Citations

Abstract Background: Targeted agents, such as nanobodies, can be covalently linked to radionuclide chelators for theranostics. Nanobodies are single-domain immunoglobulin variable regions with a short blood half-lives and high specificity. Calreticulin (CALR) is endoplasmic reticular (ER) protein that translocates to the cell surface upon induction with certain agents, namely doxorubicin. We hypothesized surface CALR on tumors could be targeted using a novel nanobody after induction with doxorubicin. Methods: Studies were conducted using in vitro and in vivo models of pancreatic ductal adenocarcinoma (PDAC). Surface CALR expression was determined by western blot on fractionated lysates, flow cytometry, or immunofluorescence (IF). Doxorubicin was administered by intraperitoneal injection to mouse models of PDAC. The anti-CALR nanobody was developed via the panning of a synthetic nanobody phage display library. The top CALR-binding nanobody was confirmed by ELISA, immunohistochemistry (IHC), and flow cytometry. For in vivo studies, the nanobody was conjugated with the chelator NOTA and radiolabeled with 64Cu. PET images were acquired 1-hour after injection. Significance was determined using an independent t-test and p values < 0.05 were considered statistically significant. Results: PDAC cells treated with doxorubicin showed peak surface CALR expression between 24 and 48 hours. Flow cytometry revealed that 61.7% of live PDAC cultured cells treated for 24 hours expressed surface CALR, compared to 2.2% in controls (p < 0.001). In a subcutaneous syngeneic PDAC mouse model, two doses of doxorubicin 48 hours apart significantly increased surface CALR, with 30.4% of live-cells expressing CALR in treated tumors versus 1.5% in controls (p < 0.001). Similarly, doxorubicin-treated tumors from a PDAC patient derived xenograft (PDX) model had a 6.7-fold increase in live-cells expressing surface CALR compared to controls (p < 0.01). IF confirmed a 1.4-fold increase in CALR expression in doxorubicin-treated tumors from the subcutaneous PDAC mouse model (p < 0.01) and a 1.7-fold increase in the PDAC PDX model (p < 0.01). Our anti-CALR nanobody has an apparent 37 nM affinity for recombinant CALR and successfully detected surface CALR by IHC and flow cytometry. In vivo PET imaging showed significant increased uptake of the 64Cu-NOTA-nanobody in tumors from doxorubicin-treated mice over controls, with no significant changes in heart, kidney, or liver accumulation by PET quantification and flow cytometry (p < 0.05). Conclusions: Systemic doxorubicin treatment induces CALR surface translocation in tumors that can be successfully targeted with a radiolabeled nanobody for PET imaging. Targeting chemotherapy-induced surface CALR using our radiolabeled nanobody could provide a theragnostic strategy for the detection and treatment of PDAC. Citation Format: Rachael Guenter, Yuvasri Golivi, Lucinda Hall, Amro Abdelrahman, Chloe La Prairie, Caleb Miller, Tejeshwar C. Rao, Danielle M. Carlson, Mark J. Truty, Benjamin Larimer, J. Bart Rose. Detection of tumor cell surface calreticulin after doxorubicin treatment using a novel radiolabeled nanobody [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 574.

Abstract Background: Cholangiocarcinoma (CCA) is a diverse type of cancer. For several years, platinum-based chemotherapy (Gemcitabine and Cisplatin) has been the standard treatment and serves as the foundation for current immunotherapy combinations. The typical response rates are generally between 20% and 30%. In this study, we present the results of preclinical efficacy trials conducted on CCA patient-derived xenograft (PDX) models, correlating them with the baseline multiomics profiling of these models to identify molecular characteristics linked to treatment response. Methods: Tumor samples from twenty-eight CCA PDX were used to isolate RNA and protein to be included in multiomics analysis (Phosphoproteomics, Proteomics, and Transcriptomics). A subset of PDX models were treated with various doses of Gemcitabine and Cisplatin. The Median Efficacy Index (MEI) was calculated as the ratio of the difference in median of delta in tumor volume at the last day of the study between the treatment and the control arms divided by the median of delta in tumor volume of the control at the last day of the treatment (positive= growth, negative=inhibition, and 0=no efficacy). A Hierarchical All-Against-All algorithm was utilized to compare multiomics features to the MEI and pathway analysis completed for identified molecular features. Pathway enrichment was calculated using the KEGG database, and random-forest variable selection chose the pathways most influential in predicting sensitivity or resistance. Results: After conducting preclinical efficacy trials, the 11 tested CCA PDX models were classified into sensitive, moderately sensitive, and resistant models based on the MEI on each treatment arm. The top up-regulated genes were identified for Gemcitabine response (SRPK2, GLK2, and RIOK2) and Cisplatin response (NTRK1, PRPF4B, and SRPK2). The top up-regulated genes related to Gemcitabine resistance were NTRK1, PIP5K1C, and CSNK2A2, while those related to Cisplatin resistance were SRPK1, PRPF4B, and CSNK2A1. Downregulation of the anti-folate resistance pathway is a strong predictor of gemcitabine sensitivity, and the lysine degradation pathway is a strong predictor of cisplatin sensitivity. Conclusion: Multiomics signatures of cholangiocarcinoma can forecast responses to standard chemotherapy in preclinical models. New markers of resistance to Gemcitabine and Cisplatin were discovered, linked to NTRK1, SRPK1, and SRPK2. These resistance profiles will be tested using suitable targeted therapies on the resistant CCA patient-derived xenograft (PDX) models. Citation Format: Amro M. Abdelrahman, Danielle M. Carlson, Ellen L. Larson, Erik Jessen, Dong-Gi Mun, Isaac Lynch, Alessandro Fogliati, Stella Konadu Adjei Antwi, Aushinie Abeynayake, Akhilesh Pandey, Mark J. Truty, Gregory J. Gores, Rory L. Smoot. Baseline multiomics and chemotherapy efficacy in preclinical trials using patient-derived xenograft models of cholangiocarcinoma can reveal distinct signatures of chemotherapy response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6762.

Abstract Introduction: Cholangiocarcinoma (CCA) is an aggressive biliary malignancy with poor survival outcomes and multiple mechanisms of resistance to targeted therapies. We previously validated NXP800, a novel GCN2 small-molecule activator, as an effective anti-cancer drug in six CCA cell lines. In vitro testing identified upregulation of phosphorylated eIF2a, as well as upregulation of ATF4, in CCA cells treated with of NXP800 compared to vehicle, suggesting that treated cells led to stimulation of stress-induced genes and subsequently, apoptosis. Furthermore, patient derived xenografts (PDX) models treated with NXP800 were found to have decreased tumor size, particularly in models containing ARID1A, FGFR1, and ATM mutations. Here, we aimed to predict response to NXP800 using sensitivity and resistance signatures from our profiled PDX models. Methods: GCN2 activation in multiple previously profiled PDX models was evaluated. Whole Exome Sequencing (WES) was done on multiple PDX models to characterize the mutational signature and activity in CCA. Two additional CCA xenografts were expanded into the flank of NOD/SCID mice. Tumor bearing mice were treated with NXP800 (35 mg/kg) or vehicle via oral gavage for 28 days once tumors averaged 120 mm3. Tumor volume and animal weight were collected twice weekly. Median Efficacy Index (MEI) scores were generated as drug response rates based on tumor growth. Predicted sensitivity and resistance kinase signatures to predict drug response were produced using multi-omics. Results: Treatment with NXP800 was associated with a statistically significant decrease in tumor size in two additional PDX models, which included ARID1A and BRAF mutants. Preliminary multi-omics on the PDX models revealed that sensitivity mechanisms were upregulated most in EGFR signaling, while resistance signatures were focused around CSNK2A1 signaling. Conclusion: Multi-omics analysis revealed a sensitivity mechanism structured around EGFR signaling, providing insights into which patients should be selected for treatment with NXP800. A Phase 1b clinical trial investigating the effects of NXP800 use in patients with advanced CCA is open and currently accepting patients. Citation Format: Danielle Marie Carlson, Hendrien Kuipers, Amro Abdelrahman, Erik Jessen, Joshua Roldan Kalill, Jennifer Tomlinson, Jack Sample, Akhilesh Pandey, Mark Truty, Rory Smoot. Modeling response prediction to a novel GCN2 kinase activator (NXP800) in patient-derived xenograft cholangiocarcinoma models using a multi-omics approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5592.

Abstract Introduction: Src Family Kinases (SFKs) have a crucial role in tumor proliferation, survival, and metastasis. NXP900 is a highly selective SFK inhibitor a novel mechanism of action that locks SFKs in a closed, inhibited conformation, preventing interaction with substrate proteins, unlike other SFK inhibitors like dasatinib. A phase 1 study of NXP900 in patients with advanced solid tumors was recently initiated. Our preclinical studies showed therapeutic efficacy of NXP900 in cholangiocarcinoma (CCA) through decreased YAP, RAF-MAP and PI3K-AKT signaling. Here, we examined mechanisms of sensitivity and resistance to SFK inhibition. Methods: Secondary resistance was explored by generating a NXP900-resistant human cell line (HuCCT1-R) via prolonged exposure to NXP900, followed by multiomic profiling. Primary resistance was studied in vivo using nine heterogeneous patient-derived xenograft (PDX) tumors implanted in the flanks of NOD/SCID mice. Tumor-bearing mice were treated with vehicle or 40 mg/kg NXP900 daily for up to 4 weeks. To identify factors associated with response, a multiomic approach was used, integrating RNA-Seq, global proteomics, and phosphoproteomics. A hierarchical-all-against-all algorithm (HallA) assessed associations between multiomic features and drug response in tumor growth. Kinase enrichment analysis (KEA3) identified features linked to sensitivity or resistance. Results: HuCCT1-R cells showed increased pTyr abundancy of TNK2, a protein known to increase PIP3 levels leading to AKT activation, and of DYRK3 and LAMTOR1, both of which can sustain AKT phosphorylation via mTORC, indicating acquired resistance through bypassing inhibited PI3K-AKT signaling to rescue AKT. NXP900 reduced tumor growth rates in 5 of 9 PDX models. Kinases associated with sensitivity in the PDX models included SFKs (SRC, LYN, and FYN), and AKT, PTK2, PRKCZ, EGFR, SYK, and GSK3B, suggesting involvement of the PI3K-AKT pathway in responsiveness to NXP900. Based on tumor inhibition responses in the tested models, we estimated NXP900 response for our additional PDX models, predicting 39% (11/28) of patient tumors may respond. Conclusion: This study identified molecular markers linked to response to SFK inhibition, which could be utilized for patient selection for NXP900 treatment. Further studies are validating these findings and exploring combination therapies to address resistance mechanisms. Citation Format: Hendrien Kuipers, Danielle M. Carlson, Jack W. Sample, Erik Jessen, Dong-Gi Mun, Aushinie M. Abeynayake, Jennifer L. Tomlinson, Amro M. Abdelrahman, Nathan W. Werneburg, Binbin Li, Mitesh J. Borad, Mark J. Truty, Sumera I. Ilyas, Gregory J. Gores, Rory L. Smoot. Multiomic profiling identified biomarkers of response to selective Src family kinase inhibition in preclinical models of cholangiocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5595.

Background and Aims: Cholangiocarcinoma (CCA) is an aggressive malignancy arising from the biliary epithelium with limited therapeutic options and poor long-term survival rates. To address the limitations of CCA treatment, we investigated cell-targeted nanovesicles as a delivery platform for transcriptome-targeting therapeutics. Approach and Results: Milk-derived nanovesicles were loaded with short interfering RNAs targeting Yes-associated protein (YAP), the downstream effector of the Hippo pathway; LCK, an upstream regulator of YAP; and tafazzin, a protein critical for the integrity of the inner mitochondrial membrane. These transcriptome-targeting nanovesicles were decorated with a lipid-coupled RNA aptamer to epithelial cell adhesion molecule, including a tracking fluorophore. In vitro studies were conducted using multiple CCA cell lines. In vivo studies were performed using C57BL/6 and non-obese diabetic/severe combined immunodeficient mice to evaluate delivery and efficacy in both an immunocompetent syngeneic murine and a patient-derived xenograft model. We demonstrated that transcriptome-targeting nanovesicles were selectively taken up by liver tumor cells, which was augmented by the incorporation of a targeting aptamer, and that milk-derived nanovesicles loaded with short interfering RNA effectively downregulated target gene expression, both in vitro and in vivo. Downstream effects of target gene inhibition were observed, including downregulation of YAP-TEAD target genes and an increase in reactive oxygen species production at the mitochondrial level. Administration of transcriptome-targeting nanovesicles targeting YAP, LCK, and tafazzin inhibited CCA growth and further synergized with chemotherapy in 2 preclinical CCA models. Conclusions: Herein, we show that aptamer-directed, nanovesicle-mediated targeting of YAP, LCK, and tafazzin potentiates chemosensitivity in 2 CCA models when delivered using aptamer-guided milk-derived nanovesicles.

Background Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer with a 5-year survival rate of 12%. It has two major molecular subtypes: classical and basal, regulated by the master transcription factors (MTFs) GATA6 and ΔNp63, respectively. Objective This study sought to uncover the transcriptional regulatory mechanisms controlling PDAC subtype identity. Design We integrated primary tumour single-cell RNA-seq, patient-derived xenograft RNA-seq and multispectral imaging to identify MTF-dependent, subtype-specific markers. We created subtype-specific fluorescent reporter systems and conducted drug screenings to find actionable targets. We analysed chromatin accessibility (ATAC-seq), genome-wide occupancy (ChIP-seq) for epigenetic status (H3K27ac), MTFs (GATA6, ΔNp63), RNA polymerase II (Pol II), H3K4me3-anchored chromatin topology (HiChIP) and nascent RNA capture sequencing (PRO-seq). Additionally, we used nuclease-dead Cas9 (dCas9) to manipulate transcriptional regulatory mechanisms. Results Our approach identified glucocorticoid receptor (GR) agonists as agents that suppress the classical transcriptional programme by interacting with GATA6. GATA6 regulates classical-specific transcription through promoter-proximal pause release. Depletion of GATA6 increased Pol II occupancy at GATA6-bound enhancers and transcriptional start sites, stabilising enhancer–promoter interactions. Artificially inducing pausing at GATA6-bound enhancers with dCas9 abrogated target gene expression and induced pausing at both the enhancer and target gene promoter. Conversely, in basal PDAC ΔNp63 promotes Pol II recruitment and stabilises enhancer–promoter interactions. Conclusion This study provides new insights into the transcriptional control and role of GR agonists in controlling PDAC molecular subtype identity.

Cholangiocarcinoma (CCA) is a highly aggressive form of liver cancer and is an increasing cause of cancer‐related death worldwide. Despite its increasing incidence globally and alarming mortality, treatment options for CCA have largely remained unchanged, stressing the importance of developing new effective therapies. YAP activation is common in CCA, and its major transcriptional signaling partners are the TEAD proteins. CA3 is a small‐molecule YAP‐TEAD disrupter discovered utilizing a TEAD reporter assay. Utilizing CCA, gastric cancer cell lines, and patient‐derived xenograft models (PDX), we demonstrate that CA3 is effective in inducing cell death and delaying tumor growth in both FGFR2 fusion and wild‐type models. CA3 was associated with on‐target decreases in YAP‐TEAD target gene expression, TEAD reporter activity, and overall TEAD levels. Hippo pathway signaling was not altered as there was no change in YAP phosphorylation status in the cells exposed to CA3. RNA sequencing of gastric cancer and CCA models demonstrated upregulation of an androgen receptor–mediated transcriptional program following exposure to CA3 in five unique models tested. Consistent with this upstream regulator analysis, CA3 exposure in CCA cells was associated with increased AR protein levels, and combinatorial therapy with CA3 and androgen receptor blockade was associated with increased cancer cell death. CA3 behaves functionally as a YAP‐TEAD disrupter in the models tested and demonstrated therapeutic efficacy. Exposure to CA3 was associated with compensatory androgen receptor signaling and dual inhibition improved the therapeutic effect.

Abstract Background: Cholangiocarcinoma (CCA) is a lethal and heterogenous malignancy of the biliary tree characterized by perineural invasion. About 85% of CCA show activation of YAP signaling, which promotes proliferation, anti-apoptosis, and therapeutic resistance. YAP signaling is mediated by Src family kinases (SFK) by phosphorylation of YAP (pYAPy357). NXP900 is a first-in-class, highly selective, SFK inhibitor with a novel mechanism of action which locks SFK in its closed and inhibited conformation, in contrast to other Src inhibitors such as dasatinib. A phase 1a study of NXP900 in patients with advanced solid tumors was recently initiated. Here, we examined treatment responses of CCA to NXP900 in vitro and in vivo. Methods: Cell viability was determined in seven CCA cell lines by CellTiter-Glo. Cell death and apoptosis were assayed by PI/Hoechst and Caspase-Glo 3/7 assay. CalcuSyn software was used to determine synergistic drug effects. Immunoblot analysis, RT-PCR, and IF staining of YAP localization were used to evaluate YAP knockdown. Clones of human CCA cell lines resistant to NXP900 were generated through escalating exposure to NXP900 over 6 months. Five patient-derived xenograft (PDX) tumors were expanded into flanks of NOD/SCID mice. Tumor bearing mice were randomized 1:1 with 5 mice per arm and treated with vehicle or NXP900 (40 mg/kg) once daily for up to 4 weeks. To determine drivers of sensitivity and resistance, predicted sensitivity scores based on tumor growth were linked to multi-omics (RNA seq and [phospho-]proteomics) of our PDX models. Results: All cell lines were sensitive to NXP900 with IC50 values between 7nM-15µM; IC50’s of resistant clones were 1000 times higher. NXP900 induced more cell death compared to vehicle, which appeared to be through apoptosis. NXP900 inhibited pSrc, decreased pYAPy357, and upregulated inactive pYAPs127. Correspondingly, decreased YAP target gene (Cyr61, NUAK, and CTGF) levels and a nuclear-to-cytoplasmic translocation were observed. NXP900/GemCis combination therapy increased cell death demonstrated a synergistic effect (Combination Indices <1) at all concentrations. In our PDX models, treatment was associated with a significant decrease in tumor growth in 3 models (mean fold change 3.1 vs. 14.2; 1.0 vs. 7.6; 1.4 vs. 2.6). The major resistant signature was the TRK signaling network, involved in nerve growth factor binding activity, while drivers of sensitivity included the SRC network. Conclusion: NXP900 demonstrated therapeutic activity in vitro and in human PDX models. We are currently performing multi-omic approaches in NXP900 sensitive and resistant cell lines to unravel determinants of activity and resistance. Additional in vivo studies will be performed to determine effects of NXP900/GemCis and NXP900/anti-PDL-1 combination therapy. Citation Format: Hendrien Kuipers, Jennifer L. Tomlinson, Danielle M. Carlson, Amro M. Abdelrahman, Erik Jessen, Jack W. Sample, Nathan W. Werneburg, Hannah E. Stumpf, Mark J. Truty, Sumera I. Ilyas, Gregory J. Gores, Rory L. Smoot. Src family kinase inhibition demonstrates antitumor activity in vitro and in patient-derived xenograft models of human cholangiocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 614.

Abstract Introduction Cholangiocarcinoma (CCA) is a highly lethal, heterogenous biliary malignancy. Despite the development of targeted therapies, treatment success has been hindered by primary or acquired resistance. New therapeutic strategies are necessary to improve outcomes in these patients. NXP800 is a GCN2 small-molecule activator that phosphorylates eIF2a inducing selective ATF4 transcription which stimulates stress-induced genes leading to apoptosis. NXP800 has been previously validated in ovarian cancers with ARID1A mutations, well-known players in cholangiocarcinoma. We sought to determine the treatment efficacy of novel NXP800 in CCA utilizing patient derived xenograft (PDX) preclinical models. Methods In our preliminary studies, four human and two murine CCA cell lines were tested for cell viability using CellTiter-Glo to determine the maximal inhibitory concentration (IC50). Immunoblot analysis of HuCCT-1 cells incubated with 1 mM of NXP800 for 6 hours vs. vehicle was performed. We also evaluated response to GCN2 activation in multiple RNA sequenced PDX models. Xenografts were expanded into the flank of NOD/SCID mice and treatment begun when tumors averaged 120mm3. Tumor bearing mice were treated with NXP800 (35 mg/kg) or vehicle via oral gavage five days on, two days off, for 28 days. Tumor volume and animal weight were collected twice weekly. Predicted sensitive signatures were determined using multi-omics. Results IC50 dose response curves showed nanomolar activity in all six cell lines, ranging from 5-170 nM. Immunoblotting demonstrated an upregulation of phosphorylated eIF2a and in turn upregulation of ATF4 with treatment of NXP800 compared to vehicle. Five PDX tumors from patients with intrahepatic or distal CCA was established and validated by histologic analysis. Molecular characterization of the tumor identified tumor mutation and a total tumor mutational burden. RNA sequencing was completed and identified 21-gene signatures related to YAP activity, which were cross-referenced against our existing PDX model tumor bank. Treatment with NXP800 was associated with a statistically significant decrease in tumor size in three of five PDX models tested, which included an ARID1A, FGFR1, and ATM mutants. Preliminary multi-omics on the PDX models revealed that sensitivity mechanisms were centered around EGFR signaling. Conclusion The novel GCN2 kinase activator, NXP800, has nanomolar efficacy in both human and murine CCA cell lines in vitro. Additionally, NXP800 demonstrated therapeutic activity in multiple cholangiocarcinoma PDX models in vivo. We are opening a Phase 1b clinical trial investigating the effects of NXP800 use in patients with advanced CCA. Future studies determining the cellular effect of GCN2 activation utilizing NXP800 are being conducted. Citation Format: Danielle Marie Carlson, Hendrien Kuipers, Amro Abdelrahman, Erik Jessen, Joshua Roldan Kalil, Jack Sample, Jennifer Tomlinson, Mark Truty, Rory Smoot. A novel GCN2 kinase activator demonstrates therapeutic efficacy in preclinical PDX models of human cholangiocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2098.

Abstract Background Cholangiocarcinoma (CCA) is a heterogeneous malignancy. Platinum-based chemotherapy (Gemcitabine and Cisplatin) has been the standard treatment for over a decade and is the base for the current immunotherapy combinations. Response rates are typically between 20-30%. Herein, we present outcomes of preclinical efficacy trials on CCA PDX models in correlation with baseline multiomics profiling of CCA patient-derived xenograft (PDX) models to identify molecular features associated with response. Methods Tumor samples from twenty-eight CCA PDX were used to isolate RNA and protein to be included in multiomics analysis (Phosphoproteomics, Proteomics, and Transcriptomics). A subset of PDX models were treated with various doses of Gemcitabine and Cisplatin. The Median Efficacy Index (MEI) was calculated as the ratio of the difference in median of delta in tumor volume at the last day of the study between the treatment and the control arms divided by the median of delta in tumor volume of the control at the last day of the treatment (positive= growth, negative=inhibition, and 0=no efficacy). A Hierarchical All-Against-All algorithm was utilized to compare multiomics features to the MEI and pathway analysis completed for identified molecular features. Results After conducting preclinical efficacy trials, the five tested CCA PDX models were classified into sensitive, moderately sensitive, and resistant models based on the MEI on each treatment arm. The top up-regulated genes were identified for Gemcitabine response (SRPK2, GLK2, and RIOK2) and Cisplatin response (NTRK1, PRPF4B, and SRPK2). The top up-regulated genes related to Gemcitabine resistance were NTRK1, PIP5K1C, and CSNK2A2, while those related to Cisplatin resistance were SRPK1, PRPF4B, and CSNK2A1. Conclusion Cholangiocarcinoma multiomics signatures can predict therapeutic response to standard-of-care chemotherapy in preclinical models. Novel mechanisms of Gemcitabine and Cisplatin resistance were identified related to NTRK1, SRPK1 and SRPK2. Resistant signatures will be challenged with the appropriate targeted therapies on the resistant CCA PDX models. Citation Format: Amro M. Abdelrahman, Danielle M. Carlson, Erik Jessen, Dong-Gi Mun, Isaac Lynch, Alessandro Fogliati, Stella Konadu Adjei Antwi, Aushinie Abeynayake, Akhilesh Pandey, Mark J. Truty, Gregory J. Gores, Rory L. Smoot. Pretreatment multiomics in conjunction with preclinical trials on patient-derived xenograft models of cholangiocarcinoma can identify chemotherapy response signatures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6912.