Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

HCC prediction after clearance of HCV in chronic hepatitis C I

ABSTRACT: We attempted to development prediction methods for hepatocellular carcinoma (HCC) in chronic hepatitis C patients who have been successfully treated by anti-viral therapy. 2565 miRNAs in 43 liver tissues specimens were analyzed.

ORGANISM(S): Homo sapiens

PROVIDER: GSE119156 | GEO | 2020/01/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

HCC prediction after clearance of HCV in chronic hepatitis C II

Project description:We attempted to development prediction methods for hepatocellular carcinoma (HCC) in chronic hepatitis C patients who have been successfully treated by anti-viral therapy. 2565 miRNAs in 139 exosome specimens were analyzed.

2020-01-24 | GSE119159 | GEO

HCC prediction after clearance of HCV in chronic hepatitis C II

Project description:HCC prediction after clearance of HCV in chronic hepatitis C II

| PRJNA488280 | ENA

HCC prediction after clearance of HCV in chronic hepatitis C I

Project description:HCC prediction after clearance of HCV in chronic hepatitis C I

| PRJNA488275 | ENA

Profiling of miRNAs involved in liver carcinogenesis by age [HCC, sHCC]

Project description:Previous studies have identified several microRNAs (miRNAs) that may coordinate multiple pathways associated with age-related carcinogenesis. We compared hepatic miRNA expression patterns in chronic hepatitis (CH) and hepatocellular carcinoma (HCC) to elucidate age-related differences potentially underlying hepatocarcinogenesis. 2565 miRNAs in 97 liver tissues specimens were analyzed.

2020-06-20 | GSE147889 | GEO

Transcription profiling of human liver samples from subjects with hepatitis C virus (HCV), HCV-HCC, or normal liver

Project description:The role of chronic hepatitis C virus (HCV) in the pathogenesis of HCV-associated hepatocellular carcinoma (HCC) is not completely understood, particularly at the molecular level. We studied gene expression in normal, pre-malignant (cirrhosis), and tumor (HCC) liver tissues using Affymetrix GeneChips. Experiment Overall Design: Liver tissue samples were obtained from patients waiting for liver transplantation at one of the GR2HCC Centers. Additionally, normal liver and tumor samples were also obtained from the Liver Tissue Cell Distribution System. For each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.

2009-01-18 | E-GEOD-14323 | biostudies-arrayexpress

Integrative analysis of microRNAs and mRNAs in liver tissue and exosomes from blood of hepatitis C virus (HCV) related hepatocellular carcinoma (HCC) patient to identify biomarker and regulators of HCC [Total RNA-Seq]

2019-11-23 | GSE140845 | GEO

Up-regulated aldo-ketoreductase1B10 in chronic hepatitis C: Association with serum alpha-fetoprotein and hepatocellular carcinoma

Project description:We attempted to identify a specific gene expression signature by performing microarray analysis on the livers of patients with chronic hepatitis C and AFP elevation. Distinct hepatic gene expression patterns were demonstrated between patients with elevated AFP (≥10ng/mL) and normal AFP (<10ng/mL). Among the 30,150 valid genes, 627 were identified as differentially expressed genes with a minimal fold change of 2.0. Using these 627 genes, PCA and HCA were used to successfully distinguish samples according to their AFP status. Of the 627 differently expressed genes, AKR1B10 was most abundantly expressed in patients with elevated AFP. AKR1B10 expression was validated by Real-time RT-PCR and immunohistochemical study. Furthermore, a proportional correlation between AKR1B10 expression and serum AFP was demonstrated by regression analysis. A matched case-control study indicated that AKR1B10 up-regulation was an independent risk factor for HCC development. Liver tissues samples from 48 chronic hepatitis C patients were stratified by their serum AFP levels and analyzed for gene expression profiles. AKR1B10 was up-regulated in patients with chronic hepatitis C in association with serum AFP, and was an independent risk factor for HCC development.

2014-09-15 | E-GEOD-32221 | biostudies-arrayexpress

Project description:Chronic hepatitis C (CHC) is one of the major risk factor for the progressive development of end stage liver diseases including liver cirrhosis (LC) and HCC worldwide. A deep insight into the molecular mechanism of development and progression of liver fibrosis into cirrhosis and HCC following chronic HCV infection leads to characterization of multiple cellular processes and the underlying regulatory mechanisms. Small Non-coding RNAs (sncRNAs) including microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are found to be the prime regulators of multiple cellular pathways. Next generation sequencing is now an emerging tool to identify genome wide altered sncRNAs which are either abundant or present in low copy in diseased condition. Using such tools several studies have identified myriads of differentially regulated miRNAs in HCV infected liver tissue by mapping to the annotated sequences in the miRNA database (miRbase). Our study attempted to identify the candidate miRNA and genes involved in HCV related HCC which has a potential to serve as diagnostic molecule as well as therapeutic target for HCC surveillance and management. In addition, considering our current knowledge about eukaryotic genomes and gene expression patterns there could be many more functional sncRNAs with low copy number yet to be discovered and characterized. We also explored this part to address the complexity of the pathogenesis and disease progression as well as the heterogeneity of the disease.

2019-11-15 | GSE140370 | GEO

RMA expression data for liver samples from subjects with HCV, HCV-HCC, or normal liver

2009-01-08 | GSE14323 | GEO