E-GEOD-41804
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA178219
PROVIDER: E-GEOD-41804 | ExpressionAtlas | 2015-07-29
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-41804-analysis-methods.tsv | Tabular | |||
| E-GEOD-41804-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-41804-configuration.xml | Xml | |||
| E-GEOD-41804-percentile-ranks.tsv | Tabular | |||
| E-GEOD-41804.condensed-sdrf.tsv | Tabular |
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Project description:IL28B genotype was shown to be associated with treatment outcome of antiviral thearpy for HCV infection. We tried to clarify the molecular feature that was asocciated with IL2B genotype by comparing Hepatic gene expression of HCV related Hepatocellular carcinoma and non-cancerous tissue with Il28B rs8099917 TT genotype and TG/GG genotype.
2013-05-02 | GSE41804 | GEO
Project description:IL28B genotype was shown to be associated with treatment outcome of antiviral thearpy for HCV infection. We tried to clarify the molecular feature that was associated with IL2B genotype by comparing Hepatic gene expression of HCV related Hepatocellular carcinoma and non-cancerous tissue with Il28B rs8099917 TT genotype and TG/GG genotype. We analyzed ten HCC patients were selected from each IL28B genotype, and their gene expression was determined using Affymetrix genechip analysis.
2013-05-02 | E-GEOD-41804 | biostudies-arrayexpress
Project description:Hepatic gene expression of HCV related Hepatocellular carcinoma and non-cancerous tissue with Il28B rs8099917 TT genotype and TG/GG genotype
| PRJNA178219 | ENA
Project description:HCV+ cells were detected by smiFISH on liver section of a patient with hepatocellular carcinoma. Clusters of HCV+ and HCV- cells were captured by laser microdissection and transriptomes analysed by RNA sequening. Highly sensitive single molecule fluorescent in situ hybridization applied to frozen tissue sections of a hepatitis C patient allowed the delineation of clusters of infected hepatocytes. Laser micro-dissection followed by RNAseq analysis of HCV-positive and -negative regions from the tumoral and non-tumoral tissues from the same patient revealed HCV-related deregulation of expression of genes in the tumor and in the non-tumoral tissue.
2022-01-31 | GSE192862 | GEO
Project description:We applied small RNA Solexa sequencing technology to identify microRNA expression in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver, a severe chronic hepatitis B liver, two HBV-related hepatocellular carcinoma (HCC), an hepatitis C virus (HCV)-related HCC, and an HCC without HBV or HCV infection. All samples were collected with the informed consent of the patients and the experiments were approved by the ethics committee of Second Military Medical University, Shanghai, China. We investigated the miRNome in human normal liver and suggested some deregulated abundantly expressed microRNAs in HCC. center_name: National Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, China. Examination of miRNome in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver tissue, a severe chronic hepatitis B liver tissue, an HBV-related hepatocellular carcinoma (HCC) tissue and adjacent liver tissues of different regions,an HBV-related HCC tissue and adjacent liver tissue, an hepatitis C virus (HCV)-related HCC tissue and adjacent liver tissue, and an HCC without HBV or HCV infection and adjacent liver tissue. All 15 human liver tissue samples.
2010-04-10 | E-GEOD-21279 | biostudies-arrayexpress
Project description:Chronic hepatitis C virus (HCV) infection and cirrhosis are major risk factors for developing hepatocellular carcinoma (HCC). Genetic polymorphisms in the IFNL3/IFNL4 locus have been associated both with poor clearance of HCV and protection from liver fibrosis, an early stage of cirrhosis. Here, we aimed to address the genetic and functional relationships between IFNL3/IFNL4 polymorphisms, cirrhosis, and HCC risk. We evaluated associations between IFNL4 genotype (presence of rs368234815-dG or rs12979860-T alleles) with cirrhosis and HCC risk in patients with chronic HCV - 2,931 from Taiwan and 3,566 from Japan, and with gene expression and somatic mutations in 370 HCC tumors in The Cancer Genome Atlas (TCGA). Functional analyses were performed in primary human hepatocytes and hepatic stellate cells and a panel of hepatoma HepG2 cell lines with gene-edited IFNLR1 and inducible expression of IFN-λ3 or IFN-λ4. We detected associations between IFNL4 genotype and decreased risk of cirrhosis (OR=0.66, 95%CI=0.46-0.93, P=0.018, in Taiwan), but increased risk of HCC in patients without HCV clearance (OR=1.28, 95%CI=1.07-1.52, P=0.0058, in Japan). IFNL4 genotype was also associated with reduced cell proliferation and enrichment of CTNNB1 mutations in HCC tumors in TCGA. Reduced proliferation in hepatic cells was contributed by intracellular accumulation of IFN-λ4 leading to induction of ER stress and enhanced IRF1 signaling. The strong anti-proliferative effects of IFN-λ4 in hepatic cells could explain the association of IFNL3/IFNL4 polymorphisms with decreased cirrhosis. However, by sustaining persistent HCV infection, IFN-λ4 may contribute to the development of CTNNB1 mutations and increased risk of HCC in patients without viral clearance.
2021-09-15 | GSE145038 | GEO
Project description:Background: Several studies have investigated the association of miRNAs with hepatocellular carcinoma (HCC) but the data are not univocal. Methods: We performed a microarray study of miRNAs in hepatitis C virus (HCV)-associated HCC and other liver diseases and healthy conditions. Results and Conclusions: The simultaneous comparison of different liver diseases and normal livers allowed the identification of 18 miRNAs exclusively expressed in HCV-associated HCC, with sensitivity and specificity values of diagnostic-grade. A total number of 76 liver specimens obtained from 43 patients were analyzed: 26 liver specimens obtained from 10 patients with HCV-associated HCC, including 9 specimens from the tumor area (HCC) and 17 specimens from the surrounding non-tumorous tissue affected by cirrhosis (HCC-CIR); 18 specimens from 10 patients with HCV-associated cirrhosis without HCC (CIR); 13 specimens from 4 patients with HBV-associated acute liver failure (ALF); 12 specimens from 12 liver donors (LD); and 7 from normal liver of 7 subjects who underwent hepatic resection for liver angioma (NL).
2013-02-20 | E-GEOD-40744 | biostudies-arrayexpress
Project description:OBJECTIVE: The number of patients with HCV-related cirrhosis is increasing, leading to a rising risk of complications and death. Prognostic stratification in patients with early-stage cirrhosis is still challenging. We aimed to develop and validate a clinically useful prognostic index based on genomic and clinical variables to identify patients at high risk of disease progression. DESIGN: We developed a prognostic index, comprised of a 186-gene signature validated in our previous genome-wide profiling study, bilirubin (>1?mg/dL) and platelet count (<100?000/mm3), in an Italian HCV cirrhosis cohort (training cohort, n=216, median follow-up 10?years). The gene signature test was implemented using a digital transcript counting (nCounter) assay specifically developed for clinical use and the prognostic index was evaluated using archived specimens from an independent cohort of HCV-related cirrhosis in the USA (validation cohort, n=145, median follow-up 8?years). RESULTS: In the training cohort, the prognostic index was associated with hepatic decompensation (HR=2.71, p=0.003), overall death (HR=6.00, p<0.001), hepatocellular carcinoma (HR=3.31, p=0.001) and progression of Child-Turcotte-Pugh class (HR=6.70, p<0.001). The patients in the validation cohort were stratified into high-risk (16%), intermediate-risk (42%) or low-risk (42%) groups by the prognostic index. The high-risk group had a significantly increased risk of hepatic decompensation (HR=7.36, p<0.001), overall death (HR=3.57, p=0.002), liver-related death (HR=6.49, p<0.001) and all liver-related adverse events (HR=4.98, p<0.001). CONCLUSIONS: A genomic and clinical prognostic index readily available for clinical use was successfully validated, warranting further clinical evaluation for prognostic prediction and clinical trial stratification and enrichment for preventive interventions. 145 liver tissue needle biopsy specimens from U.S. HCV cirrhosis cohort patients with histologically proven cirrhosis lacking evidence and a history of hepatic decompensation or HCC.
2014-08-22 | E-GEOD-54100 | biostudies-arrayexpress
Project description:A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS. A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS.
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Project description:Background/Aims: Recurrence-free survival (RFS) following curative resection of hepatocellular carcinoma (HCC) in subjects with hepatitis C virus (HCV) infection is highly variable. Traditional clinico-pathological endpoints are recognized as weak predictors of RFS. It has been suggested that gene expression profiling of HCC and nontumoral liver tissue may improve prediction of RFS, aid in understanding of the underlying liver disease, and guide individualized therapy. The goal of this study was to create a gene expression predictor of HCC recurrence in subjects with HCV. Methods: Frozen samples of the tumors and nontumoral liver were obtained from 47 subjects with HCV-associated HCC. Additional nontumoral liver samples were obtained from HCV-free subjects with metastatic liver tumors. Gene expression profiling data was used to determine the molecular signature of HCV-associated HCC and to develop a predictor of RFS. Results: The molecular profile of the HCV-associated HCC confirmed central roles for MYC and TGF-beta1 in liver tumor development. Gene expression in tumors was found to have poor predictive power with regards to RFS, but analysis of nontumoral tissues yielded a strong predictor for RFS in late-recurring (>1 year) subjects. Importantly, nontumoral tissue-derived gene expression predictor of RFS was highly significant in both univariable and multivariable Cox proportional hazard model analyses. Conclusions: Microarray analysis of the nontumoral tissues from subjects with HCV-associated HCC delivers novel molecular signatures of RFS, especially among the late-recurrence subjects. The gene expression signature of the predictor gives important insights into the pathobiology of HCC recurrence and used in design of the individualized therapy. 43 tumor (JT) and 44 non-tumor (JNT) liver tissues surgically resected from patients with HCV-associated hepatocellular carcinoma; 8 non-tumor liver tissues (control samples, JC) surgically resected from HCV- or HBV-free patients with metastatic liver tumor. Inter-batch normalization was carried out using Distance Weighted Discrimination procedure. The supplementary file 'GSE17856_Readme.txt' contains a description of the replicates used for normalization. The 'GSE17856_US14702406_2514850*' files are the raw data files for the replicates.
2010-04-14 | E-GEOD-17856 | biostudies-arrayexpress