Gene expression profile at single cell level of cells from cholangiocarcinoma(CCA) and adjacent tissues.
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ABSTRACT:
PROVIDER: PRJNA880865 | ENA |
REPOSITORIES: ENA
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Project description:Genetic abnormalities of cholangiocarcinoma (CCA) have been widely studied; however, epigenomic changes related to cholangiocarcinogenesis have been less well characterized. We have profiled the DNA methylomes of 28 primary CCA and six matched adjacent normal tissues using Infinium’s HumanMethylation27 BeadChips with the aim of identifying gene sets aberrantly epigenetically regulated in CCA. Using a linear model for microarray data we identified 1610 differentially methylated autosomal CpG sites with 809 CpG sites (representing 603 genes) being hypermethylated and 801 CpG sites (representing 712 genes) being hypomethylated in CCA versus adjacent normal (false discovery rate ? 0.05). Gene Ontology and Gene Set Enrichment analyses identified gene sets significantly associated with hypermethylation at linked CpG sites in CCA including homeobox genes and target genes of PRC2, EED, SUZ12 and Histone H3 trimethylation at lysine 27. We confirmed frequent hypermethylation at the homeobox genes HOXA9 and HOXD9 by bisulfite pyrosequencing in a larger cohort of CCA (n = 103). Our findings indicate a key role for hypermethylation of multiple CpG sites at genes associated with a stem cell-like phenotype as a common molecular aberration in CCA. These data have implications for CCA carcinogenesis, as well as possible novel treatment options using histone methyltransferase inhibitors. Methods: Thirty-two primary CCA, 6 matched adjacent normal, 5 CCA cell lines and an immortal biliary cell line were analyzed for DNA methylation profiles using the Infinium HumanMethylation27 BeadChip. Differential methylation was statistically analyzed using LIMMA. Specific functional terms and Gene Set Enrichment Analysis were performed to identify specific function of aberrantly methylated genes. Results: We identified 711 and 590 autosomal CpG sites as being hypermethylated and hypomethylated representing 527 and 521 genes, respectively, in CCA compared to adjacent normal (false discovery rate 0.05). A number of gene sets were significantly associated with hypermethylation at linked CpG sites in CCA including homeobox genes and the target genes of PRC2, EED, SUZ12, and H3K27me3, whereas target genes of NOS and OCT4 were hypomethylated at linked CpG sites in tumors. Frequent aberrant DNA methylation at HOXA9 and HOXD9 was confirmed by bisulfite pyrosequencing in a larger cohort of CCA (n = 107). Conclusions: This is the first report of a DNA methylation profile of multiple CpG sites at genes associated with a stem cell-like phenotype as a common molecular aberration in CCA. These data have implications for CCA carcinogenesis, as well as possible novel treatment options using histone methyltransferase inhibitors. Array-based methylation profiling was performed using the Infinium HumanMethylation27 BeadChip in 28 primary cholangiocarcinomas and six matched adjacent normal tissues. The reproducibility of the Infinium HumanMethylation27 BeadChips was evaluated using five technical replicates of the ovarian cancer cell line PEO1. Differential methylation cutoff was estimated from five technical replicates by bootstrap resampling and set at ?? ? 0.15 corresponding to a FDR ? 0.05.
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Project description:Cholangiocarcinoma is the second most common primary hepatic malignancy worldwide, with intrahepatic cholangiocarcinoma (ICC) a particularly significant public health problem in Southeast Asia, due to its strong association with the food-borne parasite Opisthorchis viverrini (OV). This manuscript represents the first comprehensive miRNA expression profiling by microarray of the three most common histological grades of OV-induced ICC: moderately differentiated, papillary, and well differentiated tumor tissue. No cohort of miRNAs emerged as commonly dysregulated among these histological grades of OV-induced ICC. Instead, each histological grade of ICC tissue showed a distinct miRNA profile. Moderately differentiated tumor tissue showed both the greatest number and the highest magnitude of miRNA dysregulation, followed by papillary ICC tumor tissue, and differentiated ICC tumor tissue. When ICC tumor tissue was compared to adjacent non-tumor tissue, a remarkable similarity in miRNA dysregulation was observed between these samples, indicative of intrahepatic metastasis. These findings indicate the possibility of determining the histological grade of ICC by profiling miRNA dysregulation, which not only would greatly enhance the molecular diagnosis of ICC, but could even lead to the personalized the treatment for ICC by the early classification of histological grade. A total of 46 unique liver tissue samples were analyzed on Agilent human miRNA microarray (miRBase Release 16.0). Of the 46 samples, 13 are from non-cancer healthy patients with gastric bypass surgery. The rest of 33 samples are CCA tumor tissue samples and their paired adjacent normal/necrotic tissue: 12 from well differentiated CCA, 17 from papillary CCA, 4 from moderately differentiated CCA.
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