Mun, Dong‐Gi

Abstract Background: Cholangiocarcinoma (CCA) is a lethal disease with limited therapeutic options. We have previously discovered LCK driving signaling through AXL, a TAM receptor tyrosine kinase (RTK), by phosphoproteomic analysis of CCA (J Hepatol 2022). AXL mediates acquired drug resistance in solid cancers. However, the exact role of AXL in CCA still remains to be elucidated. Here, we investigated the significance of AXL expression as a potential therapeutic target in CCA and the role of phosphorylated AXL Y866. Methods: We first evaluated the expression levels of AXL in CCA and its associations with patient outcomes using The Cancer Genome Atlas (TCGA) database. Next, to evaluate whether AXL inhibition sensitizes CCA cells to gemcitabine and cisplatin (GemCis) therapy, AXL downregulation was achieved via the siRNA approach and the selective inhibitor bemcentinib. We examined the 50% inhibitory concentration (IC50) value of HuCCT1, a well-characterized CCA cell line, on GemCis therapy with or without AXL knockdown using cell viability assay. Then we assessed the efficacy of the combinatorial therapy of GemCis and bemcentinib utilizing Calcusyn software. Apoptosis was evaluated by Annexin V assay. In vivo efficacy was assessed using an SB-1 (murine CCA cell line) and a syngeneic murine model of CCA treated with vehicle, GemCis, bemcentinib, and the combination of GemCis and bemcentinib. Finally, to investigate the role of AXL Y866 in CCA, we performed BioID to identify and compare the interactomes of AXL WT and AXL Y866F in HuCCT1 cells. Results: In the TCGA cohorts, AXL is significantly expressed in CCA (P < 0.01), and disease-free survival and overall survival in the low AXL expression group are significantly longer than those in the high AXL expression group (P = 0.04, 0.01). In in vitro study, the IC50 value of GemCis was decreased from 685nM to 129nM after AXL knockdown. A synergistic effect was observed with CI = 0.17 and Fa = 0.50 in the combinatorial therapy. The combinatorial therapy caused significantly increased apoptosis compared to GemCis or bemcentinib alone (P < 0.01, P < 0.01). In in vivo study, the combinatorial therapy significantly suppressed the tumor growth compared to GemCis or bemcentinib alone (P = 0.04, 0.01), and the expression levels of Ki67 and the phosphorylation levels of PEAK1 decreased in the combinatorial therapy group compared to other groups in immunostaining examination. In BioID experiments, among the 222 proteins detected in both AXL WT and AXL Y866F interactomes, PEAK1 kinase, which localizes to actin cytoskeleton and focal adhesions, was the kinase most affected by AXL Y866. In gene ontology analysis to characterize the interactome of AXL Y866, cell-cell adhesion and focal adhesion-related proteins were enriched. Conclusions: AXL inhibition sensitizes CCA cells to cytotoxic chemotherapy in the preclinical model. AXL Y866-PEAK1 signaling axis is a potential target for the treatment of CCA. Citation Format: Shohei Takaichi, Dong-Gi Mun, Jennifer L. Tomlinson, Amro M. Abdelrahman, Danielle M. Carlson, Alaa Abou Daher, Nathan W. Werneburg, Xinyan Wu, Akhilesh Pandey, Gregory J. Gores, Rory L. Smoot. Axl inhibition sensitizes cholangiocarcinoma cells to cytotoxic chemotherapy. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4996.

Abstract A quadrupole time‐of‐flight mass spectrometer coupled with a trapped ion mobility spectrometry (timsTOF) operated in parallel accumulation‐serial fragmentation (PASEF) mode has recently emerged as a platform capable of providing four‐dimensional (4D) features comprising of elution time, collision cross section (CCS), mass‐to‐charge ratio, and intensity of peptides. The PASEF mode provides ∼100% ion sampling efficiency both in data‐dependent acquisition (DDA) and data‐independent acquisition (DIA) modes without sacrificing sensitivity. In addition, targeted measurements using PASEF integrated parallel reaction monitoring (PRM) mode have also been described. However, only limited number of studies have used timsTOF for analysis of clinical samples. Although Orbitrap mass spectrometers have been used for biomarker discovery from cerebrospinal fluid (CSF) in a variety of neurological diseases, these Orbitrap‐derived datasets cannot readily be applied for driving experiments on timsTOF mass spectrometers. We generated a catalog of peptides and proteins in human CSF in DDA mode on a timsTOF mass spectrometer and used these data to build a spectral library. This strategy allowed us to use elution times and ion mobility values from the spectral library to design PRM experiments for quantifying previously discovered biomarkers from CSF samples in Alzheimer's disease. When the same samples were analyzed using a DIA approach combined with a spectral library search, a higher number of proteins were identified than in a library‐free approach. Overall, we have established a spectral library of CSF as a resource and demonstrated its utility for PRM and DIA studies, which should facilitate studies of neurological disorders.

575 Background: Cholangiocarcinoma (CCA) is a lethal hepatobiliary adenocarcinoma with increasing incidence and poor outcomes. Treatment success has been hindered by resistance, and new therapeutic strategies are necessary. The Src-family tyrosine kinase, LCK, activates Yes-associated protein (YAP), a known oncogene in CCA. While YAP has been historically difficult to target, we recently described LCK inhibition as a potential therapeutic option in CCA. We probed the LCK interactome employing biotinylation site identification technology (BioSITe) to discover molecular co-dependencies in the LCK-YAP axis. Methods: LCK-deficient HuCCT1, wild-type HuCCT1, and wild-type RBE cells were transfected with pEF-LCK-TurboID and used to reveal protein-protein interactions. Biotinylated peptides were enriched using anti-biotin antibodies followed by mass spectrometry analysis. Co-immunoprecipitation (Co-IP) was used to confirm interactions between LCK and identified interactors. Phosphoproteome profiling of human CCA tumors and patient derived xenografts was conducted to identify active kinase signatures in CCA. Tyrosine phosphorylated peptides were enriched using anti-phosphotyrosine antibody beads and analyzed by high-resolution mass spectrometery/liquid chromatography. Immunoblot analysis of HuCCT1 and LCK-deficient HuCCT1 cells was used to map the mechanistic interaction between LCK and epidermal growth factor receptor, EGFR. Inhibitors of EGFR and LCK, afatinib and NTRC 0652-0, respectively, were tested in vitro on human and murine CCA cell lines. Cell viability was determined with CellTiter-Glo; Calcusyn software was used to determine synergistic drug effects. Results: We discovered intracellular interactors of LCK in CCA using BioSITe. We identified both known and novel LCK interactors, including EGFR. Given that EGFR functions as a molecular driver of tumorigenesis and is increasingly recognized as a biomarker of resistance in a variety of tumors, we performed a phosphoproteomic evaluation of CCA tumors in which activated EGFR was identified by the presence of EGFR-Y1092, Y1197, and Y1172 phosphorylation. EGFR phosphorylation decreased under conditions of genetic LCK knock out and inhibition by NTRC 0652-0. Co-IP confirmed the interaction of EGFR with LCK. EGFR-Y1092 phosphorylation was downregulated with genetic knockout of LCK by immunoblot. Finally, EGFR inhibition was evaluated as a therapeutic strategy utilizing afatinib. Effects on cell viability were noted in both human and murine CCA cells. Afatinib and NTRC 0652-0 demonstrated a synergistic effect in vitro, with calculated combination indices of 0.007 – 0.790. Conclusions: A novel interaction between EGFR and LCK in CCA was identified using an unbiased proximity-dependent biotinylation technique. Dual blockade of LCK and EGFR is synergistic in CCA and may be a viable therapeutic approach for patients.

Abstract Background: Cholangiocarcinoma is an aggressive malignancy with limited systemic therapeutics. We have recently identified LCK, a non-receptor tyrosine kinase, as a potential therapeutic target in select subtypes of cholangiocarcinoma. Proteomic profiling in other cancer types has proven beneficial in predicting response to systemic therapies. Herein, we present proteomic profiling of cholangiocarcinoma can predict sensitivity to a novel LCK inhibitor in patient derived xenograft models. Methods: Proteins from 28 unique cholangiocarcinoma patient derived xenograft models (PDX) were isolated, labeled with tandem mass tags (TMT) and then analyzed by liquid chromatography and mass spectroscopy (LC/MS). Phosphopeptides were separately evaluated both by Immobilized Metal Affinity Chromatography and pY-enrichment techniques. Following normalization, the global proteome, serine/threonine phosphoproteome, and tyrosine phosphoproteome were analyzed and a proteomic signature was created for each tumor. These signatures were compared to PDX models with known response profiles to NTRC0652-0, an LCK inhibitor (1 resistant and 1 sensitive). The top 200 differentially abundant proteins (log2FC 2.6) were then utilized to develop a sensitive and a resistant signature. Correlation indices were then calculated across the 28 PDX model library. An additional predicted resistant and predicted sensitive model was expanded. Tumor bearing mice were randomized based on tumor volume to either treatment with NTRC (30mg/kg PO daily), n=5, or vehicle, n=4, (10% Kolliphor, 10% DMSO, 80% Water, 2 mol equivalents HCl). Tumors were measured weekly with calipers and then weighed at the end of the study. Results: In the top 200 differentially abundant proteins that represented the proteomic signature there was over representation of proteins with decreased abundance. There were only 12 proteins with higher abundance in the sensitive model as compared to the resistant. Utilizing the signature developed from the global proteomics data, nine tumors were predicted to be sensitive while 17 were predicted to be resistant to NTRC. PDX115 is a an intrahepatic CCA PDX known to contain an IDH1 mutation and was predicted to be resistant by modeling. The model was resistant to single agent NTRC with no demonstrable effect on tumor growth in vivo. PDX175 is a distal CCA PDX and was predicted to be sensitive by modeling. In vivo growth was inhibited by NTRC as compared to vehicle treated mice following two weeks of treatment (983% vs 435%, p=0.03). Additionally, final tumor weight was significantly lower in NTRC treated mice (0.651 g vs 0.317 g, p=0.04). Conclusion: Cholangiocarcinoma proteomic signatures can be used to predict therapeutic response to a novel LCK inhibitor in preclinical models. Whether or not this could be applied to other treatment modalities in cholangiocarcinoma remains to be determined. Citation Format: Ryan Watkins, Roberto Alva-Ruiz, Caitlin Conboy, Dong-Gi Mun, Erik Jessen, Diep Vu, Jos de Man, Rogier Buijsman, Akhilesh Pandey, Mitesh Borad, Gregory Gores, Rory Smoot. Proteomic profiling of cholangiocarcinoma predicts response to a novel small molecule inhibitor in preclinical models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3094.

463 Background: Molecularly targeted therapy is gaining traction in cholangiocarcinoma with the first FDA approval of a targeted agent in 2020, the FGFR inhibitor pemigatinib. Yet response rates and efficacy are modest, and most cholangiocarcinoma patients still lack targeted therapy options. The hippo pathway effector, YAP, is an oncogene that is activated in the majority of cholangiocarcinoma, yet attempts to develop YAP inhibitors have not yet been clinically successful. Recently, we described a novel mechanism of YAP regulation, via tyrosine phosphorylation by the Src-family kinase LCK. Therefore we hypothesized that LCK inhibition by may be therapeutic in cholangiocarcinoma through suppression of YAP activity. Methods: NTRC 0652-0 is a novel tyrosine kinase inhibitor with specificity for LCK. In vitro pharmacodynamics were defined. In cholangiocarcinoma cells, specificity for LCK inhibition was determined by mass spectrometry-based unbiased analysis of the tyrosine phosphoproteome following treatment with NTRC 0652-0 or genetic deletion of LCK. YAP phosphorylation and cotranscriptional activity, cell viability, and apoptosis were assessed. A panel of eight cholangiocarcinoma patient derived organoids (PDO) were characterized and tested for sensitivity to NTRC 0652-0. Two patient-derived xenograft (PDX) models bearing FGFR2-rearrangements were utilized for in vivo assessment of pharmacokinetics, toxicity, and efficacy. Results: NTRC 0652-0 demonstrated selectivity for LCK inhibition in vitro and in cholangiocarcinoma cells. NTRC 0652-0 treatment led to YAP inhibition and apoptotic cell death in cholangiocarcinoma cell lines, associated with inhibition of MCL1 expression. PDOs demonstrated variable sensitivity to NTRC 0652-0, correlated with basal YAP tyrosine phosphorylation and drug-induced suppression of YAP co-transcriptional activity. FGFR2-altered cholangiocarcinoma was also identified as a subset with enrichment of YAP target genes. Cells from an FGFR2-altered PDX were sensitive to NTRC 0652-0 despite being primarily resistant to pemigatinib. In two PDX models of FGFR2-altered cholangiocarcinoma, daily oral treatment with NTRC 0652-0 inhibited YAP tyrosine phosphorylation, and resulted in stable plasma and tumor drug levels, acceptable toxicity, and significantly decreased tumor growth. Conclusions: A novel LCK inhibitor, NTRC 0652-0, reduced YAP signaling and demonstrated preclinical efficacy in multiple patient-derived models of cholangiocarcinoma. LCK is a novel therapeutic target in cholangiocarcinoma, and YAP activation or FGFR2-alteration are potential biomarkers for response.

Overexpression and amplification of AXL receptor tyrosine kinase (RTK) has been found in several hematologic and solid malignancies. Activation of AXL can enhance tumor-promoting processes such as cancer cell proliferation, migration, invasion and survival. Despite the important role of AXL in cancer development, a deep and quantitative mapping of its temporal dynamic signaling transduction has not yet been reported. Here, we used a TMT labeling-based quantitative proteomics approach to characterize the temporal dynamics of the phosphotyrosine proteome induced by AXL activation. We identified >1100 phosphotyrosine sites and observed a widespread upregulation of tyrosine phosphorylation induced by GAS6 stimulation. We also detected several tyrosine sites whose phosphorylation levels were reduced upon AXL activation. Gene set enrichment-based pathway analysis indicated the activation of several cancer-promoting and cell migration/invasion-related signaling pathways, including RAS, EGFR, focal adhesion, VEGFR and cytoskeletal rearrangement pathways. We also observed a rapid induction of phosphorylation of protein tyrosine phosphatases, including PTPN11 and PTPRA, upon GAS6 stimulation. The novel molecules downstream of AXL identified in this study along with the detailed global quantitative map elucidating the temporal dynamics of AXL activation should not only help understand the oncogenic role of AXL, but also aid in developing therapeutic options to effectively target AXL.

Abstract Several plasma glycoproteins are clinically useful as biomarkers in a variety of diseases. Although thousands of proteins are present in plasma, >95% of the plasma proteome by mass is represented by only 22 proteins. This necessitates strategies to deplete the abundant proteins and enrich other subsets of proteins. Although glycoproteins are abundant in plasma, in routine proteomic analyses, glycopeptides are not often investigated. Traditional methods such as lectin-based enrichment of glycopeptides followed by deglycosylation have helped understand the glycoproteome, but they lack any information about the attached glycans. Here, we apply size-exclusion chromatography (SEC) as a simple strategy to enrich intact N-glycopeptides based on their larger size which achieves broad selectivity regardless of the nature of attached glycans. Using this approach, we identified 1317 N-glycopeptides derived from 266 glycosylation sites on 154 plasma glycoproteins. The deep coverage achieved by this approach was evidenced by extensive heterogeneity that was observed. For instance, 20–100 glycopeptides were observed per protein for the 15 most-glycosylated glycoproteins. Notably, we discovered 615 novel glycopeptides of which 39 glycosylation sites (from 38 glycoproteins) were not included in protein databases such as Uniprot and GlyConnectDB. Finally, we also identified 12 novel glycopeptides containing di-sialic acid, which is a rare glycan epitope. Our results demonstrate the utility of SEC for efficient LC-MS/MS-based deep glycoproteomics analysis of human plasma. Overall, the SEC-based method described here is a simple, rapid and high-throughput strategy for characterization of any glycoproteome.

Pancreatic ductal adenocarcinoma is a recalcitrant tumor with minimal response to conventional chemotherapeutic approaches. Oncogenic signaling by activated tyrosine kinases has been implicated in cancers resulting in activation of diverse effector signaling pathways. Thus, the discovery of aberrantly activated tyrosine kinases is of great interest in developing novel therapeutic strategies in the treatment and management of pancreatic cancer. Patient-derived tumor xenografts (PDXs) in mice serve as potentially valuable preclinical models as they maintain the histological and molecular heterogeneity of the original human tumor. Here, we employed high-resolution mass spectrometry combined with immunoaffinity purification using anti-phosphotyrosine antibodies to profile tyrosine phosphoproteome across 13 pancreatic ductal adenocarcinoma PDX models. This analysis resulted in the identification of 1199 tyrosine-phosphorylated sites mapping to 704 proteins. The mass spectrometric analysis revealed widespread and heterogeneous activation of both receptor and non-receptor tyrosine kinases. Preclinical studies confirmed ephrin type-B receptor 4 (EphB4) as a potential therapeutic target based on the efficacy of human serum albumin-conjugated soluble EphB4 in mice bearing orthotopic xenografts. Immunohistochemistry-based validation using tissue microarrays from 346 patients with PDAC showed significant expression of EphB4 in >70% of patients. In summary, we present a comprehensive landscape of tyrosine phosphoproteome with EphB4 as a promising therapeutic target in pancreatic ductal adenocarcinoma.

Abstract A data-independent acquisition (DIA) approach is being increasingly adopted as a promising strategy for identification and quantitation of proteomes. As most DIA data sets are acquired with wide isolation windows, highly complex MS/MS spectra are generated, which negatively impacts obtaining peptide information through classical protein database searches. Therefore, the analysis of DIA data mainly relies on the evidence of the existence of peptides from prebuilt spectral libraries. Consequently, one major weakness of this method is that it does not account for peptides that are not included in the spectral library, precluding the use of DIA for discovery studies. Here, we present a strategy termed Precursor ion And Small Slice-DIA (PASS-DIA) in which MS/MS spectra are acquired with small isolation windows (slices) and MS/MS spectra are interpreted with accurately determined precursor ion masses. This method enables the direct application of conventional spectrum-centric analysis pipelines for peptide identification and precursor ion-based quantitation. The performance of PASS-DIA was observed to be superior to both data-dependent acquisition (DDA) and conventional DIA experiments with 69 and 48% additional protein identifications, respectively. Application of PASS-DIA for the analysis of post-translationally modified peptides again highlighted its superior performance in characterizing phosphopeptides (77% more), N-terminal acetylated peptides (56% more), and N-glycopeptides (83% more) as compared to DDA alone. Finally, the use of PASS-DIA to characterize a rare proteome of human fallopian tube organoids enabled 34% additional protein identifications than DDA alone and revealed biologically relevant pathways including low abundance proteins. Overall, PASS-DIA is a novel DIA approach for use as a discovery tool that outperforms both conventional DDA and DIA experiments to provide additional protein information. We believe that the PASS-DIA method is an important strategy for discovery-type studies when deeper proteome characterization is required.