158) establishes a state of immune exhaustion characterized by diminished cytokine release, impaired cytotoxic granule exocytosis, and metabolic dysfunction in tumour-infiltrating lymphocytes (TILs) (Figure 7). Additionally, the inhibitory interactions serve as molecular “brakes” on the immune system, enabling tumour cells to evade immune destruction and facilitating the persistence of a tolerogenic microenvironment.

Figure 7

3.2.2 Suppressive cytokines

The TME is saturated with soluble immunosuppressive factors, most notably TGF-β, IL-10, and IL-6, which directly inhibit T cell and NK cell activation, proliferation, and cytotoxic function.

TGF-β plays a dominant role in the TME (100, 159). It suppresses T-cell receptor (TCR) signalling, inhibits cytotoxic granule release, and drives CD4+ T-cell differentiation into FoxP3+ Tregs, thereby amplifying the immunosuppressive cell population within the tumour (160162). Moreover, TGF-β contributes to fibrosis and extracellular matrix remodelling, reinforcing the desmoplastic stroma that physically restricts immune cell infiltration. In CAR-T therapy, TGF-β activates SMAD2/3 signalling, inducing exhaustion and apoptosis that limit CAR-T persistence (162164). To overcome this, next-generation “armoured CARs” have incorporated dominant-negative TGF-β receptors (dnTGFβRII) to maintain effector function even in TGF-β–rich environments (165, 166).

IL-10, another major immunosuppressive cytokine in CCA, inhibits antigen-presenting cell (APC) function by downregulating MHC-II and co-stimulatory molecules, thereby limiting CAR-T/NK-cell priming and reducing IFN-γ and IL-2 production (92, 167169). Sustained IL-10 signalling also polarizes macrophages toward an M2-like phenotype, promoting angiogenesis, tumour growth, and continued cytokine-mediated suppression (170).

Meanwhile, IL-6-secreted by tumour and stromal cells-drives tumour-promoting inflammation via JAK/STAT3 activation, which enhances PD-L1 expression, T-cell exhaustion, and resistance to apoptosis (171175). Chronic IL-6/STAT3 activity also impairs dendritic cell maturation, further disrupting antigen presentation (17, 176, 177). Elevated IL-6 levels correlate with poor prognosis and reduced immunotherapy response in CCA and other solid tumours (174, 178, 179).

Together, the complex cytokine-driven network sustains a metabolically and immunologically hostile TME, impairing CAR-T and CAR-NK recruitment and persistence (180, 181). Current therapeutic strategies-such as TGF-β inhibitors (182, 183), IL-6R blockade, and IL-10 antagonists, or cytokine-resistant CAR designs (78, 184186)-aim to neutralize these pathways and reprogram the CCA microenvironment from an immunologically inert “cold” tumour into one that supports robust, sustained cytotoxic immune activity.

3.2.3 Suppressive cell populations

The TME is densely populated with myeloid-derived suppressor cells (MDSCs) and tumour-associated macrophages (TAMs), which further contribute to immune suppression and hinder CAR therapy efficacy (186, 187).

Beyond their sheer abundance, MDSCs and TAMs actively sculpt an immunosuppressive ecosystem that impedes CAR cell persistence and cytotoxicity (189191). In CCA, tumour-derived cytokines such as GM-CSF, IL-6, and VEGF drive the recruitment and expansion of these myeloid populations (10, 30, 192). Once established, MDSCs release arginase-1, nitric oxide, and reactive oxygen species, which disrupt T-cell receptor (TCR) signalling and suppress CAR-T activation (193196). Meanwhile, TAMs-particularly those polarized toward the M2 phenotype-secrete IL-10, TGF-β, and VEGF, reinforcing immune tolerance, angiogenesis, and fibrosis (197199). This crosstalk not only shields tumour cells from immune attack but also supports the desmoplastic stroma that physically restricts CAR-T and CAR-NK infiltration. Therapeutic strategies targeting these myeloid compartments-such as CSF1R inhibitors (200), CCR2 blockade, or reprogramming agents that repolarize TAMs toward an M1 phenotype (201)-are being explored to dismantle these suppressive barriers and enhance the efficacy of adoptive cellular immunotherapies in CCA.

3.3 Tumour-intrinsic barriers: antigen heterogeneity and metabolism

The tumour cells themselves employ resistance strategies.

3.3.1 Antigen heterogeneity

Antigen heterogeneity poses a major barrier to durable CAR-T efficacy in cholangiocarcinoma (CCA) (14, 188). Even within a single lesion, spatial and temporal variation in antigen expression-driven by genetic instability, epigenetic modulation, and selective immune pressure-can lead to antigen loss variants that evade CAR recognition (202, 203). Moreover, CCA frequently co-expresses multiple tumour-associated antigens (Figure 8) at varying densities, potentially limiting the depth and durability of response to single-antigen CAR strategies (14). To counter this, next-generation strategies such as dual- or tandem-CARs, logic-gated CAR circuits, and multi-targeted NK or bispecific constructs are being developed to broaden antigen coverage, reduce escape, and enhance therapeutic persistence in heterogeneous CCA tumours (213217).

Figure 8

3.3.2 Metabolic barriers

The dense and poorly vascularized TME is often hypoxic and nutrient deprived. Tumour cells outcompete immune cells for essential nutrients like glucose, creating a metabolically hostile environment that impairs the function and survival of infiltrating CAR cells (218). CCA cells engage in aerobic glycolysis (the Warburg effect), depleting glucose and producing lactate, which acidifies the TME and inhibits CAR-T and NK cell proliferation and cytokine secretion (181, 219, 220). High levels of adenosine, generated by ectoenzymes CD39/CD73, further suppress immune cell activation and survival (221224). Together, these metabolic stressors form a “nutrient competition zone” that favours tumour growth over immune effector persistence (220, 225). Targeting metabolic checkpoints-such as HIF-1α, adenosine signalling, or lactate metabolism-or reprogramming CARs with enhanced oxidative metabolism may offer promising strategies to restore CAR functionality and durability in the metabolically hostile CCA microenvironment.

4 Next-generation engineering strategies to overcome resistance

Counteracting this resistance map requires a sophisticated engineering pipeline, moving from novel target discovery to the creation of multi-functional, armoured CAR constructs (226228).

4.1 Advanced antigen discovery pipelines

The identification of better TAAs is paramount. Modern omics pipelines are accelerating this process (229232). Single-cell RNA-sequencing and spatial proteomics allow for high-resolution profiling of individual tumour cells, enabling the discovery of antigens that are consistently expressed on cancer cells but absent from critical healthy tissues (233, 234). Spatial transcriptomics adds another layer of insight by mapping antigen expression within the TME to understand heterogeneity and identify targets present on both tumour cells and supportive stromal components.

4.2 Armoured CARs to counteract immunosuppression

To survive the TME, CARs must be “armoured.” This includes (235, 236):

4.2.1 Checkpoint-resistant CARs

These are CARs engineered to be resistant to inhibitory signals (186, 237, 238). A leading example is the sextuplet-knockdown CAR-T cell, where shRNAs are used to simultaneously downregulate PD-1, TIM-3, TIGIT, and the receptors for TGF-β, IL-10, and IL-6 (78). This strategy has been shown to dramatically enhance anti-tumour activity and partially improve persistence in preclinical CCA models.

4.2.2 Cytokine-secreting CARs

Known as “T cells redirected for universal cytokine-initiated killing” (TRUCKs) (Figure 9), these CARs are engineered to secrete pro-inflammatory cytokines like IL-12 upon antigen engagement, helping to remodel the TME and recruit a broader endogenous immune response (239, 241243).

Figure 9

4.3 Multi-antigen targeting platforms

To combat antigen escape, platforms targeting multiple antigens are crucial. This has been tested clinically via a “cocktail” infusion of EGFR- and CD133-specific CAR-T cells (58). More advanced designs include dual-CARs (dCAR-T), which express two distinct scFvs to recognize two different antigens simultaneously (244). Next-generation synNotch circuits offer a logic-gated approach, where recognition of a first antigen primes the CAR-T cell to then recognize and kill cells expressing a second, more tumour-specific antigen, thereby enhancing both efficacy and safety (245, 246).

5 Synergistic adjuvant therapies

CAR cell monotherapy is unlikely to succeed in isolation against a deeply entrenched solid tumour. A key future direction is the use of rational adjuvant therapies to prime the tumour for immune attack (247250). Table 3 summarizes potential adjuvant therapies to augment CAR therapy.

Table 2

Trial IDPhaseStatusTarget antigenPatient cohortKey efficacy outcomesKey safety outcomesReference
NCT01869166Phase ICompletedEGFR CAR-Tn=14 CCA
n=5 GBC
(19 BTC total)
17 evaluable
• CR: 1/17 (5.9%)
• SD: 10/17 (58.8%)
mPFS: 4 months (range 2.5-22)
• Tcm enrichment predicted better outcomes
• Grade ≥3 AEs: 3/19 (fever/chills)
• Grade 1-2 CRS (manageable)
• Grade 1-2 skin/mucosal toxicity
• No treatment-related deaths
Guo Y, et al., 2018 (32, 56)
NCT01869166 + NCT02541370Case ReportPublished 2017Sequential
EGFR→CD133
n=1
52F advanced metastatic CCA
Failed chemo/RT
EGFR CAR-T: 8.5-month PR (>80% shrinkage)
CD133 CAR-T: 4.5-month PR after EGFR resistance
• Total duration: 13 months
EGFR: Grade 1-2 rash, manageable
CD133: Grade 3-4 rash, ascites, pleural effusion
• Required methylprednisolone + anti-TNF
On-target, off-tumour toxicity from CD133 on normal epithelium/endothelium
Feng KC, et al., 2017 (31, 32, 58)
NCT01935843Phase ICompletedHER2 CAR-Tn=4 pCCA
n=4 iCCA
(Total n=8 CCA;
11 total with 3 pancreatic)
• PR: 1/11 (9.1%) - 4.5 months PFS
• SD: 3/8 CCA patients
• PD: 4/8 CCA patients
Median PFS: 3.25 months (range 1.5-5)
• Median dose: 2.45 × 106;/kg
• Grade 3 acute febrile illness: 1 patient
• Grade 3 transaminase abnormality: 1 patient
• Mild-moderate fatigue, nausea, myalgia
• Lymphopenia (conditioning-related)
Well-tolerated overall
Feng K, et al., 2018 (63, 251)

Completed clinical trials in cholangiocarcinoma.

TOTAL PATIENTS ACROSS ALL CLINICAL TRIALS: n=23 CCA patients (14 + 1 + 8).

CR, Complete Response (tumour completely disappeared); PR, Partial Response (tumour shrunk by ≥30%); SD, Stable Disease (tumour neither grew significantly nor shrunk); PD, Progressive Disease (tumour grew/worsened); mPFS, median Progression-Free Survival (average time before cancer worsened).

Table 3

Adjuvant classMechanism of actionLevel of evidence (in CCA Context)Ref
Checkpoint InhibitorsBlock inhibitory pathways (e.g., PD-1/PD-L1) to reverse T-cell exhaustion and enhance CAR cell function.Moderate. Combination with anti-EGFR CAR-T cells has been tested clinically. Synergistic potential is high but not yet validated in large trials.(57, 58, 186)
Natural CompoundsInhibit key oncogenic pathways (PI3K/AKT, FGFR), induce apoptosis, and modulate the immune TME.Preclinical/Hypothesis-generating. Thymoquinone, curcumin, and EGCG show potent anti-CCA activity in preclinical models.(252255, 320, 321)
Small Molecule InhibitorsTarget specific mutations (e.g., FGFRi, IDHi) or signalling pathways to debulk the tumour and reduce suppressive signalling.High. FGFR and IDH inhibitors are approved for CCA. Combination with CAR therapy represents a hypothesis-generating strategy that requires preclinical validation in CCA (322325)
Stromal DisruptorsDegrade the fibrotic extracellular matrix (e.g., using enzymes like heparanase) to improve CAR cell infiltration.Preclinical. Strategies have shown promise in pancreatic cancer models but are not yet clinically validated in CCA.(238, 326, 327)

Adjuvant classes for combination with CAR therapy in CCA.

The use of natural compounds is a particularly novel, though preclinical, avenue. By inhibiting core survival pathways, these agents could lower the threshold for CAR-mediated apoptosis, while their immunomodulatory properties could help create a more favourable TME. Thymoquinone, curcumin, and EGCG demonstrate convergent anticancer mechanisms in preclinical CCA models through multi-pathway inhibition of PI3K/Akt, NF-κB, and STAT3 signalling, coupled with upregulation of pro-apoptotic mediators (BAX, DR4/DR5) and suppression of survival proteins (Bcl-2, XIAP, survivin) (252254). These agents induce mitochondrial-mediated apoptosis, inhibit invasion via MMP-2/9 downregulation, and demonstrate in vivo tumour suppression in xenograft models (254). Curcumin exhibits particular promise through synergistic enhancement of gemcitabine efficacy via LAT2/glutamine pathway disruption (255). By targeting core resistance mechanisms, these compounds may lower the apoptotic threshold for CAR-T-mediated cytotoxicity, warranting evaluation in combination immunotherapy studies despite incomplete characterization of their tumour microenvironment immunomodulatory effects.

Additionally, CCA exhibits anatomically stratified molecular alterations: FGFR2 fusions (10-15%) and IDH1 mutations (10-20%) occur almost exclusively in intrahepatic CCA, while HER2 amplifications are enriched in extrahepatic subtypes (17-20% vs 1-5% iCCA) (256260). FDA-approved inhibitors targeting these alterations (pemigatinib, futibatinib for FGFR2; ivosidenib for IDH1) induce meaningful tumour responses in molecularly selected patients (261265). Rationally designed combinations integrating these targeted agents with CAR-T therapy could enhance antigen exposure through cytoreduction, modulate the immunosuppressive tumour microenvironment, and improve CAR cell persistence. Prospective evaluation of sequential or concurrent strategies remains a critical translational priority in precision CCA therapy.

6 Clinical translation: critical appraisal and future trial design

6.1 Critical appraisal of the current clinical landscape

The current clinical trial landscape for CAR therapy in CCA (Table 2), while promising, is marked by several weaknesses (28, 266, 267). Most studies are early-phase, single-centre trials with small sample sizes, making it difficult to draw definitive conclusions (266). A key challenge observed across multiple trials is the limited persistence of CAR-T cells in vivo. Furthermore, trials often suffer from inadequate patient stratification, enrolling patients without confirming high-level expression of the target antigen, which can dilute potential efficacy signals. The risk of significant toxicity, especially on-target, off-tumour effects, remains a major concern that requires better management strategies.

6.2 Strategic recommendations for next-generation clinical trials

To overcome these limitations, future trials should be more sophisticated:

6.2.1 Biomarker-driven enrolment

Trials should mandate rigorous tumour tissue–based biomarker screening to confirm high and relatively uniform surface expression of the target antigen by immunohistochemistry, RNA profiling, or quantitative proteomics. Peripheral blood biomarkers - such as circulating tumour DNA (ctDNA) or circulating tumour cells (CTCs) - may complement tissue assessment but cannot substitute for direct antigen validation. The integration of real-time biopsies and omics analysis can guide treatment decisions and monitor for antigen loss (268271).

6.2.2 Adaptive trial designs

Given the heterogeneity of CCA, adaptive designs that allow for modifications-such as switching or adding CAR-T cell targets based on response and resistance patterns-should be implemented (272275). Although there are no CCA specific adaptive trails, this approach would require baseline and serial assessment of target antigen expression through tumour biopsies, advanced imaging, and molecular profiling (immunohistochemistry, RNA sequencing, spatial proteomics), complemented by circulating tumour DNA analysis for clonal evolution monitoring. Predefined actionable triggers - including antigen loss, emergence of alternative antigen expression, progression in antigen-low lesions, or pathway reprogramming - would permit protocol-specified interventions such as switching CAR constructs, adding dual-antigen products, or combining checkpoint blockade or targeted therapies. Successful implementation requires rapid biomarker processing, centralized molecular review, predefined decision algorithms, and regulatory frameworks supporting modular treatment arms to enable real-time therapeutic optimization while maintaining trial integrity.

6.2.3 Incorporation of safety and persistence strategies

The routine inclusion of suicide switches (e.g., iCasp9) can mitigate severe toxicities (276278). Strategies to boost persistence, such as selecting for Tcm-rich infusion products or using CARs with optimized co-stimulatory domains (like CD27), should be prioritized (279, 280).

7 A roadmap for the future

The path to making cellular immunotherapy a reality for CCA requires an integrated effort across four key pillars (Figure 10).

Figure 10

7.1 Pillar 1: advanced CAR engineering

Future research should prioritize armoured CARs designed for superior function. This means going beyond developing checkpoint resistant CARs, with simultaneous knockdown of multiple inhibitory receptors (e.g., PD-1, TIM-3, TGFβR), and creating cytokine-secreting CARs (TRUCKs) that release pro-inflammatory cytokines like IL-12 to remodel the TME (78, 235, 239, 242, 281).

CCA tumours often have a unique metabolic signature: they thrive in a low-glucose, high-fructose environment (282). Standard CAR T-cells rely heavily on glucose. In the CCA TME, the tumour hogs the glucose, starving the T-cells creating metabolic competition. One way to overcome this is to engineer CAR T-cells to express GLUT5 (a fructose transporter usually found in the gut/liver but not T-cells). This approach has been tested in AML (283, 284) and solid tumour models including prostate cancer (283, 285), with GLUT5-expressing CAR-Ts demonstrating superior cytotoxicity, migration, and in vivo tumour control compared to conventional CAR-Ts (285, 286). This approach reprograms CAR-T cell bioenergetics to exploit alternative nutrient sources within the metabolically restrictive TME, enhancing cellular persistence and anti-tumour activity. Thus, preventing exhaustion without needing to target a new surface antigen.

There is mounting evidence that bile duct and liver microbiota shape immune activation and response to immunotherapy (287). No CAR platform has yet integrated this. A hypothesis-generating approach that requires CCA-specific validation with a novel direction is to engineer CAR-T cells with Bile acid–sensitive promoters, allowing local tuning of CAR activity in the biliary tree. This turns immunotherapy into a symbiotic interface with local microbial ecology within the biliary tress.

7.2 Pillar 2: multi-antigen strategies

Since antigens on cancers and their corresponding, nonredundant, healthy tissues are identical, the lack of consistently expressed tumour antigens for solid organ malignancies now results in a lack of specificity (288). To overcome tumour heterogeneity, the field must clinically test multi-antigen targeting platforms. Promising strategies include cocktail infusions of CAR-T cells with different specificities and engineering single cells with dual- or tri-target CARs. Advanced, logic-gated systems like synNotch circuits could further enhance specificity by requiring the presence of two distinct antigens before triggering a full cytotoxic response (246, 289293).

Most multi-antigen platforms assume that antigens A and B are co-expressed in the same cell. CCA contests that presumption: specific antigens are localised at invasive fronts, others adjacent to ducts, and some within hypoxic cores (294). An anticipated improvement is the development of CAR systems that can comprehend spatial antigen patterns. For instance, a logic-gated CAR that activates exclusively in the presence of one antigen on the apical membrane and another on the basolateral membrane, leveraging the polarity loss of CCA; or CARs engineered to activate solely in the presence of two antigens at designated density ratios, thus interpreting a “CCA-specific spatial signature.” This progresses beyond dual-antigen recognition to spatial antigen computation, improving selectivity against healthy biliary epithelium.

7.3 Pillar 3: synergistic adjuvant therapies

The next wave of clinical trials should focus on rational combination strategies. This includes combining CAR cells with systemic checkpoint inhibitors (295, 296). A particularly novel avenue is the integration of natural compounds, such as curcumin and thymoquinone, which can inhibit key oncogenic pathways, modulate the immune TME, and potentially remodel the dense tumour stroma (297, 298). Combining CAR-based therapies with mechanical tumour disruptors-such as radiofrequency ablation (RFA) or high-intensity focused ultrasound (HIFU)-represents a promising strategy to maximize therapeutic impact by enhancing tumour antigen release, immune cell infiltration, and CAR effector function (299301).

7.4 Pillar 4: exploration of alternative effectors

The limitations of conventional αβ T cells necessitate the exploration of alternative immune effector cells. CAR-NK cells are a leading alternative (302, 303), offering an “off-the-shelf” allogeneic source with a potentially better safety profile. Other emerging platforms warrant investigation, such as gamma-delta (γδ) T cells and CAR-macrophages (CAR-M), which can phagocytose tumour cells and present antigens to initiate a broader adaptive immune response (304307).

CAR-NK cells offer MHC-unrestricted tumour recognition through innate activating receptors (NKG2D, NKp30, DNAM-1) and critically do not cause GvHD, enabling allogeneic “off-the-shelf” manufacturing from cord blood, peripheral blood, or iPSC-derived sources (308, 309). The first-in-human trial of cord blood-derived CAR-NK cells confirmed safety without CRS, neurotoxicity, or GvHD (308), and preclinical biliary tract models have demonstrated NK cell cytotoxicity against CCA cells when combined with IL-2 or IL-15 (16). However, shorter in vivo persistence relative to CAR-T cells and TGF-β-mediated suppression within the desmoplastic CCA stroma remain key limitations (308, 310). CAR-macrophages (CAR-M) exploit natural myeloid tropism for solid tumour infiltration, combining antigen-specific phagocytosis with TME remodelling through M1 polarisation and cross-presentation of tumour antigens to adaptive immunity (311, 312). The first-in-human phase I trial of anti-HER2 CAR-M (CT-0508) demonstrated feasibility and tolerability without lymphodepletion (313), though the risk of M2 re-polarisation by CCA-derived TGF-β and limited macrophage proliferative capacity necessitate further optimisation (304, 311).

γδ T cells are uniquely suited to hepatobiliary immunotherapy, bridging innate and adaptive immunity through dual recognition via TCR-mediated phosphoantigen sensing and NKG2D-dependent stress ligand detection (MICA/B, ULBPs), both independent of MHC restriction (314, 315). Liver-resident Vδ1 T cells exhibit tissue-residency markers (CD69+CD49a+), express hepatic homing receptors CXCR6/CXCR3, and persist for over 10 years in hepatic tissue (316). CCA-specific clinical evidence is encouraging, allogeneic Vγ9Vδ2 T cell infusion achieved lymph node regression in a stage IV CCA patient (317), and a randomised trial combining locoregional ablation with γδ T cell transfer in iCCA demonstrated significantly prolonged progression-free survival (8 vs 4 months, P = 0.021) (318). Ex vivo expanded Vγ9Vδ2 T cells also demonstrate direct cytotoxicity against CCA cell lines via perforin–granzyme degranulation (319). Limitations include low circulating frequency requiring ex vivo expansion and the existence of regulatory γδ subsets that may paradoxically promote tumour progression (314, 315).

8 Conclusion

Cellular immunotherapy will only succeed in CCA through integration, not isolated innovation. The formidable barriers of antigen heterogeneity and a deeply immunosuppressive TME demand a multi-pronged assault. By systematically advancing research across the pillars of advanced CAR engineering, multi-antigen targeting, synergistic adjuvants, and alternative effectors, the field can overcome current limitations. The central challenge-and the future research agenda-is to integrate these innovative strategies into cohesive, biomarker-driven clinical trials. Only then can we hope to unlock the full potential of cellular immunotherapy and transform outcomes for patients with this devastating disease.

Statements

Author contributions

SF: Software, Writing – review & editing, Methodology, Investigation, Conceptualization, Writing – original draft, Visualization, Resources, Data curation, Validation, Project administration, Formal analysis. AK: Formal analysis, Supervision, Conceptualization, Methodology, Writing – original draft, Writing – review & editing. BD: Project administration, Supervision, Writing – original draft, Writing – review & editing, Formal analysis.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Acknowledgments

Figures Created in BioRender. Froghi, S. (2025) https://BioRender.com/izms0um.

Conflict of interest

The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. The author(s) verify and take full responsibility for the use of generative AI in the preparation of this manuscript. Generative AI tools were used solely for grammar refinement and language editing. All scientific concepts, interpretations, analyses, and conclusions are entirely the authors’ own.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1

    QurashiMVithayathilMKhanSA. Epidemiology of cholangiocarcinoma. Eur J Surg Oncol. (2025) 51:107064. doi: 10.1016/j.ejso.2023.107064. PMID:

  • 2

    SuJLiangYHeX. Global, regional, and national burden and trends analysis of gallbladder and biliary tract cancer from 1990 to 2019 and predictions to 2030: a systematic analysis for the Global Burden of Disease Study 2019. Front Med. (2024) 11:1384314. doi: 10.3389/fmed.2024.1384314. PMID:

  • 3

    BanalesJMMarinJJGLamarcaA. Cholangiocarcinoma 2020: the next horizon in mechanisms and management. Nat Rev Gastroenterol Hepatol. (2020) 17:557–88. doi: 10.1038/s41575-020-0310-z. PMID:

  • 4

    MavrosMNEconomopoulosKPAlexiouVGPawlikTM. Treatment and prognosis for patients with intrahepatic cholangiocarcinoma: systematic review and meta-analysis. JAMA Surg. (2014) 149:565–74. doi: 10.1001/jamasurg.2013.5137. PMID:

  • 5

    Ramírez-MerinoNAixSPCortés-FunesH. Chemotherapy for cholangiocarcinoma: an update. World J Gastrointest Oncol. (2013) 5:171–6. doi: 10.4251/wjgo.v5.i7.171. PMID:

  • 6

    AdevaJSangroBSalatiMEdelineJLa CastaABittoniAet al. Medical treatment for cholangiocarcinoma. Liver Int. (2019) 39:123–42. doi: 10.1111/liv.14100. PMID:

  • 7

    GuoXShenW. Latest evidence on immunotherapy for cholangiocarcinoma. Oncol Lett. (2020) 20:381. doi: 10.3892/ol.2020.12244. PMID:

  • 8

    OhD-YLeeK-HLeeD-WKimTYBangJ-HNamA-Ret al. Phase II study assessing tolerability, efficacy, and biomarkers for durvalumab (D) ± tremelimumab (T) and gemcitabine/cisplatin (GemCis) in chemo-naïve advanced biliary tract cancer (aBTC). J Clin Oncol. (2020) 38:4520. doi: 10.1200/jco.2020.38.15_suppl.4520. PMID:

  • 9

    OhDHeARBouattourMOkusakaTQinSChenLet al. Durvalumab or placebo plus gemcitabine and cisplatin in participants with advanced biliary tract cancer (TOPAZ-1): updated overall survival from a randomised phase 3 study. Lancet Gastroenterol Hepatol. (2024) 9:694704. doi: 10.1016/s2468-1253(24)00095-5. PMID:

  • 10

    YuXZhuLWangTChenJ. Immune microenvironment of cholangiocarcinoma: biological concepts and treatment strategies. Front Immunol. (2023) 14:1037945. doi: 10.3389/fimmu.2023.1037945. PMID:

  • 11

    YangSZouRDaiYHuYLiFHuHet al. Tumour immune microenvironment and the current immunotherapy of cholangiocarcinoma (review). Int J Oncol. (2023) 63:137. doi: 10.3892/ijo.2023.5585. PMID:

  • 12

    WangJIlyasS. Targeting the tumour microenvironment in cholangiocarcinoma: implications for therapy. Expert Opin Invest Drugs. (2021) 30:429–38. doi: 10.1080/13543784.2021.1865308. PMID:

  • 13

    PengchengWZhaoL. Advancing immunotherapy for intrahepatic cholangiocarcinoma: exploring the tumour immune microenvironment and innovative treatments. Hepatoma Res. (2024) 10:39. doi: 10.20517/2394-5079.2024.72. PMID:

  • 14

    DadgarNArunachalamAKHongHPhoonYPArpi-PalaciosJEUysalMet al. Advancing cholangiocarcinoma care: insights and innovations in T cell therapy. Cancers. (2024) 16:3232. doi: 10.3390/cancers16183232. PMID:

  • 15

    ChiawpanitCWathikthinnakornMSawasdeeNPhanthapholNSujjitjoonJJunkingMet al. Precision immunotherapy for cholangiocarcinoma: pioneering the use of human-derived anti-cMET single chain variable fragment in anti-cMET chimeric antigen receptor (CAR) NK cells. Int Immunopharmacol. (2024) 136:112273. doi: 10.1016/j.intimp.2024.112273. PMID:

  • 16

    AoJHuMWangJJiangX. Advancing biliary tract Malignancy treatment: emerging frontiers in cell-based therapies. Front Immunol. (2025) 16:1559465. doi: 10.3389/fimmu.2025.1559465. PMID:

  • 17

    PorroNSpínola-LassoEMarraFGentiliniA. Immune landscape of intrahepatic cholangiocarcinoma: evasion and therapeutic insights. Immuno. (2025) 5:40. doi: 10.3390/immuno5030040. PMID:

  • 18

    WangWLiuYHeZLiLLiuSJiangMet al. Breakthrough of solid tumour treatment: CAR-NK immunotherapy. Cell Death Discov. (2024) 10:40. doi: 10.1038/s41420-024-01815-9. PMID:

  • 19

    ZhuXXueJJiangHXueD. CAR-NK cells for gastrointestinal cancer immunotherapy: from bench to bedside. Mol Cancer. (2024) 23:237. doi: 10.1186/s12943-024-02151-3. PMID:

  • 20

    NiLXuJLiQGeXWangFDengXet al. Focusing on the immune cells: recent advances in immunotherapy for biliary tract cancer. Cancer Manag Res. (2024) 16:941–63. doi: 10.2147/cmar.s474348. PMID:

  • 21

    LinXGuanTLiYLinYHuangGLinYet al. Efficacy of MUC1-targeted CAR-NK cells against human tongue squamous cell carcinoma. Front Immunol. (2024) 15:1337557. doi: 10.3389/fimmu.2024.1337557. PMID:

  • 22

    AmoozgarBBangoloAMansourCEliasDMohamedAThorDCet al. Engineering innate immunity: recent advances and future directions for CAR-NK and CAR–macrophage therapies in solid tumours. Cancers. (2025) 17:2397. doi: 10.3390/cancers17142397. PMID:

  • 23

    RenTHuangY. Recent advancements in improving the efficacy and safety of chimeric antigen receptor (CAR)-T cell therapy for hepatocellular carcinoma. Naunyn-Schmiedeberg's Arch Pharmacol. (2025) 398:1433–46. doi: 10.1007/s00210-024-03443-7. PMID:

  • 24

    LiXLiWXuLSongY. Chimeric antigen receptor-immune cells against solid tumours: structures, mechanisms, recent advances, and future developments. Chin Med J (Engl). (2024) 137:1285–302. doi: 10.1097/cm9.0000000000002818. PMID:

  • 25

    WangDRWuXLSunYL. Therapeutic targets and biomarkers of tumour immunotherapy: response versus non-response. Signal Transduct Target Ther. (2022) 7:331. doi: 10.1038/s41392-022-01136-2. PMID:

  • 26

    A phase 1 open-label, multi-centre first in human study of TnMUC1-targeted genetically-modified chimeric antigen receptor T cells in patients with advanced TnMUC1-positive solid tumours and multiple myeloma. USA: Kite, A Gilead Company. (2019).

  • 27

    A phase 1 dose escalation and expanded cohort study of P-MUC1C-ALLO1 in adult subjects with advanced or metastatic solid tumours. USA: Poseida Therapeutics, Inc (2022).

  • 28

    FengQSunBXueTLiRLinCGaoYet al. Advances in CAR T-cell therapy in bile duct, pancreatic, and gastric cancers. Front Immunol. (2022) 13:1025608. doi: 10.3389/fimmu.2022.1025608. PMID:

  • 29

    AggeletopoulouIKalafateliMTriantosC. Chimeric antigen receptor T cell therapy for hepatocellular carcinoma: where do we stand? Int J Mol Sci. (2024) 25:2631. doi: 10.3390/ijms25052631. PMID:

  • 30

    Tumour microenvironment and immunology of cholangiocarcinoma. USA: Hepatoma Res. (2022).

  • 31

    Clinical study of chimeric CD(cluster of differentiation)133 antigen receptor-modified T cells in relapsed and/or chemotherapy refractory Malignancies. China: Chinese PLA General Hospital (2015).

  • 32

    Clinical study of chimeric EGFR antigen receptor-modified T cells in chemotherapy refractory advanced solid tumours. China: Chinese PLA General Hospital (2013).

  • 33

    Carsgen Therapeutics CoL ed. Clinical study of redirected autologous T cells with a Claudin18.2-targeted chimeric antigen receptor in patients with advanced gastric adenocarcinoma and pancreatic adenocarcinoma. Shanghai: Carsgen Therapeutics (2017).

  • 34

    Carsgen Therapeutics CoL ed. An open label, single/multiple dose exploratory clinical study to evaluate the safety, efficacy, and cytokinetics of autologous humanized anti-claudin18.2 chimeric antigen receptor T cell in advanced solid tumour subjects. Shanghai: Carsgen Therapeutics (2019).

  • 35

    ParkSYRohSJKimYNKimSZParkHSJangKYet al. Expression of MUC1, MUC2, MUC5AC and MUC6 in cholangiocarcinoma: prognostic impact. Oncol Rep. (2009) 22:649–57. doi: 10.3892/or_00000485

  • 36

    SupimonKSangsuwannukulTSujjitjoonJPhanthapholNChieochansinTPoungvarinNet al. Anti-mucin 1 chimeric antigen receptor T cells for adoptive T cell therapy of cholangiocarcinoma. Sci Rep. (2021) 11:6276. doi: 10.22541/au.159863482.20648477. PMID:

  • 37

    MatsumuraNYamamotoMArugaATakasakiKNakanoM. Correlation between expression of MUC1 core protein and outcome after surgery in mass-forming intrahepatic cholangiocarcinoma. Cancer. (2002) 94:1770–6. doi: 10.1002/cncr.10398. PMID:

  • 38

    MaoLSuSLiJYuSGongYChenCet al. Development of engineered CAR T cells targeting tumour-associated glycoforms of MUC1 for the treatment of intrahepatic cholangiocarcinoma. J Immunother. (2023) 46:8995. doi: 10.1097/cji.0000000000000460. PMID:

  • 39

    The First People's Hospital ofHHefei BinhuH eds. Phase I/II study of anti-MUC1 CAR T cells for patients with MUC1+ advanced refractory solid tumourHefei: The First People's Hospital of Hefei (2015).

  • 40

    LeelawatKLeelawatSTepaksornPRattanasinganchanPLeungchawengATohtongRet al. Involvement of c-Met/hepatocyte growth factor pathway in cholangiocarcinoma cell invasion and its therapeutic inhibition with small interfering RNA specific for c-Met. J Surg Res. (2006) 136:7884. doi: 10.1016/j.jss.2006.05.031. PMID:

  • 41

    MiyamotoMOjimaHIwasakiMShimizuHKokubuAHiraokaNet al. Prognostic significance of overexpression of c-Met oncoprotein in cholangiocarcinoma. Br J Cancer. (2011) 105:131–8. doi: 10.1038/bjc.2011.199. PMID:

  • 42

    PuXYueSWuHYangJFanXFuYet al. C-MET in intrahepatic cholangiocarcinoma: high-frequency amplification predicts protein expression and a unique molecular subtype. Pathol Res Pract. (2020) 216:152857. doi: 10.1016/j.prp.2020.152857. PMID:

  • 43

    SocoteanuMPMottFAlpiniGFrankelAE. c-Met targeted therapy of cholangiocarcinoma. World J Gastroenterol. (2008) 14:2990–4. doi: 10.3748/wjg.14.2990. PMID:

  • 44

    LeelawatKThongtaweeTNarongSSubwongcharoenSTreepongkarunaSA. Strong expression of CD133 is associated with increased cholangiocarcinoma progression. World J Gastroenterol. (2011) 17:1192–8. doi: 10.3748/wjg.v17.i9.1192. PMID:

  • 45

    ShimadaMSugimotoKIwahashiSUtsunomiyaTMorineYImuraSet al. CD133 expression is a potential prognostic indicator in intrahepatic cholangiocarcinoma. J Gastroenterol. (2010) 45:896902. doi: 10.1007/s00535-010-0235-3. PMID:

  • 46

    FanLHeFLiuHZhuJLiuYYinZet al. CD133: a potential indicator for differentiation and prognosis of human cholangiocarcinoma. BMC Cancer. (2011) 11:320. doi: 10.1186/1471-2407-11-320. PMID:

  • 47

    FengKGuoYLiuYDaiHWangYLvHet al. Cocktail treatment with EGFR-specific and CD133-specific chimeric antigen receptor-modified T cells in a patient with advanced cholangiocarcinoma. J Haematol Oncol. (2017) 10:4. doi: 10.1186/s13045-016-0378-7. PMID:

  • 48

    WangYChenMWuZTongCHuangJLvHet al. CD133-redirected chimeric antigen receptor engineered autologous T-cell treatment in patients with advanced and metastatic Malignancies. J Clin Oncol. (2017) 35:3042. doi: 10.1200/jco.2017.35.15_suppl.3042

  • 49

    YoshikawaDOjimaHIwasakiMHiraokaNKosugeTKasaiSet al. Clinicopathological and prognostic significance of EGFR, VEGF, and HER2 expression in cholangiocarcinoma. Br J Cancer. (2008) 98:418–25. doi: 10.1038/sj.bjc.6604129. PMID:

  • 50

    YangXWangWWangCWangLYangMQiMet al. Characterization of EGFR family gene aberrations in cholangiocarcinoma. Oncol Rep. (2014) 32:700–8. doi: 10.3892/or.2014.3261. PMID:

  • 51

    GomesRVRodriguesMRodriguesJVidigalPTDamascenoKALimaHAet al. Expression of epidermal growth factor receptor (EGFR) in cholangiocarcinomas: predictive factors and survival. Rev Col Bras Cir. (2018) 45:e1826. doi: 10.1590/0100-6991e-20181826. PMID:

  • 52

    ClapéronAMergeyMNguyen Ho-BouldoiresTHVignjevicDWendumDChrétienYet al. EGF/EGFR axis contributes to the progression of cholangiocarcinoma through the induction of an epithelial-mesenchymal transition. J Hepatol. (2014) 61:325–32. doi: 10.1016/j.jhep.2014.03.033

  • 53

    ChenCNelsonLJÁvilaMACuberoFJ. Mitogen-Activated Protein Kinases (MAPKs) and cholangiocarcinoma: The missing link. Cells. (2019) 8 (10). doi: 10.3390/cells8101172. PMID:

  • 54

    HoffmannACGoekkurtEDanenbergPVLehmannSEhningerGAustDEet al. EGFR, FLT1 and heparanase as markers identifying patients at risk of short survival in cholangiocarcinoma. PLoS One. (2013) 8:e64186. doi: 10.1371/journal.pone.0064186. PMID:

  • 55

    HarderJWaizOOttoFGeisslerMOlschewskiMWeinholdBet al. EGFR and HER2 expression in advanced biliary tract cancer. World J Gastroenterol. (2009) 15:4511–7. doi: 10.1055/s-0028-1089488. PMID:

  • 56

    GuoYFengKLiuYWuZDaiHYangQet al. Phase I study of chimeric antigen receptor-modified T cells in patients with EGFR-positive advanced biliary tract cancers. Clin Cancer Res. (2018) 24:1277–86. doi: 10.1158/1078-0432.ccr-17-0432. PMID:

  • 57

    GuoYFengKLiuYWuZDaiHYangQet al. Phase I study of chimeric antigen receptor–modified T cells in patients with EGFR-positive advanced biliary tract cancers. Clin Cancer Res. (2018) 24:1277–86. doi: 10.1158/1078-0432.ccr-17-0432. PMID:

  • 58

    FengKCet al. Cocktail treatment with EGFR-specific and CD133-specific chimeric antigen receptor-modified T cells in a patient with advanced cholangiocarcinoma. J Hematol Oncol. (2017) 10(1):4.

  • 59

    GaldySLamarcaAMcNamaraMGHubnerRACellaCAFazioNet al. HER2/HER3 pathway in biliary tract Malignancies; systematic review and meta-analysis: A potential therapeutic target? Cancer Metastasis Rev. (2017) 36:141–57. doi: 10.1007/s10555-016-9645-x. PMID:

  • 60

    LeeCSeoDHFoxDAHaro-SilerioJChungTKimCGet al. Impact of HER2-positivity on prognosis and targeted therapeutic outcomes in advanced biliary tract cancer. J Clin Oncol. (2025) 43:629. doi: 10.1200/jco.2025.43.4_suppl.629

  • 61

    LeeHJChungJYHewittSMYuEHongSM. HER3 overexpression is a prognostic indicator of extrahepatic cholangiocarcinoma. Virchows Arch. (2012) 461:521–30. doi: 10.1007/s00428-012-1321-0. PMID:

  • 62

    FernandesVTOSilvaMJDBEBegnamiMDSaitoA. Prognosis of HER2 expression in cholangiocarcinoma when evaluated using gastric cancer methodology of immunohistochemistry. J Clin Oncol. (2015) 33:e15203–3. doi: 10.1200/jco.2015.33.15_suppl.e15203. PMID:

  • 63

    FengKLiuYGuoYQiuJWuZDaiHet al. Phase I study of chimeric antigen receptor modified T cells in treating HER2-positive advanced biliary tract cancers and pancreatic cancers. Protein Cell. (2018) 9:838–47. doi: 10.1007/s13238-017-0440-4. PMID:

  • 64

    OhbaAMorizaneCKawamotoYKomatsuYUenoMKobayashiSet al. Trastuzumab deruxtecan in human epidermal growth factor receptor 2–expressing biliary tract cancer (HERB; NCCH1805): A multicentre, single-arm, phase II trial. J Clin Oncol. (2024) 42:3207–17. doi: 10.1200/jco.23.02010. PMID:

  • 65

    ShinYShinJJeongHRyooBYKimKPParkIet al. Claudin-18.2 and Trop-2 as emerging biomarkers in biliary tract cancers: Expression analysis and therapeutic potential. Target Oncol. (2025). doi: 10.1007/s11523-025-01193-x. PMID:

  • 66

    DesaiNKoHMLeeMFazlollahiLMoyRHYoonSSet al. Claudin 18 immunohistochemistry in cholangiocarcinoma. J Gastrointest Oncol. (2025) 16:671–8. doi: 10.21037/jgo-2024-925. PMID:

  • 67

    ShinozakiAShibaharaJNodaNTanakaMAokiTKokudoNet al. Claudin-18 in biliary neoplasms. Its significance in the classification of intrahepatic cholangiocarcinoma. Virchows Arch. (2011) 459:7380. doi: 10.1007/s00428-011-1092-z. PMID:

  • 68

    AngerilliVSacchiDRizzatoMGasparelloJCecconCSabbadinMet al. Claudin 18.2: A promising actionable target in biliary tract cancers. ESMO Open. (2025) 10:105049. doi: 10.1016/j.esmoop.2025.105049. PMID:

  • 69

    KinzlerMNGretserSSchulzeFBankovKAbedinNBechsteinWOet al. Expression of claudin-18.2 in cholangiocarcinoma: A comprehensive immunohistochemical analysis from a German tertiary centre. Histopathology. (2025) 86:640–6. doi: 10.1111/his.15407. PMID:

  • 70

    ShitaraKLordickFBangYJEnzingerPIlsonDShahMAet al. Zolbetuximab plus mFOLFOX6 in patients with CLDN18.2-positive, HER2-negative, untreated, locally advanced unresectable or metastatic gastric or gastro-oesophageal junction adenocarcinoma (SPOTLIGHT): A multicentre, randomised, double-blind, phase 3 trial. Lancet. (2023) 401:1655–68. doi: 10.1016/s0140-6736(23)00620-7. PMID:

  • 71

    QiCGongJLiJLiuDQinYGeSet al. Claudin18.2-specific CAR T cells in gastrointestinal cancers: Phase 1 trial interim results. Nat Med. (2022) 28:1189–98. doi: 10.1038/s41591-022-01800-8. PMID:

  • 72

    Open-label, multicenter, phase 1b/2 clinical trial to evaluate the safety and efficacy of autologous anti-claudin 18.2 chimeric antigen receptor T-cell therapy in subjects with advanced gastric, pancreatic, or other specified digestive system cancers. (2020) 15. doi: 10.1056/nejmp2400209

  • 73

    YuCPanYLiFGuoZXuDZhuYet al. Claudin18.2 defines a prognostically distinct subgroup of intrahepatic cholangiocarcinoma via CD8+ T-cell exclusion. Front Oncol. (2025) 15:1636367. doi: 10.3389/fonc.2025.1636367. PMID:

  • 74

    Morcillo-Martín-RomoPValverde-PozoJOrtiz-BuenoMArnoneMEspinar-BarrancoLEspinar-BarrancoCet al. The role of NK cells in cancer immunotherapy: Mechanisms, evasion strategies, and therapeutic advances. Biomedicines. (2025) 13:857. doi: 10.3390/biomedicines13040857. PMID:

  • 75

    ZhangAMiaoKSunHDengCX. Tumour heterogeneity reshapes the tumour microenvironment to influence drug resistance. Int J Biol Sci. (2022) 18:3019–33. doi: 10.7150/ijbs.72534. PMID:

  • 76

    LiuDHeijLRCziganyZDahlELangSAUlmerTFet al. The role of tumour-infiltrating lymphocytes in cholangiocarcinoma. J Exp Clin Cancer Res. (2022) 41:127. doi: 10.1186/s13046-022-02340-2. PMID:

  • 77

    WalshZRossSFryTJ. Multi-specific CAR targeting to prevent antigen escape. Curr Hematol Malig Rep. (2019) 14:451–9. doi: 10.1007/s11899-019-00537-5. PMID:

  • 78

    QiaoYChenJWangXYanSTanJXiaBet al. Enhancement of CAR-T cell activity against cholangiocarcinoma by simultaneous knockdown of six inhibitory membrane proteins. Cancer Commun (Lond). (2023) 43:788807. doi: 10.1002/cac2.12452. PMID:

  • 79

    MajznerRGMackallCL. Tumour antigen escape from CAR T-cell therapy. Cancer Discov. (2018) 8:1219–26. doi: 10.1158/2159-8290.cd-18-0442. PMID:

  • 80

    LinHYangXYeSHuangLMuW. Antigen escape in CAR-T cell therapy: Mechanisms and overcoming strategies. BioMed Pharmacother. (2024) 178:117252. doi: 10.1016/j.biopha.2024.117252. PMID:

  • 81

    HøgdallDLewinskaMAndersenJB. Desmoplastic tumour microenvironment and immunotherapy in cholangiocarcinoma. Trends Cancer. (2018) 4:239–55. doi: 10.1016/j.trecan.2018.01.007

  • 82

    SiricaAEGoresGJ. Desmoplastic stroma and cholangiocarcinoma: Clinical implications and therapeutic targeting. Hepatology. (2014) 59:2397–402. doi: 10.1002/hep.26762. PMID:

  • 83

    MininiMFouassierL. Cancer-associated fibroblasts and extracellular matrix: Therapeutical strategies for modulating the cholangiocarcinoma microenvironment. Curr Oncol. (2023) 30:4185–96. doi: 10.3390/curroncol30040319. PMID:

  • 84

    WangJLoeuillardEGoresGJIlyasSI. Cholangiocarcinoma: What are the most valuable therapeutic targets - cancer-associated fibroblasts, immune cells, or beyond T cells? Expert Opin Ther Targets. (2021) 25:835–45. doi: 10.1080/14728222.2021.2010046. PMID:

  • 85

    AffoSYuLXSchwabeRF. The role of cancer-associated fibroblasts and fibrosis in liver cancer. Annu Rev Pathol. (2017) 12:153–86. doi: 10.1146/annurev-pathol-052016-100322. PMID:

  • 86

    DesboisMWangY. Cancer-associated fibroblasts: Key players in shaping the tumour immune microenvironment. Immunol Rev. (2021) 302(1):241–58. doi: 10.1111/imr.12982. PMID:

  • 87

    GentiliniAPastoreMMarraFRaggiC. The role of stroma in cholangiocarcinoma: The intriguing interplay between fibroblastic component, immune cell subsets and tumour epithelium. Int J Mol Sci. (2018) 19. doi: 10.3390/ijms19102885. PMID:

  • 88

    KayEJPatersonKRiera-DomingoCSumptonDDäbritzJHMTarditoSet al. Cancer-associated fibroblasts require proline synthesis by PYCR1 for the deposition of pro-tumorigenic extracellular matrix. Nat Metab. (2022) 4:693710. doi: 10.1038/s42255-022-00582-0. PMID:

  • 89

    ChakravarthyAKhanLBenslerNPBosePDe CarvalhoDD. TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure. Nat Commun. (2018) 9:4692. doi: 10.1038/s41467-018-06654-8. PMID:

  • 90

    TangTWangWGanLBaiJTanDJiangYet al. TIGIT expression in extrahepatic cholangiocarcinoma and its impact on CD8 + T cell exhaustion: Implications for immunotherapy. Cell Death Dis. (2025) 16:90. doi: 10.1038/s41419-025-07388-4. PMID:

  • 91

    DaiYDongCWangZZhouYWangYHaoYet al. Infiltrating T lymphocytes and tumour microenvironment within cholangiocarcinoma: Immune heterogeneity, intercellular communication, immune checkpoints. Front Immunol. (2025) 15:1482291. doi: 10.3389/fimmu.2024.1482291. PMID:

  • 92

    Maria EvaAMicheleMChiaraSAntonioBMarcoMLucaM. The role of tumour microenvironment in cholangiocarcinoma. Hepatoma Res. (2023) 9:9. doi: 10.20517/2394-5079.2022.98. PMID:

  • 93

    ZhangYYanHJWuJ. The tumour immune microenvironment plays a key role in driving the progression of cholangiocarcinoma. Curr Cancer Drug Targets. (2024) 24:681700. doi: 10.2174/0115680096267791231115101107. PMID:

  • 94

    FabrisLSatoKAlpiniGStrazzaboscoM. The tumour microenvironment in cholangiocarcinoma progression. Hepatology. (2021) 73 Suppl 1:7585. doi: 10.1007/978-3-030-65908-0_14. PMID:

  • 95

    CaligiuriAParolaMMarraFCannitoSGentiliniA. Cholangiocarcinoma tumour microenvironment highlighting fibrosis and matrix components. Hepatoma Res. (2023). doi: 10.20517/2394-5079.2023.23. PMID:

  • 96

    YamazakiMIshimotoT. Targeting cancer-associated fibroblasts: Eliminate or reprogram? Cancer Sci. (2025) 116:613–21. doi: 10.1111/cas.16443. PMID:

  • 97

    MelchionnaRTronoPDi CarloADi ModugnoFNisticòP. Transcription factors in fibroblast plasticity and CAF heterogeneity. J Exp Clin Cancer Res. (2023) 42:347. doi: 10.1186/s13046-023-02934-4. PMID:

  • 98

    ZhangYFuQSunWYueQHePNiuDet al. Mechanical forces in the tumour microenvironment: Roles, pathways, and therapeutic approaches. J Transl Med. (2025) 23:313. doi: 10.1186/s12967-025-06306-8. PMID:

  • 99

    FabrisLPerugorriaMJMertensJBjörkströmNKCramerTLleoAet al. The tumour microenvironment and immune milieu of cholangiocarcinoma. Liver Int. (2019) 39(Suppl 1):6378. doi: 10.1111/liv.14098. PMID:

  • 100

    PapoutsoglouPLouisCCoulouarnC. Transforming growth factor-beta (TGFβ) signalling pathway in cholangiocarcinoma. Cells. (2019) 8(9). doi: 10.3390/cells8090960. PMID:

  • 101

    PizzutoEMancarellaSGiganteISerinoGDituriFPiccinnoEet al. Inhibiting the TGF-β1 pathway reduces the aggressiveness of intrahepatic CCA HuCCT1 CD90-positive cells. Int J Mol Sci. (2025) 26(11). doi: 10.3390/ijms26114973. PMID:

  • 102

    LiuFWangQWangZZhangSNiQChangH. ETV4 promotes the progression of cholangiocarcinoma by regulating glycolysis via the TGF-β signalling. Transl Oncol. (2024) 47:102035. doi: 10.1016/j.tranon.2024.102035. PMID:

  • 103

    LuoZZhouFTanCYinLBaoMHeXet al. Targeting PDGF-CC as a promising therapeutic strategy to inhibit cholangiocarcinoma progression. J Transl Med. (2024) 22:1023. doi: 10.1186/s12967-024-05857-6. PMID:

  • 104

    CadamuroMNardoGIndraccoloSDall'olmoLSambadoLMoserleLet al. Platelet-derived growth factor-D and Rho GTPases regulate recruitment of cancer-associated fibroblasts in cholangiocarcinoma. Hepatology. (2013) 58:1042–53. doi: 10.1002/hep.26384. PMID:

  • 105

    FingasCDMertensJCRazumilavaNBronkSFSiricaAEGoresGJ. Targeting PDGFR-β in cholangiocarcinoma. Liver Int. (2012) 32:400–9. doi: 10.1111/j.1478-3231.2011.02687.x

  • 106

    DuangdaraJBoonsriBSayintaASupraditKThintharuaPKumkateSet al. CP-673451, a selective platelet-derived growth factor receptor tyrosine kinase inhibitor, induces apoptosis in Opisthorchis viverrini-associated cholangiocarcinoma via Nrf2 suppression and enhanced ROS. Pharmaceuticals. (2024) 17:9. doi: 10.3390/ph17010009. PMID:

  • 107

    LewinskaMZhuravlevaESatrianoLMartinezMBBhattDKOliveiraDVNPet al. Fibroblast-derived lysyl oxidase increases oxidative phosphorylation and stemness in cholangiocarcinoma. Gastroenterology. (2024) 166:886901.e7. doi: 10.1053/j.gastro.2023.11.302. PMID:

  • 108

    BergeatDFautrelATurlinBMerdrignacARayarMBoudjemaKet al. Impact of stroma LOXL2 overexpression on the prognosis of intrahepatic cholangiocarcinoma. J Surg Res. (2016) 203:441–50. doi: 10.1016/j.jss.2016.03.044. PMID:

  • 109

    AmendolaPGReutenRErlerJT. Interplay between LOX enzymes and integrins in the tumour microenvironment. Cancers (Basel). (2019) 11(5). doi: 10.3390/cancers11050729. PMID:

  • 110

    XuJLiDLiXLiuZLiTJiangPet al. 67 laminin receptor promotes the Malignant potential of tumour cells up-regulating lysyl oxidase-like 2 expression in cholangiocarcinoma. Dig Liver Dis. (2014) 46:750–7. doi: 10.1016/j.dld.2014.03.017. PMID:

  • 111

    PengTDengXTianFLiZJiangPZhaoXet al. The interaction of LOXL2 with GATA6 induces VEGFA expression and angiogenesis in cholangiocarcinoma. Int J Oncol. (2019) 55:657–70. doi: 10.3892/ijo.2019.4837. PMID:

  • 112

    MiyataTYamashitaYIYoshizumiTShiraishiMOhtaMEguchiSet al. CXCL12 expression in intrahepatic cholangiocarcinoma is associated with metastasis and poor prognosis. Cancer Sci. (2019) 110:3197–203. doi: 10.1111/cas.14151. PMID:

  • 113

    GunaydinG. CAFs interacting with TAMs in tumour microenvironment to enhance tumorigenesis and immune evasion. Front Oncol. (2021) 11:668349. doi: 10.3389/fonc.2021.668349. PMID:

  • 114

    ZhaoSWangJQinC. Blockade of CXCL12/CXCR4 signalling inhibits intrahepatic cholangiocarcinoma progression and metastasis via inactivation of canonical Wnt pathway. J Exp Clin Cancer Res. (2014) 33:103. doi: 10.1186/s13046-014-0103-8. PMID:

  • 115

    CaligiuriAPastoreMLoriGRaggiCDi MairaGMarraFet al. Role of chemokines in the biology of cholangiocarcinoma. Cancers. (2020) 12:2215. doi: 10.3390/cancers12082215. PMID:

  • 116

    Cherry-BohannanJBakerKFrancisH. VEGF and cholangiocarcinoma: Feeding the tumour. Trans Gastrointestinal Cancer. (2011) 1:95102.

  • 117

    MariottiVFiorottoRCadamuroMFabrisLStrazzaboscoM. New insights on the role of vascular endothelial growth factor in biliary pathophysiology. JHEP Rep. (2021) 3:100251. doi: 10.1016/j.jhepr.2021.100251. PMID:

  • 118

    YangXLinYShiYLiBLiuWYinWet al. FAP promotes immunosuppression by cancer-associated fibroblasts in the tumour microenvironment via STAT3-CCL2 signalling. Cancer Res. (2016) 76:4124–35. doi: 10.1158/0008-5472.can-15-2973. PMID:

  • 119

    LinYLiBYangXCaiQLiuWTianMet al. Fibroblastic FAP promotes intrahepatic cholangiocarcinoma growth via MDSCs recruitment. Neoplasia. (2019) 21:1133–42. doi: 10.1016/j.neo.2019.10.005. PMID:

  • 120

    LinYCaiQChenYShiTLiuWMaoLet al. CAFs shape myeloid-derived suppressor cells to promote stemness of intrahepatic cholangiocarcinoma through 5-lipoxygenase. Hepatology. (2022) 75:2842. doi: 10.1002/hep.32099. PMID:

  • 121

    MontoriMScorzoniCArgenzianoMEBalducciDDe BlasioFMartiniFet al. Cancer-associated fibroblasts in cholangiocarcinoma: Current knowledge and possible implications for therapy. J Clin Med. (2022) 11(21). doi: 10.3390/jcm11216498. PMID:

  • 122

    HuangFLiuZSongYWangGShiAChenTet al. Bile acids activate cancer-associated fibroblasts and induce an immunosuppressive microenvironment in cholangiocarcinoma. Cancer Cell. (2025) 43:14601475.e10. doi: 10.1016/j.ccell.2025.05.017. PMID:

  • 123

    ZhangGLiJLiGZhangJYangZYangLet al. Strategies for treating the cold tumours of cholangiocarcinoma: Core concepts and future directions. Clin Exp Med. (2024) 24:193. doi: 10.1007/s10238-024-01460-7. PMID:

  • 124

    ChenZHanFDuYShiHZhouW. Hypoxic microenvironment in cancer: Molecular mechanisms and therapeutic interventions. Signal Transduction Targeted Ther. (2023) 8:70. doi: 10.1038/s41392-023-01332-8. PMID:

  • 125

    BasheeruddinMQausainS. Hypoxia-inducible factor 1-alpha (HIF-1alpha) and cancer: Mechanisms of tumour hypoxia and therapeutic targeting. Cureus. (2024) 16:e70700. doi: 10.7759/cureus.70700. PMID:

  • 126

    VanichapolTLeelawatKHongengS. Hypoxia enhances cholangiocarcinoma invasion through activation of hepatocyte growth factor receptor and the extracellular signal-regulated kinase signalling pathway. Mol Med Rep. (2015) 12:3265–72. doi: 10.3892/mmr.2015.3865. PMID:

  • 127

    XiaoZToddLHuangLNoguera-OrtegaELuZHuangLet al. Desmoplastic stroma restricts T cell extravasation and mediates immune exclusion and immunosuppression in solid tumours. Nat Commun. (2023) 14:5110. doi: 10.1038/s41467-023-40850-5. PMID:

  • 128

    DrougkasKKarampinosKKaravoliasIGomatouGKoumprentziotisIPloumakiIet al. CAR-T cell therapy in pancreatic and biliary tract cancers: An updated review of clinical trials. J Gastrointestinal Cancer. (2024) 55:9901003. doi: 10.1007/s12029-024-01054-2. PMID:

  • 129

    WinerAAdamsSMignattiP. Matrix metalloproteinase inhibitors in cancer therapy: Turning past failures into future successes. Mol Cancer Ther. (2018) 17:1147–55. doi: 10.1158/1535-7163.mct-17-0646. PMID:

  • 130

    Gutiérrez-FernándezAFueyoAFolguerasARGarabayaCPenningtonCJPilgrimSet al. Matrix metalloproteinase-8 functions as a metastasis suppressor through modulation of tumour cell adhesion and invasion. Cancer Res. (2008) 68:2755–63. doi: 10.1158/0008-5472.Can-07-5154

  • 131

    DecockJThirkettleSWagstaffLEdwardsDR. Matrix metalloproteinases: Protective roles in cancer. J Cell Mol Med. (2011) 15:1254–65. doi: 10.1111/j.1582-4934.2011.01302.x. PMID:

  • 132

    JuricVO'SullivanCStefanuttiEKovalenkoMGreensteinABarry-HamiltonVet al. MMP-9 inhibition promotes anti-tumour immunity through disruption of biochemical and physical barriers to T-cell trafficking to tumours. PLoS One. (2018) 13:e0207255. doi: 10.1371/journal.pone.0207255. PMID:

  • 133

    OverallCMKleifeldO. Towards third generation matrix metalloproteinase inhibitors for cancer therapy. Br J Cancer. (2006) 94:941–6. doi: 10.1038/sj.bjc.6603043. PMID:

  • 134

    ParkKVeenaMSShinDS. Key players of the immunosuppressive tumour microenvironment and emerging therapeutic strategies. Front Cell Dev Biol. (2022) 10:830208. doi: 10.3389/fcell.2022.830208. PMID:

  • 135

    MaoXXuJWangWLiangCHuaJLiuJet al. Crosstalk between cancer-associated fibroblasts and immune cells in the tumour microenvironment: New findings and future perspectives. Mol Cancer. (2021) 20:131. doi: 10.1186/s12943-021-01428-1. PMID:

  • 136

    HeijLHayatSReichelKMaryamSO’RourkeCJTanXet al. Shift in cellular crosstalk reveals the immunosuppressive environment in cholangiocarcinoma patients. bioRxiv. (2024), 2024.02.03.578669. doi: 10.1055/s-0043-1777599. PMID:

  • 137

    TieYTangFWeiYWeiX. Immunosuppressive cells in cancer: Mechanisms and potential therapeutic targets. J Haematol Oncol. (2022) 15:61. doi: 10.1186/s13045-022-01282-8. PMID:

  • 138

    Gutiérrez-LarrañagaMGonzález-LópezERoa-BautistaARodriguesPMDíaz-GonzálezÁBanalesJMet al. Immune checkpoint inhibitors: The emerging cornerstone in cholangiocarcinoma therapy? Liver Cancer. (2021) 10:545–60. doi: 10.1159/000518104

  • 139

    CaoLPrithvirajPShresthaRSharmaRAnakaMBridleKRet al. Prognostic role of immune checkpoint regulators in cholangiocarcinoma: A pilot study. J Clin Med. (2021) 10(10). doi: 10.3390/jcm10102191. PMID:

  • 140

    VatankhahFSalimiNKhalajiABaradaranB. Immune checkpoints and their promising prospect in cholangiocarcinoma treatment in combination with other therapeutic approaches. Int Immunopharmacol. (2023) 114:109526. doi: 10.1016/j.intimp.2022.109526. PMID:

  • 141

    LinLLinYChenWYangXGuoXWuYet al. Efficacy and safety outcomes of PD-1/PD-L1 inhibitors in recurrent cholangiocarcinoma: A real-world, multicentre and retrospective study. BMC Cancer. (2025) 25:1087. doi: 10.1186/s12885-025-14459-4. PMID:

  • 142

    WalterDHerrmannESchnitzbauerAAZeuzemSHansmannMLPeveling-OberhagJet al. PD-L1 expression in extrahepatic cholangiocarcinoma. Histopathology. (2017) 71:383–92. doi: 10.1111/his.13238. PMID:

  • 143

    DengMLiSHFuXYanXPChenJQiuYDet al. Relationship between PD-L1 expression, CD8+ T-cell infiltration and prognosis in intrahepatic cholangiocarcinoma patients. Cancer Cell Int. (2021) 21:371. doi: 10.1186/s12935-021-02081-w. PMID:

  • 144

    KitanoYYamashitaYINakaoYItoyamaRYusaTUmezakiNet al. Clinical significance of PD-L1 expression in both cancer and stroma cells of cholangiocarcinoma patients. Ann Surg Oncol. (2020) 27:599607. doi: 10.1245/s10434-019-08033-z. PMID:

  • 145

    GondaliyaPSayyedAAYanIKDriscollJZiemerAPatelT. Targeting PD-L1 in cholangiocarcinoma using nanovesicle-based immunotherapy. Mol Ther. (2024) 32:2762–77. doi: 10.1016/j.ymthe.2024.06.006. PMID:

  • 146

    YeYZhouLXieXJiangGXieHZhengS. Interaction of B7-H1 on intrahepatic cholangiocarcinoma cells with PD-1 on tumour-infiltrating T cells as a mechanism of immune evasion. J Surg Oncol. (2009) 100:500–4. doi: 10.1002/jso.21376. PMID:

  • 147

    EscorsDGato-CañasMZuazoMArasanzHGarcía-GrandaMJVeraRet al. The intracellular signalosome of PD-L1 in cancer cells. Signal Transduction Targeted Ther. (2018) 3:26. doi: 10.1038/s41392-018-0022-9. PMID:

  • 148

    WojtukiewiczMZRekMMKarpowiczKGórskaMPolityńskaBWojtukiewiczAMet al. Inhibitors of immune checkpoints-PD-1, PD-L1, CTLA-4-new opportunities for cancer patients and a new challenge for internists and general practitioners. Cancer Metastasis Rev. (2021) 40:949–82. doi: 10.1007/s10555-021-09976-0. PMID:

  • 149

    GuoXLuJZengHZhouRSunQYangGet al. CTLA-4 synergizes with PD1/PD-L1 in the inhibitory tumour microenvironment of intrahepatic cholangiocarcinoma. Front Immunol. (2021) 12:705378. doi: 10.3389/fimmu.2021.705378. PMID:

  • 150

    YanZWangCWuJWangJMaT. TIM-3 teams up with PD-1 in cancer immunotherapy: Mechanisms and perspectives. Mol BioMed. (2025) 6:27. doi: 10.1186/s43556-025-00267-6. PMID:

  • 151

    ChenCZhaoFPengJZhaoDXuLLiHet al. Soluble Tim-3 serves as a tumour prognostic marker and therapeutic target for CD8(+) T cell exhaustion and anti-PD-1 resistance. Cell Rep Med. (2024) 5:101686. doi: 10.1016/j.xcrm.2024.101686. PMID:

  • 152

    SakuishiKApetohLSullivanJMBlazarBRKuchrooVKAndersonAC. Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumour immunity. J Exp Med. (2010) 207:2187–94. doi: 10.1084/jem.201006432011512c. PMID:

  • 153

    MaSTianYPengJChenCPengXZhaoFet al. Identification of a small-molecule Tim-3 inhibitor to potentiate T cell-mediated antitumor immunotherapy in preclinical mouse models. Sci Transl Med. (2023) 15:eadg6752. doi: 10.1126/scitranslmed.adg6752. PMID:

  • 154

    TangCYLinYTYehYCChungSYChangYCHungYPet al. The correlation between LAG-3 expression and the efficacy of chemoimmunotherapy in advanced biliary tract cancer. Cancer Immunol Immunother. (2025) 74:41. doi: 10.1007/s00262-024-03878-0. PMID:

  • 155

    SungEKoMWonJYJoYParkEKimHet al. LAG-3xPD-L1 bispecific antibody potentiates antitumor responses of T cells through dendritic cell activation. Mol Ther. (2022) 30:2800–16. doi: 10.1016/j.ymthe.2022.05.003. PMID:

  • 156

    HeijLReichelKde KoningWBednarschJTanXDeierlJCet al. bioRxiv. NY: Cold Spring Harbor Laboratory (2023). p. 2023.08.14.553195.

  • 157

    OstroumovDDuongSWingerathJWollerNMannsMPTimrottKet al. Transcriptome profiling identifies TIGIT as a marker of T-cell exhaustion in liver cancer. Hepatology. (2021) 73:1399–418. doi: 10.1002/hep.31466. PMID:

  • 158

    CuiHHamadMElkordE. TIGIT in cancer: from mechanism of action to promising immunotherapeutic strategies. Cell Death Dis. (2025) 16:664. doi: 10.1038/s41419-025-07984-4. PMID:

  • 159

    ShiXYangJDengSXuHWuDZengQet al. TGF-β signalling in the tumour metabolic microenvironment and targeted therapies. J Hematol Oncol. (2022) 15:135. doi: 10.1186/s13045-022-01349-6. PMID:

  • 160

    SanjabiSOhSALiMO. Regulation of the immune response by TGF-β: from conception to autoimmunity and infection. Cold Spring Harb Perspect Biol. (2017) 9(6). doi: 10.1101/cshperspect.a022236. PMID:

  • 161

    de FolmontABourhisJChouaibSTerryS. Multifaceted role of the transforming growth factor β on effector T cells and the implication for CAR-T cell therapy. Immuno. (2021) 1:160–73. doi: 10.3390/immuno1030010. PMID:

  • 162

    WangJZhaoXWanYY. Intricacies of TGF-β signalling in Treg and Th17 cell biology. Cell Mol Immunol. (2023) 20:1002–22. doi: 10.1038/s41423-023-01036-7. PMID:

  • 163

    PietrobonVToddLAGoswamiAStefansonOYangZMarincolaF. Improving CAR T-cell persistence. Int J Mol Sci. (2021) 22:10828. doi: 10.3390/ijms221910828. PMID:

  • 164

    StüberTMonjeziRWallstabeLKühnemundtJNietzerSLDandekarGet al. Inhibition of TGF-β-receptor signalling augments the antitumor function of ROR1-specific CAR T-cells against triple-negative breast cancer. J Immunother Cancer. (2020) 8:e000676. doi: 10.1136/jitc-2020-000676

  • 165

    LiNRodriguezJLYinYLogunMTZhangLYuSet al. Armored bicistronic CAR T cells with dominant-negative TGF-β receptor II to overcome resistance in glioblastoma. Mol Ther. (2024) 32:3522–38. doi: 10.1016/j.ymthe.2024.07.020. PMID:

  • 166

    WangYZhaoGWangSLiN. DNTGF-βR armored CAR-T cell therapy against tumours from bench to bedside. J Transl Med. (2024) 22:45. doi: 10.1186/s12967-023-04829-6. PMID:

  • 167

    MittalSKChoKJIshidoSRochePA. Interleukin 10 (IL-10)-mediated immunosuppression: MARCH-I induction regulates antigen presentation by macrophages but not dendritic cells. J Biol Chem. (2015) 290:27158–67. doi: 10.1074/jbc.M115.682708

  • 168

    ThepmaleeCPanyaASujjitjoonJSawasdeeNPoungvarinNJunkingMet al. Suppression of TGF-β and IL-10 receptors on self-differentiated dendritic cells by short-hairpin RNAs enhanced activation of effector T-cells against cholangiocarcinoma cells. Hum Vaccin Immunother. (2020) 16:2318–27. doi: 10.1080/21645515.2019.1701913. PMID:

  • 169

    RafaqatSHamidHAsifRAsifMTariqMSaleemMet al. Role of interleukins in the pathogenesis of cholangiocarcinoma: a literature review. World J Gastrointest Oncol. (2025) 17:107341. doi: 10.4251/wjgo.v17.i7.107341. PMID:

  • 170

    YuanHLinZLiuYJiangYLiuKTuMet al. Intrahepatic cholangiocarcinoma induced M2-polarized tumour-associated macrophages facilitate tumour growth and invasiveness. Cancer Cell Int. (2020) 20:586. doi: 10.1186/s12935-020-01687-w. PMID:

  • 171

    IsomotoHMottJLKobayashiSWerneburgNWBronkSFHaanSet al. Sustained IL-6/STAT-3 signalling in cholangiocarcinoma cells due to SOCS-3 epigenetic silencing. Gastroenterology. (2007) 132:384–96. doi: 10.1053/j.gastro.2006.10.037. PMID:

  • 172

    BodenCEsserLKDoldLLanghansBZhouTKaczmarekDJet al. The IL-6/JAK/STAT3 axis in cholangiocarcinoma and primary sclerosing cholangitis: unlocking therapeutic strategies through patient-derived organoids. Biomedicines. (2025) 13:1083. doi: 10.3390/biomedicines13051083. PMID:

  • 173

    KittiratYSuksawatMThongchotSPadthaisongSPhetcharaburaninJWangwiwatsinAet al. Interleukin-6-derived cancer-associated fibroblasts activate STAT3 pathway contributing to gemcitabine resistance in cholangiocarcinoma. Front Pharmacol. (2022) 13:897368. doi: 10.3389/fphar.2022.897368. PMID:

  • 174

    LomphithakTDuangthimNSonkaewSJitkaewS. Necroptosis-driven T cell activation promotes IL-6-mediated PD-L1 upregulation in cholangiocarcinoma cells: IL-6 gene signature as a biomarker for chemo-immunotherapy response. Biol Direct. (2025) 20:98. doi: 10.1186/s13062-025-00687-y. PMID:

  • 175

    ColynLAlvarez-SolaGLatasaMUUriarteIHerranzJMArechederraMet al. New molecular mechanisms in cholangiocarcinoma: signals triggering interleukin-6 production in tumour cells and KRAS co-opted epigenetic mediators driving metabolic reprogramming. J Exp Clin Cancer Res. (2022) 41:183. doi: 10.1186/s13046-022-02386-2. PMID:

  • 176

    XuYChengMShangPYangY. Role of IL-6 in dendritic cell functions. J Leukocyte Biol. (2022) 111:695–709. doi: 10.1002/jlb.3mr0621-616rr. PMID:

  • 177

    ParkSJNakagawaTKitamuraHAtsumiTKamonHSawaSet al. IL-6 regulates in vivo dendritic cell differentiation through STAT3 activation. J Immunol. (2004) 173:3844–54. doi: 10.4049/jimmunol.173.6.3844. PMID:

  • 178

    ThongchotSVidoniCFerraresiALoilomeWKhuntikeoNSangkhamanonSet al. Cancer-associated fibroblast-derived IL-6 determines unfavourable prognosis in cholangiocarcinoma by affecting autophagy-associated chemoresponse. Cancers (Basel). (2021) 13(9). doi: 10.3390/cancers13092134. PMID:

  • 179

    GuDZhaoXSongJXiaoJZhangLDengGet al. Expression and clinical significance of interleukin-6 pathway in cholangiocarcinoma. Front Immunol. (2024) 15:1374967. doi: 10.3389/fimmu.2024.1374967. PMID:

  • 180

    RicciADRizzoASchirizziAD’AlessandroRFregaGBrandiGet al. Tumour immune microenvironment in intrahepatic cholangiocarcinoma: regulatory mechanisms, functions, and therapeutic implications. Cancers. (2024) 16:3542. doi: 10.3390/cancers16203542. PMID:

  • 181

    ShaoX. Immune microenvironment and progress in immunotherapy of cholangiocarcinoma. Clin Immunol Commun. (2023) 4:73–8. doi: 10.1016/j.clicom.2023.11.002. PMID:

  • 182

    GulleyJLSchlomJBarcellos-HoffMHWangXSeoaneJAudhuyFet al. Dual inhibition of TGF-β and PD-L1: a novel approach to cancer treatment. Mol Oncol. (2022) 16:2117–34. doi: 10.1002/1878-0261.13146. PMID:

  • 183

    ManthopoulouERamaiDDharJSamantaJIoannouALusinaEet al. Cholangiocarcinoma in the era of immunotherapy. Vaccines (Basel). (2023) 11(6). doi: 10.3390/vaccines11061062. PMID:

  • 184

    ZouFLuLLiuJXiaBZhangWHuQet al. Engineered triple inhibitory receptor resistance improves anti-tumour CAR-T cell performance via CD56. Nat Commun. (2019) 10:4109. doi: 10.1038/s41467-019-11893-4. PMID:

  • 185

    LinMNamEShihRMShaferABourenAAyala CejaMet al. Self-regulating CAR-T cells modulate cytokine release syndrome in adoptive T-cell therapy. J Exp Med. (2024) 221(6). doi: 10.1084/jem.20221988. PMID:

  • 186

    PhanthapholNSomboonpatarakunCSuwanchiwasiriKYutiPSujjitjoonJAugsornworawatPet al. Enhanced cytotoxicity against cholangiocarcinoma by fifth-generation chimeric antigen receptor T cells targeting integrin αvβ6 and secreting anti-PD-L1 scFv. J Transl Med. (2025) 23:451. doi: 10.1186/s12967-025-06453-y. PMID:

  • 187

    AbdalsalamNMFIbrahimASaliuMAYangD. MDSC: a new potential breakthrough in CAR-T therapy for solid tumours. Cell Commun Signalling. (2024) 22:612. doi: 10.1186/s12964-024-01995-y. PMID:

  • 188

    GretenTFSchwabeRBardeesyNMaLGoyalLKelleyRKet al. Immunology and immunotherapy of cholangiocarcinoma. Nat Rev Gastroenterol Hepatol. (2023) 20:349–65. doi: 10.1038/s41575-022-00741-4. PMID:

  • 189

    NalawadeSAShaferPBajgainPMcKennaMKAliAKellyLet al. Selectively targeting myeloid-derived suppressor cells through TRAIL receptor 2 to enhance the efficacy of CAR T cell therapy for treatment of breast cancer. J Immunother Cancer. (2021) 9:e003237. doi: 10.1136/jitc-2021-003237. PMID:

  • 190

    Rodriguez-GarciaALynnRCPoussinMEivaMAShawLCO'ConnorRSet al. CAR-T cell-mediated depletion of immunosuppressive tumour-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy. Nat Commun. (2021) 12:877. doi: 10.1038/s41467-021-20893-2. PMID:

  • 191

    WangLZhaoCLuLJiangHWangFZhangXet al. The dilemmas and possible solutions for CAR-T cell therapy application in solid tumours. Cancer Lett. (2024) 591:216871. doi: 10.1016/j.canlet.2024.216871. PMID:

  • 192

    RenRXiongCMaRWangYYueTYuJet al. The recent progress of myeloid-derived suppressor cell and its targeted therapies in cancers. MedComm. (2023) 4:e323. doi: 10.1002/mco2.323. PMID:

  • 193

    RodríguezPCOchoaAC. Arginine regulation by myeloid derived suppressor cells and tolerance in cancer: mechanisms and therapeutic perspectives. Immunol Rev. (2008) 222:180–91. doi: 10.1111/j.1600-065X.2008.00608.x

  • 194

    ChengJNYuanYXZhuBJiaQ. Myeloid-derived suppressor cells: a multifaceted accomplice in tumour progression. Front Cell Dev Biol. (2021) 9:740827. doi: 10.3389/fcell.2021.740827. PMID:

  • 195

    StiffATrikhaPMundy-BosseBMcMichaelEMaceTABenberJet al. Nitric oxide production by myeloid-derived suppressor cells plays a role in impairing Fc receptor–mediated natural killer cell function. Clin Cancer Res. (2018) 24:1891–904. doi: 10.1158/1078-0432.ccr-17-0691. PMID:

  • 196

    LuJLuoYRaoDWangTLeiZChenXet al. Myeloid-derived suppressor cells in cancer: therapeutic targets to overcome tumour immune evasion. Exp Haematol Oncol. (2024) 13:39. doi: 10.1186/s40164-024-00505-7. PMID:

  • 197

    YangYGuoRQuLLiuXWangZWangPet al. Tumour-associated macrophages remodel the suppressive tumour immune microenvironment and targeted therapy for immunotherapy. J Exp Clin Cancer Res. (2025) 44:145. doi: 10.1186/s13046-025-03377-9. PMID:

  • 198

    JiZZChanMKKChanASWLeungKTJiangXToKFet al. Tumour-associated macrophages: versatile players in the tumour microenvironment. Front Cell Dev Biol. (2023) 11:1261749. doi: 10.3389/fcell.2023.1261749. PMID:

  • 199

    BasakUSarkarTMukherjeeSChakrabortySDuttaADuttaSet al. Tumour-associated macrophages: an effective player of the tumour microenvironment. Front Immunol. (2023) 14:1295257. doi: 10.3389/fimmu.2023.1295257. PMID:

  • 200

    ChenKLiXDongSGuoYLuoZZhuangSet al. Modulating tumour-associated macrophages through CSF1R inhibition: a potential therapeutic strategy for HNSCC. J Transl Med. (2025) 23:27. doi: 10.1186/s12967-024-06036-3. PMID:

  • 201

    KhanSUKhanMUAzhar Ud DinMKhanIMKhanMIet al. Reprogramming tumour-associated macrophages as a unique approach to target tumour immunotherapy. Front Immunol. (2023) 14:1166487. doi: 10.3389/fimmu.2023.1166487. PMID:

  • 202

    ChenNLiXChintalaNKTanoZEAdusumilliPS. Driving CARs on the uneven road of antigen heterogeneity in solid tumours. Curr Opin Immunol. (2018) 51:103–10. doi: 10.1016/j.coi.2018.03.002. PMID:

  • 203

    NasiriFSafarzadeh KozaniPSalemFMahboubi KanchaMDashti ShokoohiSSafarzadeh KozaniPet al. Mechanisms of antigen-dependent resistance to chimeric antigen receptor (CAR)-T cell therapies. Cancer Cell Int. (2025) 25:64. doi: 10.1186/s12935-025-03697-y. PMID:

  • 204

    TsheringGDorjiPWChaijaroenkulWNa-BangchangK. Biomarkers for the diagnosis of cholangiocarcinoma: a systematic review. Am J Trop Med Hyg. (2018) 98:1788–97. doi: 10.4269/ajtmh.17-0879. PMID:

  • 205

    KendallTVerheijJGaudioEEvertMGuidoMGoeppertBet al. Anatomical, histomorphological and molecular classification of cholangiocarcinoma. Liver Int. (2019) 39:718. doi: 10.1111/liv.14093. PMID:

  • 206

    HuangXTangTZhangGLiangT. Identification of tumour antigens and immune subtypes of cholangiocarcinoma for mRNA vaccine development. Mol Cancer. (2021) 20:50. doi: 10.1186/s12943-021-01342-6. PMID:

  • 207

    TomlinsonJLValleJWIlyasSI. Immunobiology of cholangiocarcinoma. J Hepatol. (2023) 79:867–75. doi: 10.1016/j.jhep.2023.05.010. PMID:

  • 208

    IlyasSIAffoSGoyalLLamarcaASapisochinGYangJDet al. Cholangiocarcinoma — novel biological insights and therapeutic strategies. Nat Rev Clin Oncol. (2023) 20:470–86. doi: 10.1038/s41571-023-00770-1. PMID:

  • 209

    BajJBrylińskiŁWolińskiFGranatMKosteleckaKDudaPet al. Biomarkers and genetic markers of hepatocellular carcinoma and cholangiocarcinoma—what do we already know. Cancers. (2022) 14:1493. doi: 10.3390/cancers14061493. PMID:

  • 210

    GehlVO’RourkeCJAndersenJB. Immunogenomics of cholangiocarcinoma. Hepatology. (2025) 82:522–39. doi: 10.1097/hep.0000000000000688. PMID:

  • 211

    BrindleyPJBachiniMIlyasSIKhanSALoukasASiricaAEet al. Cholangiocarcinoma. Nat Rev Dis Primers. (2021) 7:65. doi: 10.1136/gutjnl-2023-331480. PMID:

  • 212

    HaradaKShimodaSKimuraYSatoYIkedaHIgarashiSet al. Significance of immunoglobulin G4 (IgG4)-positive cells in extrahepatic cholangiocarcinoma: molecular mechanism of IgG4 reaction in cancer tissue. Hepatology. (2012) 56:157–64. doi: 10.1002/hep.25627. PMID:

  • 213

    Gómez-MeleroSHassounehFVallejo-BermúdezIMAgüera-MoralesESolanaRet al. Tandem CAR-T cell therapy: recent advances and current challenges. Front Immunol. (2025) 16:1546172. doi: 10.3389/fimmu.2025.1546172. PMID:

  • 214

    Nolan-StevauxOSmithR. Logic-gated and contextual control of immunotherapy for solid tumours: contrasting multi-specific T cell engagers and CAR-T cell therapies. Front Immunol. (2024) 15:1490911. doi: 10.3389/fimmu.2024.1490911. PMID:

  • 215

    PeterJToppetaFTrubertADanhofSHudecekMDäullaryT. Multi-targeting CAR-T cell strategies to overcome immune evasion in lymphoid and myeloid Malignancies. Oncol Res Treat. (2025) 48:265–79. doi: 10.1159/000543806. PMID:

  • 216

    dos ReisFDSaidaniYMartín-RubioPSanz-PamplonaRStojanovicACorreiaMP. CAR-NK cells: harnessing the power of natural killers for advanced cancer therapy. Front Immunol. (2025) 16:1603757. doi: 10.3389/fimmu.2025.1603757. PMID:

  • 217

    ZugastiIEspinosa-ArocaLFidytKMulens-AriasVDiaz-BeyaMJuanMet al. CAR-T cell therapy for cancer: current challenges and future directions. Signal Transduction Targeted Ther. (2025) 10:210. doi: 10.1038/s41392-025-02269-w. PMID:

  • 218

    LiDWangJWuRYuQShaoFWusimanDet al. Modulating metabolism to improve the therapeutic outcomes of CAR cell therapies: From bench to bedside. Metabolism. (2025) 173:156375. doi: 10.1016/j.metabol.2025.156375. PMID:

  • 219

    SangCYanLLinJLinYGaoQShenX. Identification and validation of a lactate metabolism-related six-gene prognostic signature in intrahepatic cholangiocarcinoma. J Cancer Res Clin Oncol. (2024) 150:199. doi: 10.1007/s00432-024-05723-4. PMID:

  • 220

    RicciJ-E. Tumour-induced metabolic immunosuppression: mechanisms and therapeutic targets. Cell Rep. (2025) 44:115206. doi: 10.1016/j.celrep.2024.115206. PMID:

  • 221

    XiaCYinSToKKWFuL. CD39/CD73/A2AR pathway and cancer immunotherapy. Mol Cancer. (2023) 22:44. doi: 10.1186/s12943-023-01733-x. PMID:

  • 222

    KaplinskyNWilliamsKWatkinsDAdamsMStanberyLNemunaitisJ. Regulatory role of CD39 and CD73 in tumour immunity. Future Oncol. (2024) 20:1367–80. doi: 10.2217/fon-2023-0871. PMID:

  • 223

    XuYPZhouYQZhaoYJZhaoYWangFHuangXYet al. High level of CD73 predicts poor prognosis of intrahepatic cholangiocarcinoma. J Cancer. (2021) 12:4655–60. doi: 10.7150/jca.51038. PMID:

  • 224

    SunBYYangZFWangZTLiuGZhouCZhouJet al. Integrative analyses identify CD73 as a prognostic biomarker and immunotherapeutic target in intrahepatic cholangiocarcinoma. World J Surg Oncol. (2023) 21:90. doi: 10.1186/s12957-023-02970-6. PMID:

  • 225

    ArnerENRathmellJC. Metabolic programming and immune suppression in the tumour microenvironment. Cancer Cell. (2023) 41:421–33. doi: 10.1016/j.ccell.2023.01.009. PMID:

  • 226

    HartmannJSchüßler-LenzMBondanzaABuchholzCJ. Clinical development of CAR T cells-challenges and opportunities in translating innovative treatment concepts. EMBO Mol Med. (2017) 9:1183–97. doi: 10.15252/emmm.201607485. PMID:

  • 227

    JassinMBlockADésirontLVranckenLGrégoireCBaronFet al. From spheroids to organoids: next-generation models for CAR-T cell therapy research in solid tumours. Front Immunol. (2025) 16:1626369. doi: 10.3389/fimmu.2025.1626369. PMID:

  • 228

    AlsaieediAAZaherKA. Tracing the development of CAR-T cell design: from concept to next-generation platforms. Front Immunol. (2025) 16:1615212. doi: 10.3389/fimmu.2025.1615212. PMID:

  • 229

    Davis-MarcisakEFDeshpandeAStein-O'BrienGLHoWJLaheruDJaffeeEMet al. From bench to bedside: single-cell analysis for cancer immunotherapy. Cancer Cell. (2021) 39:1062–80. doi: 10.1016/j.ccell.2021.07.004. PMID:

  • 230

    Di MeoFKaleBKoomenJMPernaF. Mapping the cancer surface proteome in search of target antigens for immunotherapy. Mol Ther. (2024) 32:2892–904. doi: 10.1016/j.ymthe.2024.07.019. PMID:

  • 231

    ZhangYYangCChenXWuLYuanZZhangFet al. Cancer therapy resistance from a spatial-omics perspective. Clin Transl Med. (2025) 15:e70396. doi: 10.1002/ctm2.70396. PMID:

  • 232

    HorvathPCosciaF. Spatial proteomics in translational and clinical research. Mol Syst Biol. (2025) 21:526–30. doi: 10.1038/s44320-025-00101-9. PMID:

  • 233

    ZuyinLZhaoLQianCChangkunZDelinMJialingHet al. Single-cell and spatial transcriptomics delineate the microstructure and immune landscape of intrahepatic cholangiocarcinoma in the leading-edge area. Adv Sci (Weinh). (2025) 12:e2412740. doi: 10.1002/advs.202412740. PMID:

  • 234

    HongLMeiJSunXWuYDongZJinYet al. Spatial single-cell proteomics landscape decodes the tumour microenvironmental ecosystem of intrahepatic cholangiocarcinoma. Hepatology. (2025). doi: 10.1017/cbo9780511722226.019. PMID:

  • 235

    CarcopinoCErdoganEHenrichMKoboldS. Armouring chimeric antigen receptor (CAR) T cells as micropharmacies for cancer therapy. Immuno-Oncology Technol. (2024) 24:100739. doi: 10.1016/j.iotech.2024.100739. PMID:

  • 236

    YangDDMacmorlandWArnoldJN. Current strategies for armouring chimeric antigen receptor T-cells to overcome barriers of the solid tumour microenvironment. Front Immunol. (2025) 16:1643941. doi: 10.3389/fimmu.2025.1643941. PMID:

  • 237

    RenJLiuXFangCJiangSJuneCHZhaoY. Multiplex genome editing to generate universal CAR T cells resistant to PD1 inhibition. Clin Cancer Res. (2017) 23:2255–66. doi: 10.1158/1078-0432.22464411. PMID:

  • 238

    PievaniABiondiMTettamantiSBiondiADottiGSerafiniM. CARs are sharpening their weapons. J Immunother Cancer. (2024) 12:e008275. doi: 10.1136/jitc-2023-008275. PMID:

  • 239

    ChmielewskiMAbkenH. CAR T cells transform to trucks: chimeric antigen receptor-redirected T cells engineered to deliver inducible IL-12 modulate the tumour stroma to combat cancer. Cancer Immunol Immunother. (2012) 61:1269–77. doi: 10.1007/s00262-012-1202-z. PMID:

  • 240

    RallisKSHillyarCRSiderisMDaviesJK. T-cell-based immunotherapies for haematological cancers, part B: a SWOT analysis of adoptive cell therapies. Anticancer Res. (2021) 41:1143–56. doi: 10.21873/anticanres.14871. PMID:

  • 241

    ChmielewskiMHombachAAAbkenH. Of CARs and TRUCKs: chimeric antigen receptor (CAR) T cells engineered with an inducible cytokine to modulate the tumour stroma. Immunol Rev. (2014) 257:8390. doi: 10.1111/imr.12125. PMID:

  • 242

    HombachABardenMHannappelLChmielewskiMRapplGSachinidisAet al. IL12 integrated into the CAR exodomain converts CD8+ T cells to poly-functional NK-like cells with superior killing of antigen-loss tumours. Mol Ther. (2022) 30:593605. doi: 10.1016/j.ymthe.2021.10.011. PMID:

  • 243

    HawkinsERD'SouzaRRKlampatsaA. Armored CAR T-cells: the next chapter in T-cell cancer immunotherapy. Biologics. (2021) 15:95105. doi: 10.2147/btt.s291768. PMID:

  • 244

    WangZWangMWangMZhouRDengXOuyangXet al. From molecular design to clinical translation: dual-targeted CAR-T strategies in cancer immunotherapy. Int J Biol Sci. (2025) 21:2676–91. doi: 10.7150/ijbs.108036. PMID:

  • 245

    Hyrenius-WittstenASuYParkMGarciaJMAlaviJPerryNet al. SynNotch CAR circuits enhance solid tumour recognition and promote persistent antitumor activity in mouse models. Sci Transl Med. (2021) 13:eabd8836. doi: 10.1126/scitranslmed.abd8836. PMID:

  • 246

    MiaoLZhangJHuangBZhangZWangSTangFet al. Special chimeric antigen receptor (CAR) modifications of T cells: a review. Front Oncol. (2022) 12:832765. doi: 10.3389/fonc.2022.832765. PMID:

  • 247

    GuzmanGReedMRBielamowiczKKossBRodriguezA. CAR-T therapies in solid tumours: opportunities and challenges. Curr Oncol Rep. (2023) 25:479–89. doi: 10.1007/s11912-023-01380-x. PMID:

  • 248

    AiKLiuBChenXHuangCYang ZhangW. Optimizing CAR-T cell therapy for solid tumours: current challenges and potential strategies. J Haematol Oncol. (2024) 17:105. doi: 10.1186/s13045-024-01625-7. PMID:

  • 249

    EscobarGBergerTRMausMV. CAR-T cells in solid tumours: challenges and breakthroughs. Cell Rep Med. (2025), 102353. doi: 10.1016/j.xcrm.2025.102353. PMID:

  • 250

    AzeezSSYashooaRKSmailSWSalihiAAliASMamandSet al. Advancing CAR-based cell therapies for solid tumours: challenges, therapeutic strategies, and perspectives. Mol Cancer. (2025) 24:191. doi: 10.1186/s12943-025-02386-8. PMID:

  • 251

    Clinical study of chimeric HER-2 antigen receptor-modified T cells in chemotherapy refractory HER-2 advanced solid tumours. Han WeidongChinese PLA General Hospital (2013). doi: 10.1093/intimm/dxw018.

  • 252

    XuDMaYZhaoBLiSZhangYPanSet al. Thymoquinone induces G2/M arrest, inactivates PI3K/Akt and nuclear factor-κB pathways in human cholangiocarcinomas both in vitro and in vivo. Oncol Rep. (2014) 31:2063–70. doi: 10.3892/or.2014.3059. PMID:

  • 253

    PrakobwongSGuptaSCKimJHSungBPinlaorPHirakuYet al. Curcumin suppresses proliferation and induces apoptosis in human biliary cancer cells through modulation of multiple cell signalling pathways. Carcinogenesis. (2011) 32:1372–80. doi: 10.1093/carcin/bgr032. PMID:

  • 254

    KwakTWParkSBKimHJJeongYIKangDH. Anticancer activities of epigallocatechin-3-gallate against cholangiocarcinoma cells. Onco Targets Ther. (2017) 10:137–44. doi: 10.2147/ott.s112364. PMID:

  • 255

    ThongponPIntuyodKChomwongSPongkingTKlungsaengSMuisukKet al. Curcumin synergistically enhances the efficacy of gemcitabine against gemcitabine-resistant cholangiocarcinoma via the targeting LAT2/glutamine pathway. Sci Rep. (2024) 14:16059. doi: 10.1038/s41598-024-66945-7. PMID:

  • 256

    JainABoradMJKelleyRKWangYAbdel-WahabRMeric-BernstamFet al. Cholangiocarcinoma with FGFR genetic aberrations: A unique clinical phenotype. JCO Precis Oncol. (2018) 2:112. doi: 10.1200/po.17.00080. PMID:

  • 257

    GoyalLKongpetchSCrolleyVEBridgewaterJ. Targeting FGFR inhibition in cholangiocarcinoma. Cancer Treat Rev. (2021) 95:102170. doi: 10.1016/j.ctrv.2021.102170. PMID:

  • 258

    NeumannOBurnTCAllgäuerMBallMKirchnerMAlbrechtTet al. Genomic architecture of FGFR2 fusions in cholangiocarcinoma and its implication for molecular testing. Br J Cancer. (2022) 127:1540–9. doi: 10.1038/s41416-022-01908-1. PMID:

  • 259

    BoscoeANRollandCKelleyRK. Frequency and prognostic significance of isocitrate dehydrogenase 1 mutations in cholangiocarcinoma: a systematic literature review. J Gastrointest Oncol. (2019) 10:751–65. doi: 10.21037/jgo.2019.03.10. PMID:

  • 260

    BorgerDRTanabeKKFanKCLopezHUFantinVRStraleyKSet al. Frequent mutation of isocitrate dehydrogenase (IDH)1 and IDH2 in cholangiocarcinoma identified through broad-based tumour genotyping. Oncologist. (2012) 17:72–9. doi: 10.1634/theoncologist.2011-0386. PMID:

  • 261

    Abou-AlfaGKSahaiVHollebecqueAVaccaroGMelisiDAl-RajabiRet al. Pemigatinib for previously treated, locally advanced or metastatic cholangiocarcinoma: a multicentre, open-label, phase 2 study. Lancet Oncol. (2020) 21:671–84. doi: 10.1016/s1470-2045(20)30109-1. PMID:

  • 262

    GoyalLMeric-BernstamFHollebecqueAValleJWMorizaneCKarasicTBet al. Futibatinib for FGFR2-rearranged intrahepatic cholangiocarcinoma. N Engl J Med. (2023) 388:228–39. doi: 10.1056/nejmoa2206834. PMID:

  • 263

    ZhuAXMacarullaTJavleMMKelleyRKLubnerSJAdevaJet al. Final overall survival efficacy results of ivosidenib for patients with advanced cholangiocarcinoma with IDH1 mutation: The phase 3 randomized clinical ClarIDHy trial. JAMA Oncol. (2021) 7:1669–77. doi: 10.1001/jamaoncol.2021.3836. PMID:

  • 264

    AdevaJ. Current development and future perspective of IDH1 inhibitors in cholangiocarcinoma. Liver Cancer Int. (2022) 3:1731. doi: 10.1002/lci2.43. PMID:

  • 265

    MohanAQuingalahuaEGunchickVPaulSKumar-SinhaCCryslerOet al. PARP inhibitor therapy in patients with IDH1 mutated cholangiocarcinoma. Oncologist. (2024) 29:725–30. doi: 10.1093/oncolo/oyae163. PMID:

  • 266

    YaoW-YGongW. Immunotherapy in cholangiocarcinoma: From concept to clinical trials. Surg Pract Sci. (2021) 5:100028. doi: 10.1016/j.sipas.2021.100028. PMID:

  • 267

    XuNWuZPanJXuXWeiQ. CAR-T cell therapy: Advances in digestive system Malignant tumours. Mol Ther: Oncol. (2024) 32:200872. doi: 10.1016/j.omton.2024.200872. PMID:

  • 268

    EmensLAMoussionCHwuPGulleyJLOhashiPSBifulcoCBet al. SITC perspective: leveraging patient enrichment biomarkers to accelerate early phase IO drug development. J Immunother Cancer. (2025) 13:e010739. doi: 10.1136/jitc-2024-010739. PMID:

  • 269

    LevstekLJanžičLIhanAKopitarAN. Biomarkers for prediction of CAR T therapy outcomes: current and future perspectives. Front Immunol. (2024) 15:1378944. doi: 10.3389/fimmu.2024.1378944. PMID:

  • 270

    CaoLYZhaoYChenYMaPXieJCPanXMet al. CAR-T cell therapy clinical trials: global progress, challenges, and future directions from ClinicalTrials.gov insights. Front Immunol. (2025) 16:1583116. doi: 10.3389/fimmu.2025.1583116. PMID:

  • 271

    KhanSHChoiYVeenaMLeeJKShinDS. Advances in CAR T cell therapy: antigen selection, modifications, and current trials for solid tumours. Front Immunol. (2025) 15:1489827. doi: 10.3389/fimmu.2024.1489827. PMID:

  • 272

    YuanYChenK. Novel bayesian adaptive early phase designs to accelerate the development of CAR T-cell therapy. Haematol Oncol Discov. (2022) 1(1). doi: 10.15212/hod-2022-0003

  • 273

    ZangYLeeJJ. Adaptive clinical trial designs in oncology. Chin Clin Oncol. (2014) 3(4). doi: 10.3978/j.issn.2304-3865.2014.06.04

  • 274

    BuiTAMeiHSangROrtegaDGDengW. Advancements and challenges in developing in vivo CAR T cell therapies for cancer treatment. eBioMedicine. (2024) 106:105266. doi: 10.1016/j.ebiom.2024.105266. PMID:

  • 275

    ZangYGuoBQiuYLiuHOpyrchalMLuX. Adaptive phase I-II clinical trial designs identifying optimal biological doses for targeted agents and immunotherapies. Clin Trials. (2024) 21:298307. doi: 10.1177/17407745231220661. PMID:

  • 276

    GargettTBrownMP. The inducible caspase-9 suicide gene system as a "safety switch" to limit on-target, off-tumour toxicities of chimeric antigen receptor T cells. Front Pharmacol. (2014) 5:235. doi: 10.3389/fphar.2014.00235. PMID:

  • 277

    Di StasiATeySDottiGFujitaYKennedy-NasserAMartinezCet al. Inducible apoptosis as a safety switch for adoptive cell therapy. N Engl J Med. (2011) 365:1673–83. doi: 10.1056/nejmoa1106152. PMID:

  • 278

    StraathofKCPulèMAYotndaPDottiGVaninEFBrennerMKet al. An inducible caspase 9 safety switch for T-cell therapy. Blood. (2005) 105:4247–54. doi: 10.1182/blood-2004-11-4564. PMID:

  • 279

    WeinkoveRGeorgePDasyamNMcLellanAD. Selecting costimulatory domains for chimeric antigen receptors: functional and clinical considerations. Clin Transl Immunol. (2019) 8:e1049. doi: 10.1002/cti2.1049. PMID:

  • 280

    KhalifehMSalmanH. Engineering resilient CAR T cells for immunosuppressive environment. Mol Ther. (2025) 33:2391–405. doi: 10.1016/j.ymthe.2025.01.035. PMID:

  • 281

    HongMClubbJDChenYY. Engineering CAR-T cells for next-generation cancer therapy. Cancer Cell. (2020) 38:473–88. doi: 10.1016/j.ccell.2020.07.005. PMID:

  • 282

    MakamasCChanyaMKittikornWUraiwanPSiwanonJ. Glucose metabolic dysregulation and oxidative stress in cholangiocarcinoma: molecular mechanisms, oncogenic drivers, and novel therapeutic targets. Hepatoma Res. (2025) 11:19. doi: 10.20517/2394-5079.2025.15. PMID:

  • 283

    ValentićBKellyAShestovAAGanZShenFChatoffAet al. The glucose transporter 5 enhances CAR-T cell metabolic function and anti-tumour durability. Res Sq. (2024). doi: 10.21203/rs.3.rs-4342820/v1

  • 284

    ChenWLWangYZhaoAXiaLXieGSuMet al. Enhanced fructose utilization mediated by SLC2A5 is a unique metabolic feature of acute myeloid leukaemia with therapeutic potential. Cancer Cell. (2016) 30:779–91. doi: 10.1016/j.ccell.2016.09.006. PMID:

  • 285

    PageRMartinezOLarcombe-YoungDBugallo-BlancoEPapaSPeruchaE. GLUT5 armouring enhances adoptive T-cell therapy anti-tumour activity under glucose-limiting conditions. Immunother Adv. (2025) 5:ltaf018. doi: 10.1093/immadv/ltaf018. PMID:

  • 286

    SchildTWallischPZhaoYWangYHaughtonLChirayilRet al. Metabolic engineering to facilitate anti-tumour immunity. Cancer Cell. (2025) 43:552562.e9. doi: 10.1016/j.ccell.2025.02.004. PMID:

  • 287

    WangLQiaoWZhenXZhangYDongZ. Targeting the gut-liver axis in cholangiocarcinoma: mechanisms, therapeutic advances, and future directions. Front Oncol. (2025) 15:1646897. doi: 10.3389/fonc.2025.1646897. PMID:

  • 288

    CharrotSHallamS. CAR-T cells: Future perspectives. Hemasphere. (2019) 3:e188. doi: 10.1097/hs9.0000000000000188. PMID:

  • 289

    PengLSferruzzaGYangLZhouLChenS. CAR-T and CAR-NK as cellular cancer immunotherapy for solid tumours. Cell Mol Immunol. (2024) 21:1089–108. doi: 10.1038/s41423-024-01207-0. PMID:

  • 290

    ZhangCLiuH. Advancements and future directions of dual-target chimeric antigen receptor T-cell therapy in preclinical and clinical studies. J Immunol Res. (2025) 2025:5845167. doi: 10.1155/jimr/5845167. PMID:

  • 291

    ShirzadianMMooriSRabbaniRRahbarizadehF. SynNotch CAR-T cell, when synthetic biology and immunology meet again. Front Immunol. (2025) 16:1545270. doi: 10.3389/fimmu.2025.1545270. PMID:

  • 292

    HamiehMMansilla-SotoJRiviereISadelainM. Programming CAR T cell tumour recognition: Tuned antigen sensing and logic gating. Cancer Discov. (2023) 13:829–43. doi: 10.1158/2159-8290.cd-23-0101. PMID:

  • 293

    HanXWangYWeiJHanW. Multi-antigen-targeted chimeric antigen receptor T cells for cancer therapy. J Hematol Oncol. (2019) 12:128. doi: 10.1186/s13045-019-0813-7. PMID:

  • 294

    BanalesJMMarinJJGLamarcaA. Cholangiocarcinoma 2020: the next horizon in mechanisms and management. Nat Rev Gastroenterol Hepatol. (2020) 17:557–88. doi: 10.1038/s41575-020-0310-z. PMID:

  • 295

    GrosserRCherkasskyLChintalaNAdusumilliPS. Combination immunotherapy with CAR T cells and checkpoint blockade for the treatment of solid tumours. Cancer Cell. (2019) 36:471–82. doi: 10.1016/j.ccell.2019.09.006. PMID:

  • 296

    LvYLuoXXieZQiuJYangJDengYet al. Prospects and challenges of CAR-T cell therapy combined with ICIs. Front Oncol. (2024) 14:1368732. doi: 10.3389/fonc.2024.1368732. PMID:

  • 297

    MohdHMichniak-KohnB. Synergistic anti-cancer effects of curcumin and thymoquinone against melanoma. Antioxid (Basel). (2024) 13(12). doi: 10.3390/antiox13121573. PMID:

  • 298

    MostofaAHossainMKBasakDBin SayeedMS. Thymoquinone as a potential adjuvant therapy for cancer treatment: Evidence from preclinical studies. Front Pharmacol. (2017) 8:295. doi: 10.3389/fphar.2017.00295. PMID:

  • 299

    InoueTYonedaM. Recent updates on local ablative therapy combined with chemotherapy for extrahepatic cholangiocarcinoma: Photodynamic therapy and radiofrequency ablation. Curr Oncol. (2023) 30:2159–68. doi: 10.3390/curroncol30020166. PMID:

  • 300

    XieGZhongZYeTXiaoZ. Radiofrequency ablation combined with immunotherapy to treat hepatocellular carcinoma: A comprehensive review. BMC Surg. (2025) 25:47. doi: 10.1186/s12893-025-02778-z. PMID:

  • 301

    TangRHeHLinXWuNWanLChenQet al. Novel combination strategy of high intensity focused ultrasound (HIFU) and checkpoint blockade boosted by bioinspired and oxygen-supplied nanoprobe for multimodal imaging-guided cancer therapy. J Immunother Cancer. (2023) 11:e006226. doi: 10.1136/jitc-2022-006226. PMID:

  • 302

    JørgensenLVChristensenEBBarnkobMBBaringtonT. The clinical landscape of CAR NK cells. Exp Haematol Oncol. (2025) 14:46. doi: 10.1186/s40164-025-00633-8

  • 303

    KimH. Overcoming immune barriers in allogeneic CAR-NK therapy: From multiplex gene editing to AI-driven precision design. Biomolecules. (2025) 15(7). doi: 10.3390/biom15070935. PMID:

  • 304

    LuJMaYLiQXuYXueYXuS. CAR macrophages: A promising novel immunotherapy for solid tumours and beyond. biomark Res. (2024) 12:86. doi: 10.1186/s40364-024-00637-2. PMID:

  • 305

    AbdinSMPaaschDMorganMLachmannN. CARs and beyond: Tailoring macrophage-based cell therapeutics to combat solid Malignancies. J Immunother Cancer. (2021) 9:e002741. doi: 10.1136/jitc-2021-002741. PMID:

  • 306

    SantoniMMassariFMontironiRBattelliN. Manipulating macrophage polarization in cancer patients: From nanoparticles to human chimeric antigen receptor macrophages. Biochim Biophys Acta (BBA) - Rev Cancer. (2021) 1876:188547. doi: 10.1016/j.bbcan.2021.188547. PMID:

  • 307

    XianYWenL. CAR beyond αβ T cells: Unleashing NK cells, macrophages, and γδ T lymphocytes against solid tumours. Vaccines (Basel). (2025) 13(6). doi: 10.3390/vaccines13060654. PMID:

  • 308

    Silva-SantosBMensuradoSCoffeltSB. γδ T cells: Pleiotropic immune effectors with therapeutic potential in cancer. Nat Rev Cancer. (2019) 19:392404. doi: 10.1038/s41568-019-0153-5. PMID:

  • 309

    LiuEMarinDBanerjeePMacapinlacHAThompsonPBasarRet al. Use of CAR-transduced natural killer cells in CD19-positive lymphoid tumours. N Engl J Med. (2020) 382:545–53. doi: 10.1056/nejmoa1910607. PMID:

  • 310

    XieGDongHLiangYHamJDRizwanRChenJ. CAR-NK cells: A promising cellular immunotherapy for cancer. EBioMedicine. (2020) 59:102975. doi: 10.1016/j.ebiom.2020.102975. PMID:

  • 311

    KlichinskyMRuellaMShestovaOLuXMBestAZeemanMet al. Human chimeric antigen receptor macrophages for cancer immunotherapy. Nat Biotechnol. (2020) 38:947–53. doi: 10.1038/s41587-020-0462-y. PMID:

  • 312

    LeiAYuHLuSLuHDingXTanTet al. A second-generation M1-polarized CAR macrophage with antitumor efficacy. Nat Immunol. (2024) 25:102–16. doi: 10.1038/s41590-023-01687-8. PMID:

  • 313

    ReissKAAngelosMGDeesECYuanYUenoNTPohlmannPRet al. CAR-macrophage therapy for HER2-overexpressing advanced solid tumours: A phase 1 trial. Nat Med. (2025) 31:1171–82. doi: 10.1038/s41591-025-03495-z. PMID:

  • 314

    SebestyenZPrinzIDéchanet-MervilleJSilva-SantosBKuballJ. Translating gammadelta (γδ) T cells and their receptors into cancer cell therapies. Nat Rev Drug Discov. (2020) 19:169–84. doi: 10.1038/s41573-019-0038-z. PMID:

  • 315

    RaverdeauMCunninghamSPHarmonCLynchL. γδ T cells in cancer: A small population of lymphocytes with big implications. Clin Transl Immunol. (2019) 8:e01080. doi: 10.1002/cti2.1080. PMID:

  • 316

    ZakeriNHallASwadlingLPallettLJSchmidtNMDinizMOet al. Characterisation and induction of tissue-resident gamma delta T-cells to target hepatocellular carcinoma. Nat Commun. (2022) 13:1372. doi: 10.1038/s41467-022-29012-1. PMID:

  • 317

    AlnaggarMXuYLiJHeJChenJLiMet al. Allogenic Vγ9Vδ2 T cell as new potential immunotherapy drug for solid tumour: A case study for cholangiocarcinoma. J Immunother Cancer. (2019) 7:36. doi: 10.1186/s40425-019-0501-8. PMID:

  • 318

    ZhangTChenJNiuLLiuYYeGJiangMet al. Clinical safety and efficacy of locoregional therapy combined with adoptive transfer of allogeneic γδ T cells for advanced hepatocellular carcinoma and intrahepatic cholangiocarcinoma. J Vasc Interv Radiol. (2022) 33:1927.e3. doi: 10.1016/j.jvir.2021.09.012. PMID:

  • 319

    SawaisornPGaballaASaimuangKLeepiyasakulchaiCLertjuthapornSHongengSet al. Human Vγ9Vδ2 T cell expansion and their cytotoxic responses against cholangiocarcinoma. Sci Rep. (2024) 14:1291. doi: 10.1038/s41598-024-51794-1. PMID:

  • 320

    AhmadAVDShaikhMSKhanSWKhanMM. Emerging therapeutic approaches for cholangiocarcinoma: harnessing natural compounds and targeted therapies with proposed cellular mechanism. Discover Mol. (2025) 2:5. doi: 10.1007/s44345-025-00014-y. PMID:

  • 321

    LangMHensonRBraconiCPatelT. Epigallocatechin-gallate modulates chemotherapy-induced apoptosis in human cholangiocarcinoma cells. Liver Int. (2009) 29:670–7. doi: 10.1111/j.1478-3231.2009.01984.x. PMID:

  • 322

    FDAFDA approves ivosidenib for advanced or metastatic cholangiocarcinoma FDA (2022). Available online at: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-ivosidenib-advanced-or-metastatic-cholangiocarcinoma (Accessed February 13, 2026).

  • 323

    ChmielPGęcaKRawicz-PruszyńskiKPolkowskiWPSkórzewskaM. FGFR inhibitors in cholangiocarcinoma-a novel yet primary approach: Where do we stand now and where to head next in targeting this axis? Cells. (2022) 11(23). doi: 10.3390/cells11233929. PMID:

  • 324

    NCT02052778. Phase 1/2 study of TAS-120 in patients with advanced solid tumours harbouring FGF/FGFR aberrations. USA: Taiho Oncology, Inc. (2014). doi: 10.1158/1538-7445.am2019-ct238.

  • 325

    NCT02989857. A phase 3, multicentre, randomized, double-blind, placebo-controlled study of AG-120 in previously-treated subjects with nonresectable or metastatic cholangiocarcinoma with an IDH1 mutation. France: Institut de Recherches Internationales Servier (2016).

  • 326

    CaruanaISavoldoBHoyosVWeberGLiuHKimESet al. Heparanase promotes tumour infiltration and antitumor activity of CAR-redirected T lymphocytes. Nat Med. (2015) 21:524–9. doi: 10.1038/nm.3833. PMID:

  • 327

    GuoFCuiJ. CAR-T in solid tumours: Blazing a new trail through the brambles. Life Sci. (2020) 260:118300. doi: 10.1016/j.lfs.2020.118300. PMID:

Summary

Keywords

ACT, adoptive cell therapy, armoured cars, CCA, cholangiocarcinoma, combination immunotherapy, immune checkpoints, TME

Citation

Froghi S, Klampatsa A and Davidson B (2026) Harnessing cellular immunotherapy for cholangiocarcinoma: an integrated roadmap for overcoming resistance. Front. Immunol. 17:1757504. doi: 10.3389/fimmu.2026.1757504

Received

30 November 2025

Revised

10 March 2026

Accepted

16 March 2026

Published

08 May 2026

Volume

17 - 2026

Edited by

Amorette Barber, Longwood University, United States

Reviewed by

Fatemeh Vatankhah, University of Miami, United States

Nunzia Porro, Università degli Studi di Firenze, Italy

Updates

Copyright

*Correspondence: Saied Froghi,

†ORCID: Saied Froghi, orcid.org/0000-0001-5152-6297; Astero Klampatsa, orcid.org/0000-0003-0572-502X

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics