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Abstract Background Cholangiocarcinoma (CCA) is an aggressive primary liver cancer with remarkable molecular heterogeneity. Mutations in SWI/SNF chromatin remodeling components occur in > 20% of CCA cases, with ARID1A and PBRM1 being significantly co-mutated. However, how the dual loss of these subunits reshapes chromatin architecture and drives oncogenic programs remains unclear that we aimed to address by profiling SWI/SNF redistribution, chromatin accessibility, 3D chromatin structure, and transcriptome in a dual Arid1a/Pbrm1 knockout mouse model. Methods CCA was induced in Cas9 knock-in mice via biliary instillation of myr-AKT along with sgRNAs targeting Arid1a and Pbrm1, generating APAC cell line. AC cell line was derived from mice receiving myr-AKT alone. Isogenic dual knockout (AC-sgAP) and control (AC-NT) lines were then generated from AC cells. Multi-omics profiling included ChIP-seq for SMARCA4/BRG1 and DPF2, ATAC-seq, RNA-seq, and Hi-C. Results ChIP-seq revealed that AC-sgAP cells showed decreased BRG1 binding (9,217 vs. 20,769 peaks) but increased DPF2 binding (7,527 vs. 2,068 peaks) and co-occupancy (5,037 vs. 1,888 peaks) compared to AC-NT. In contrast, APAC cells exhibited depletion of both BRG1 (12,994 peaks) and particularly DPF2 (146 peaks) with minimal overlap (68 shared peaks). Genome-wide accessibility profiling demonstrated that APAC cells had 78,582 differentially accessible regions compared to AC-NT, the majority (>70%) representing loss of accessibility, whereas AC-sgAP cells showed only 6,587 differentially accessible regions. Transcriptional profiling identified both unique and common significantly differentially expressed genes in APAC and AC-sgAP relative to AC-NT controls. Interestingly, topologically associating domains (TADs) calling revealed that AC-sgAP cells displayed approximately three-fold more differential TADs compared to AC-NT than APAC cells relative to controls. Conclusions Concurrent Arid1a/Pbrm1 loss drives extensive chromatin and transcriptional reprogramming through SWI/SNF redistribution. APAC cells achieving greater transcriptional dysregulation with fewer TAD disruptions might suggest that intra-TAD regulatory changes are critical events in SWI/SNF-mutant cholangiocarcinoma.

Abstract Background and Aims Cholangiocarcinoma (CCA) is a rare and aggressive malignancy originating from the bile ducts, characterized by a poor prognosis and limited treatment options. Potentially curative interventions include surgical resection with negative margins (R0) and liver transplantation. However, despite these treatments, the likelihood of post-surgical recurrence remains high, with 50–70% of patients experiencing disease recurrence within five years. This highlights the urgent need for reliable prognostic biomarkers to guide clinical decision-making and personalize postoperative care. Numerous prognostic biomarkers identified in tumor tissue for CCA have been proposed, but many studies suffer from limitations such as single-center designs, small patient cohorts, and semi-quantitative techniques such as immunohistochemistry. These methods often rely on observer interpretation and antibody specificity, which can compromise objectivity and reproducibility. To overcome these limitations, we aimed to identify and validate robust quantitative prognostic biomarkers for CCA by analyzing tumor mRNA expression, integrating them using machine learning (ML), and developing a web-based tool to predict tumor recurrence and overall survival (OS). Method A systematic literature review was conducted to identify candidate prognostic tissue biomarkers for CCA, which were further validated using Cox proportional hazards (PH) OS analyses in five independent transcriptomic cohorts. An international multicenter cohort of 221 patients undergoing tumor resection was assembled, and tumor mRNA expression was analyzed using high-throughput TaqMan OpenArray RT-qPCR. Associations between clinical and molecular features and recurrence-free survival (RFS) and OS were assessed using Cox PH analyses. Six ML survival models were trained and evaluated using nested cross-validation, followed by feature reduction. Shapley Additive exPlanations (SHAP) values were applied to assess feature importance and enhance model interpretability. Results Among 496 candidate CCA prognostic biomarkers identified from the literature, 52 showed prognostic value in Cox PH analyses across transcriptomic cohorts. In the multicenter validation cohort, integrative Cox PH analyses incorporating clinical variables and gene expression identified 11 genes significantly associated with RFS and 25 with OS. The 11 RFS-associated genes, combined with five clinical variables, were used to train six ML survival models, among which the random survival forest (RSF) model demonstrated the highest predictive accuracy. Following training of RSF models across all combinations of four genes and five clinical variables, and subsequent feature importance–based selection, a final model incorporating three genes (FSCN1, LDHA, and SLC2A1) and four clinical variables (CCA subtype, resection margin status, biological sex, and age at surgery) achieved a testing time-dependent AUC of 0.82. This model significantly stratified patients into high- and low recurrence-risk groups, with a median RFS (mRFS) of 8 months and 70 months, respectively. In addition, an OS prediction model using the same feature set achieved a testing AUC of 0.775 and significantly stratified patients according to 5-year OS risk, with a median OS (mOS) of 23 months in the high-risk group and 77 months in the low-risk group. Conclusion We identified and validated a robust panel of prognostic tissue biomarkers in patients with resected CCA. Integration of these biomarkers with clinical variables into ML-based prognostic models enabled accurate prediction of RFS and OS. The resulting web-based tool allows clinicians to input RT-qPCR results for the validated biomarkers and obtain precise, individualized prognostic predictions for postoperative recurrence and survival.

Abstract Background Cholangiocarcinoma (CCA) is an aggressive hepatobiliary malignancy with marked molecular heterogeneity, limited systemic treatment options, and poor prognosis. Chemoresistance and KRAS mutations remain major therapeutic challenges. Dysregulation of the Hippo pathway, particularly YAP/TAZ hyperactivation, drives CCA progression and resistance. TEAD, the essential transcriptional partner of YAP/TAZ, represents a promising target. IAG933 is a novel oral pan-TEAD inhibitor designed to disrupt YAP/TAZ–TEAD interactions. RMC-6236, a pan-KRAS inhibitor, has also gained attention. Combining TEAD and KRAS inhibition may overcome resistance and improve efficacy in CCA. Methods We evaluated IAG933 in human (HuCCT1, RBE) and murine (SB1, FAC) CCA cell lines. Cells were treated with IAG933 alone or in combination with GemCis or RMC-6236. Cell viability assays were used to determine IC50 values and calculate combination index (CI). TEAD activity was assessed by luciferase reporter and qRT-PCR of YAP/TAZ target genes (CTGF, CYR61, NUAK2). In vivo efficacy was evaluated in syngeneic orthotopic and patient-derived xenograft (PDX) models. Results IAG933 suppressed TEAD-dependent transcription (IC50≈500 nM) and downregulated YAP/TAZ target genes. Combination with GemCis or RMC-6236 produced synergistic effects (CI < 1) in all CCA lines. In vivo, IAG933 monotherapy suppressed tumor growth similarly to GemCis. Dual TEAD and KRAS inhibition achieved marked tumor regression and significantly delayed tumor regrowth after treatment cessation in KRAS-mutant PDX models. Conclusion IAG933 effectively suppresses YAP/TAZ–TEAD signaling and inhibits CCA growth. While the combination with GemCis showed limited additional benefit due to strong single-agent efficacy, synergy with RMC-6236 produced durable antitumor effects, particularly in run-out studies, delaying regrowth in KRAS-mutant models. These findings highlight IAG933 as a promising therapeutic candidate targeting the Hippo–TEAD pathway, with potential benefit in KRAS-mutant CCA.

Abstract Background Cholangiocarcinoma (CCA) is a deadly cancer of the hepatic bile duct epithelial cells. Loss-of-function mutations of epigenetic regulator ubiquitin C-terminal hydrolase deubiquitinase BRCA1associated protein 1 (BAP1) occur in 26-32% of human CCA and are associated with worse prognosis and resistance to cytotoxic therapy. The goal of this study is to identify how BAP1 loss promotes cell death evasion through metabolic rewiring. Materials and methods Isogenic wild-type and BAP1-deficient human and murine CCA cell lines were generated with shRNA/siRNA or CRISPR/Cas9 and were used to assess ferroptosis sensitivity by treatment with ferroptosis inducers. In vitro, ferroptosis was assessed by phospholipid peroxidation (C-11BODIPY), mitochondrial phospholipid peroxidation (MitoPeDPP, MitoCLox), iron overload (MitoFerro green) and cell death (CellTiter-Glo). Phospholipidomics and proteomics were performed in isogenic cells by LC-MS/MS. Syngeneic liver orthotopic CCA murine models and patient-derived xenografts (PDX) were used for in vivo pre-clinical studies. Results Our findings indicate that BAP1 loss confers CCA ferroptosis resistance. BAP1 loss protects CCA against mitochondrial iron overload, ROS accumulation, and phospholipid peroxidation. BAP1 loss protects from mitochondrial phospholipid peroxidation and cardiolipin oxidation. Unbiased phospholipidomic profiling revealed that BAP1 loss remodels membrane phospholipid composition, enriching for ferroptosis blocking monounsaturated phospholipids (MUFA-PLs) at the expense of ferroptosis-inducing polyunsaturated (PUFA-PLs). We found that BAP1 loss upregulates TLCD1, a phosphatidylethanolamine acyltransferase that incorporates MUFAs into membrane phospholipids, thereby stabilizing membranes against peroxidation. TLCD1 knockdown in ferroptosis-resistant BAP1-deficient CCA cells, restored ferroptosis sensitivity. Notably, TLCD1 is significantly upregulated in human BAP1-mutant CCA as compared to BAP1-expressing tumors. While not a mitochondrial protein, TLCD1 localizes in the ER and by the mitochondrial outer membrane, as demonstrated by our immunofluorescence analysis in human CCA cells. From a therapeutic perspective, we developed EpCAM (adhesion molecule highly expressed in CCA cells)-aptamer coated lactosomes packaged with siRNA against glutathione peroxidase 4 (GPX4), as a proof-of-concept strategy to safely induce ferroptosis selectively in CCA in vitro and in vivo. Administration of siGPX4-lactosomes in pre-clinical syngeneic liver orthotopic CCA murine models demonstrated a favorable safety profile, achieved robust intratumoral GPX4 knockdown (>50%), exhibited optimal biodistribution, induced significant tumor lipid peroxidation, and resulted in reduced tumor burden. Lastly, ferroptosis inducer JKE-1674, combined with gemcitabine/cisplatin (Gem/Cis) significantly blocked tumor growth of Gem/Cis-resistant patient-derived xenografts. Conclusions Our findings reveal that BAP1 loss reprograms mitochondrial phospholipid metabolism thus conferring CCA resistance to ferroptosis, identifying TLCD1 as a targetable metabolic vulnerability in BAP1-mutant CCA. Additionally, our findings support ferroptosis inducing compounds as promising therapeutic approaches for CCA.

Abstract Background SWI/SNF chromatin remodeling complexes are frequently mutated across human cancers, including biliary tract cancers (BTC). Within the SWI/SNF complexes, loss-of-function (LOF) mutations in ARID1A and PBRM1 are the most common and frequently co-occur alongside PI3K/AKT pathway activation. Yet, how those mutations affect the intracellular signaling landscape and transcriptomic programs is underexplored and may yield novel therapeutic opportunities. Methods Clinicodemographic parameters and mutation profiles of 250 patients with BTC were retrospectively collected through electronic medical records. Advanced overall survival (OS) was assessed in a multivariable analysis. Transcriptomic data were obtained and differentially expressed genes (DEGs) and pathways associated with SWI/SNF mutation status were analyzed. Changes in the transcriptomic landscape were compared to a murine syngeneic model of intrahepatic cholangiocarcinoma (CCA) initiated by loss of ARID1A and/or PBRM1 for cross-species validation. Results After adjusting for age, sex, and anatomical subtype, patients with SWI/SNF LOF mutations were found to have a 30% reduction in mortality risk (HR = 0.70, 95% CI: 0.50-0.98, p = 0.037). The transcriptomic cohort of 233 BTC patients included 71 (30%) with SWI/SNF LOF mutations, 21 (9%) with variants of uncertain significance, and 141 (61%) with SWI/SNF wild-type tumors. Differential gene expression and pathway analysis revealed changes in adaptive immune response, extracellular matrix, and cancer-associated proteoglycans. RNA-sequencing of murine tumors revealed the dominant effect of ARID1A loss in single and double knock-out tumors and conserved pathway alterations between mouse and human tumors. Conclusion Both murine and human primary tumors with either ARID1A alone or ARID1A/PBRM1 co-mutations exhibited altered expression of critical genes and pathways associated with proteoglycan synthesis and extracellular matrix. Ongoing research is investigating how CCA cells depend on those pathways and their canonical regulators for tumor formation and progression.

Abstract Background & Objectives Patients with cholangiocarcinoma (CCA) commonly progress within months on first-line gemcitabine/cisplatin–based therapy with immune checkpoint inhibition (ICI), consistent with the emergence of treatment-induced adaptive resistance. Cellular senescence and its secretory program (senescence-associated secretory phenotype, SASP) can remodel the tumor immune microenvironment. We hypothesized that gemcitabine/cisplatin induces tumor-cell senescence that promotes immunosuppression and progression and prioritized SASP mediators that are mechanistically linked to this phenotype. Method We quantified senescence and lineage markers in chemotherapy-naïve (n = 18) and gemcitabine/cisplatin treated (n = 23) human cholangiocarcinoma specimens and analyzed single-nucleus RNA sequencing in 9 human CCA tumors. In murine orthotopic CCA models, senescent tumor cells were ablated using p16 or p21 promoter restricted inducible apoptosis (ATTAC), followed by immune profiling by flow cytometry in endpoint cohorts, or tested alone and in combination with gemcitabine/cisplatin-based therapy and immune checkpoint inhibition (ICI) for survival cohorts. Conditioned media from proliferating versus senescent tumor cells were applied to bone marrow-derived macrophages (BMDMs) to assess polarization and suppression on CD8+ T-cell proliferation. SASP candidates were screened by cytokine arrays and Growth/Differentiation Factor 15 (GDF-15) was validated by expression and genetic perturbation. Results Senescent cells were enriched in the tumor compartment in human cholangiocarcinoma and increased after chemotherapy, as assessed by p16, p21and telomere-associated DNA foci (TAF). In mice, ablation of p16+ or p21+ senescent tumor cells reduced tumor burden, prolonged survival, and improved response to gemcitabine/cisplatin-based regimens. Chemotherapy-induced senescence increased immunosuppressive tumor-associated macrophages (TAMs), an effect reversed by senescent tumor cell ablation. Mechanically, GDF-15 was the top enriched secreted factor from senescent human CCA cells, tracked with senescence associated transcriptional programs, and decreased after senescent tumor cell ablation. GDF-15 promoted immunosuppressive macrophage phenotype switching and macrophage-mediated suppression on CD8+ T cell proliferation. In comparison, senescence-restricted GDF-15 knockdown reduced tumor growth and macrophage-mediated immunosuppression. Conclusion Chemotherapy-induced tumor cell senescence promotes an immunosuppressive microenvironment through GDF-15 linked macrophage remodeling. Targeting senescent tumor cells or intercepting senescence associated GDF-15 signaling may improve response to first-line therapy in CCA.

Abstract Background & Objectives Cholangiocarcinoma (CCA) is a highly aggressive malignancy arising from the bile duct epithelium. Despite advancements in diagnostic techniques, the diagnosis of cholangiocarcinoma (CCA) remains challenging. Currently, CA19-9 is the best available blood-based marker for detection of CCA, which has a sensitivity of 50-60% and a specificity of 80%. Moreover, individuals who are Lewis-antigen-negative (∼20% in some populations) have undetectable CA 19–9 levels resulting in false negative diagnoses. Therefore, there is a critical need for developing novel blood-based diagnostic approach for improving the sensitivity of diagnosis of CCA to improve clinical outcomes. Glycosylation, one of the most prevalent post-translational modifications, plays a crucial role in regulating biological functions such as cell-cell communication, protein folding and receptor signaling and is frequently dysregulated in cancer. Cell surface proteins, including glycoproteins, are overexpressed in CCA are likely to be shed into the blood and we investigated development of mass spectrometry-based methods to measure changes in glycosylation in patients with CCA. Methods Mass spectrometry data were acquired in parallel reaction monitoring mode using Orbitrap Eclipse Tribrid mass spectrometers. In addition, we tested the use of heavy glycopeptides for absolute quantitation of each glycopeptide. Mass spectrometry data were analyzed using Skyline to estimate glycopeptide abundance. Results First, we performed tandem mass tag-based quantitative proteomics and glycoproteomics of tumor tissues and serum collected from CCA patients using high-resolution mass spectrometry. From these experiments, a number of glycopeptides were found to be increased in abundance in CCA patients. We subsequently developed a targeted mass spectrometry–based assay to monitor four candidate glycopeptides derived from polymeric immunoglobulin receptor and aminopeptidase N to validate their performance in a large patient cohort from 269 patients with CCA and 100 healthy individuals. Conclusion We anticipate that this finding will lay the foundation for novel diagnostics that could benefit patients with this aggressive malignancy.

Abstract Background & Objectives Cholangiocarcinoma (CCA) is a rare and aggressive malignancy of the bile ducts characterized by complex imaging patterns, high inter-reader variability, and limited subspecialty expertise. Despite the critical importance of early detection for improving patient outcomes, most artificial intelligence (AI) tools developed for radiology have focused on other organ systems, leaving CCA largely underserved. Furthermore, clinicians with relevant domain expertise frequently lack the programming background required to participate meaningfully in AI development. This work aimed to create an accessible, educational AI framework “AI Starter” designed to empower radiologists and clinicians to initiate medical image analysis projects for CCA without requiring extensive coding knowledge. Methods A structured, end-to-end AI pipeline was introduced covering the key stages of image acquisition, preprocessing, segmentation, feature extraction, and predictive modeling. Open-source frameworks, specifically MONAI and PyTorch, were employed to ensure reproducibility and accessibility. Transfer learning strategies were incorporated to address the challenge of limited CCA-specific training datasets. The pipeline was designed with modular components to reduce technical barriers and accommodate users across varying levels of computational experience. Results Radiologists and clinicians were able to successfully engage with and deploy AI tools for CCA imaging analysis using this framework. Transfer learning demonstrably improved model performance under data-limited conditions, and the open-source implementation supported reproducible research workflows. Key challenges identified included scanner variability, segmentation instability, feature instability, and model overfitting, all of which were transparently mapped within the pipeline. Conclusion The AI Starter framework offers a practical and educational entry point for the CCA community including basic scientists and clinicians to meaningfully engage with and understand AI-driven imaging analysis.

Background: A diagnosis of cancer creates a stressful situation owing to the uncertainties related to the thought of possible suffering from complications associated with treatment toxicities, the fear of not responding to the prescribed treatment, or death. The prevalence of mental health disorders is relatively higher in cancer patients vis-à-vis the general population. Methods: We performed a retrospective cohort study to evaluate the impact of mental health disorders on outcomes of relapsed and/or refractory diffuse large B-cell lymphoma (DLBCL) treated with chimeric antigen receptor T-cell (CAR T-cell) therapy using data from the TriNetX research network. Results: A total of 1587 patients met the inclusion criteria (858 with a mental health diagnosis and 729 without). After propensity score matching for age and gender, 1320 patients were included in the analysis (660 in each group). The 1-year OS was higher in patients without a mental health disorder (76.0% versus 69.4%, P = 0.004). Patients with mental health disorders had a higher incidence of cytokine release syndrome (all grades) compared with those without (35.5% versus 27.6%, P < 0.001) and immune effector cell-associated neurotoxicity syndrome (all grades) (16.8% versus 10.1%, P < 0.001). Conclusions: These findings emphasize the importance of thorough psychiatric evaluation and management in patients receiving CAR T-cell therapy. Patients with mental health disorders may need significant assistance with coordinating medical services to better adhere to required care management. Future studies are needed to help determine whether preventive and real-time mental health interventions can favorably impact outcomes of these patients.

Abstract Paruresis (shy bladder syndrome) is difficulty voiding in public or shared restrooms because of the actual or anticipated presence of others, affecting 2.8% to 6.6% of the general population. Although 59% of transgender persons avoid public restrooms, often for reasons distinct from paruresis, to our knowledge its assessment and treatment in this population remain undocumented. A 53-year-old transgender woman with Klinefelter syndrome (47,XXY) and paruresis since age 5 was referred for treatment. Over the first 14 visits (about 9 months), she received a cognitive-behavioral, schema-informed, and minority-stress-informed protocol integrating psychoeducation, imagery rescripting, cognitive restructuring, breath-holding, and graduated in vivo exposure with paradoxical intention, then supportive psychotherapy. On the Shy Bladder Scale (SBS), she achieved reliable and clinically significant change by Visit 8 (43 to 31, meeting a clinician-defined goal of ≤ 33; RCI = 3.60, p < .05) and her SBS decreased to 8 by Visit 24 in a supportive phase; the reliable-change statistic being defensible only over short intervals, later changes are described by clinical-range and goal status. At 10-year follow-up, the SBS was 18, still below the treatment goal, with minimal depressive and mild anxiety symptoms and improved well-being (PHQ-9 = 4; GAD-7 = 6; WHO-5 = 80%).