Project description:Site-specific glycopeptide profiling of secreted proteins from cholangiocarcinoma cells using liquid chromatography-mass spectrometry
Project description:In this study,we performed integrated glycoproteomic and global proteomic analysis of tumor tissues of ICC and HCC to investigate the differences in site-specific glycosylation and proteins between ICC and HCC tumors. The paired paracancer tissue were also included as controls to determine the site-specific glycosylation changes in ICC and HCC tumors. The alteration extents in glycopeptide, global proteome, and normalized glycosylation in different sample groups were systematically compared.
Project description:The glycosylation landscape of Human cholangiocarcinoma (CCA), and how it affects CCA diagnosis and prognosis, has recently emerged as an appealing research field.In this study, we used chemical glycoproteomic analysis Click-iG for systematic profiling of intact glycopeptides in CCA and HIBEpiC cell lines.
Project description:We performed gene expression profiling of hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and mixed type of combined HCC and CC (CHC). In comparison of the profiles, a novel class of HCC expressing CC-like traits was identified. Gene expression profiling of 70 hepatocellular carcinoma (HCC), 13 cholangiocarcinoma (CC), and 7 mixed type of combined HCC and CC (CHC) were performed.
Project description:Transcriptomic profiling Background Cholangiocarcinoma accounts for 5-10% of primary hepatic cancers. The etiology is unclear and patients are often diagnosed without risk factors. Resection is the only curative treatment although patients frequently remain undiagnosed until advanced stage of disease. Methods To construct molecular classification of cholangiocarcinoma, we profiled the transcriptomes of 104 freshly-frozen tumors and 59 matched non-cancerous livers obtained from Australia, Europe and the United States. We also performed mutational analysis of KRAS, EGFR and BRAF, and used laser-capture microdissection to obtain independent gene expression profiles for epithelial and stromal compartments in a subset of tumors. The selected target genes were validated by western blotting and immunohistochemistry. Results Transcriptomic profiling classified cholangiocarcinoma into two distinct subclasses defined by survival (P<0.0007) and early recurrence (P<0.001). Applying leave-one-out cross-validation, we optimized the prognostic classifier to 238 genes which were positively enriched in the epithelial tumor compartment. A deregulated HER2 network was associated with the epithelial compartment which also showed a frequent overexpression of Ki67, EGFR, MET and pRPS6 whereas inflammatory cytokines were enriched in tumor stroma specifically in patients with poor prognosis. KRAS mutations were found in 24.6% of patients with poor disease outcome. Conclusion Our study presents new insights into pathogenesis of cholangiocarcinoma and stratification of the patients according to survival and recurrence. Identification of a subgroup of patients among the poor prognostic cohort characterized by KRAS mutations and oncogenic-addiction may provide a novel therapeutic opportunity for this treatment-refractory malignancy. Profiling of individual cholangiocarcinomas and non-cancerous matched surrounding livers using normal bile ducts as reference
Project description:The aim of this study was to investigate the presence of intact O- and N-glycopeptides in profiles of normal human urine analyzed by capillary electrophoresis coupled to mass spectrometry (CE-MS).CE and liquid chromatography coupled to tandem mass spectrometry (CE- and LC-MS/MS) were both used to identify glycopeptide sequences. Furthermore, we estimated the abundance levels of these glycopeptides in urine from five different cancer types i.e. bladder cancer (BCa), prostate cancer (PCa), pancreatic cancer, cholangiocarcinoma (CC) and renal cell carcinoma (RCC).
Project description:This study aims to investigate the role of core clock gene period 1 (Per1) in cholangiocarcinoma. We stably overexpressed Per1 in Mz-ChA-1 (cholangiocarcinoma cell line) and performed human gene expression profiling.
Project description:Cholangiocarcinoma is a cancer of the hepatic bile ducts that is typically detected at a stage too advanced for resection. Additionally, chemotherapy is of limited efficacy, hence, novel therapeutic approaches are urgently required, including targeting of the cancer stroma. A macrophage-derived signal, tumour necrosis factor-like weak inducer of apoptosis (TWEAK), binds to cell-surface fibroblast growth factor-inducible 14 (Fn14), on cholangiocarcinoma cells to induce cytokine and chemokine expression and secretion. These TWEAK-inducible factors from cholangiocarcinoma cells can also affect macrophage polarisation. We characterised proteins secreted by four well-characterised human cholangiocarcinoma cell lines in the presence or absence of recombinant human TWEAK (100 ng/ml), to discover novel TWEAK-inducible factors that could drive pro-tumour niche formation.
Project description:To identify miRNAs differentially expressed in cholangiocarcinoma,3 human cholangiocarcinoma and their corresponding normal bile duct tissues were obtained from 3 patients after operation with postoperative pathological diagnosed perihilar or distal biliary cholangiocarcinoma miRNAs expression in human cholangiocarcinoma/normal bile duct samples was measured after operation.Three independent experiments were performed using different patients for each experiment.
Project description:This dataset comprises site-specific glycopeptide analysis of complement component C3 from plasma samples of 816 adults from the Korčula cohort (Croatia). C3 glycopeptides were enriched using Concanavalin A lectin affinity chromatography and analyzed by nano-LC-MS/MS. The study characterizes the N-glycan repertoire at both occupied glycosylation sites (N63 and N917), which carry exclusively high-mannose structures including unusual monoglucosylated glycoforms (Glc1Man9GlcNAc2, Glc1Man8GlcNAc2). Glycopeptide quantification was performed to assess associations with demographic and biochemical traits, and to conduct genome-wide association analysis identifying genetic determinants of C3 glycosylation. This represents the first large-scale population-level analysis of site-specific C3 N-glycosylation.