Project description:Genome-wide DNA methylation profiling of cirrhosis and dysplastic liver samples. The Illumina Infinium 450k Human DNA methylation BeadChip was used to obtain DNA methylation profiles across approximately 485,577 CpGs sites. Samples included 130 cirrhosis and 8 exhibiting dysplasia. The manuscript includes an integrative analysis of these samples along with samples from normal liver and HCC already deposited under GSE63898.
Project description:Gene profiling of hepatocytes in early and advanced cirrhotic Rats Two-condition experiment, Advanced cirrhosis vs Control liver, Advanced cirrhosis vs Early cirrhosis. Biological replicates: 5 Advanced cirrhosis, 5 Early cirrhosis, 5 control liver. Each hepatocyte was isolated independently. One replicate per array.
Project description:Cirrhosis and cancers of the upper digestive tract, colorectal and ENT share common risk factors. Liver cirrhosis can change the elimination of cancer drugs.
Precise data on management and outcome of patients with liver cirrhosis undergoing chemotherapy are lacking. Most patients have been excluded from clinical trials evaluating conventional therapies.
The study of tolerance, side effects, and outcome in patients with cirrhosis could help improve chemotherapy management for better tolerance and efficacy.
The main objective is to estimate the frequency of liver cirrhosis among patients evaluated in CPR for ENT, upper digestive or colorectal cancer.
Secondary objective includes the evaluation ofthe impact of cirrhosis on the management of chemotherapy by comparing cirrhotic patients’ outcomes with a control group of matched non-cirrhotic patients.
Project description:This is a pilot project to assess the genomic landscape of liver cirrhosis. Non-cancer cirrhotic liver tissue biospies will undergo LCM to look for clonality across the entire liver and cancer driver mutations. Furthermore this will be compared to previous CASM studies and on normal liver samples.
Project description:Background: Of Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), 85%-90% of cases develop from liver cirrhosis, and circular RNAs (circRNAs) have important roles in this process; however, differences in serum circRNA expression profiles between patients with HBV-related cirrhosis and those with HCC have not been studied. Methods: Serum RNA was extracted from patients with HCC and cirrhosis (n = 5 per group) and used for microarray analysis of circRNA expression profiles. Bioinformatics analyses, including clustering, differential expression, and construction of a ceRNA network, were performed. Quantitative real-time reverse transcription PCR validation analysis was conducted using samples from patients with HBV-related cirrhosis (n = 88) and HCC (n = 73). Further, statistical analyses were used to analyze the potential function and value of selected circRNAs with expression differing between the HBV-related cirrhosis and HCC groups. Results: Cluster analysis revealed 8 up-regulated and 80 down-regulated circRNAs. Further, qRT-PCR analysis showed that circRNA_0000367 expression was consistent with that detected by microarray experiments, with significantly lower levels in patients with HBV-related HCC than those with HBV-related cirrhosis. CircRNA_0000367 expression levels were also significantly lower in patients with drug-resistant HBV and those with HBV-related cirrhosis with Model for End-Stage Liver Disease score < 10. Further, circRNA_00000367 expression levels were lower in patients with HBV-related cirrhosis who progressed to HCC. Analysis of the lncRNA-miRNA-mRNA ceRNA network identified 39 miRNAs and 24 mRNAs involved in circRNA_00000367 networks; these target genes were involved in various biological processes and signaling pathways. Conclusion: Serum cicrRNA_0000367 is a potential HCC biomarker in patients with HBV-related cirrhosis, where down-regulation of cicrRNA_0000367 in HBV-related cirrhosis may be associated with progression to HCC.
Project description:In this study, we used the Affymetrix HG-U133A 2.0 GeneChip for deriving a multigenic classifier capable of predicting HCV+cirrhosis with vs without concomitant HCC. We studied gene expression in cirrhotic tissues with (N=16) and without (N=47) HCC. Keywords: cross-sectional Liver tissue samples were obtained from patients waiting for liver transplantation. For each sample, RNA was extracted and hybridized to an Affymetrix GeneChip. This dataset is part of the TransQST collection.
Project description:The samples of human liver tissues from the healthy donors, the HBV-infected patients without cirrhosis, and the HBV-infected patients with cirrhosis were collected. The tissues were then analyzed by the m6A-mRNA&lncRNA Epitranscriptomic miroarray. The Goal of this experiment was to determine the different of gene expression and m6a methylation of liver tissues among the healthy donors, the HBV-infected patients with and without cirrhosis.