Project description:To explore the miRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma To performe microarray analysis to detect the miRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma
Project description:To explore the lncRNAs and mRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma To performe microarray analysis to detect the lncRNAs and mRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma
Project description:MicroRNAs (miRNAs) exhibit essential regulatory functions related to cell growth, apoptosis, development and differentiation. Dysregulated expression of miRNAs is associated with a wide variety of human diseases. As such miRNA signatures are valuable as biomarkers for disease and for making treatment decisions. Hepatitis B virus (HBV) is a major risk factor for hepatocellular carcinoma (HCC). Here we screened for miRNAs in chronic HBV associated HCC. To evaluate the effect of HBV infection on the change in expression of miRNAs, 12 pairs of samples from HCC and non-tumor tissues (including 6 HBV-positive HCC and 6 HBV-negative HCC and their non-tumor tissues) were collected. The extracted RNAs were evaluated to detect the expression of miRNAs. Using ANOVA to screen the differential expression of miRNAs at P-value ⤠0.01, fold change ⥠2 or ⤠0.5, 225 miRNAs were detected.
Project description:Comprehensive analysis of the miRNA profile between HBV-related Hepatocellular carcinoma (HBCC) and no HBV-related Hepatocellular carcinoma (HNCC)
Project description:Comprehensive analysis of the mRNA-lncRNA profile between HBV-related Hepatocellular carcinoma (HBCC) and no HBV-related Hepatocellular carcinoma (HNCC)
Project description:Purpose: To gain molecular insights of HBV integration that may contribute to HCC tumorigenesis, we performed whole transcriptome sequencing and whole genome copy number profiling of hepatocellular carcinoma (HCC) samples from 50 Chinese patients. Results: We identified a total of 33 HBV-human integration sites in 16 of 44 HBV-positive HCC tissues, which were enriched in HBV genotype C-infected patients. In addition, significantly recurrent HBV-MLL4 integration (18%). This dataset is part of the TransQST collection.
Project description:Purpose: To gain molecular insights of HBV integration that may contribute to HCC tumorigenesis, we performed whole transcriptome sequencing and whole genome copy number profiling of hepatocellular carcinoma (HCC) samples from 50 Chinese patients. Results: We identified a total of 33 HBV-human integration sites in 16 of 44 HBV-positive HCC tissues, which were enriched in HBV genotype C-infected patients. In addition, significantly recurrent HBV-MLL4 integration (18%; 8/44) was found in this cohort of patients. Conclusions: This is the first report on the molecular basis of the MLL4 integration driving MLL4 over-expression. HBV-MLL4 integration occurred frequently in Chinese HCC patients, representing a unique molecular segment for HCC with HBV infection.
Project description:To identify the prognostic subtypes of hepatocellular carcinoma with potential progenitor cell origin. Keywords: disease state design We used our in-house oligonucleotide microarray data of 238 HBV-positive HCC cases.