Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Hepatic gene expression of HCV related Hepatocellular carcinoma and non-cancerous tissue with Il28B rs8099917 TT genotype and TG/GG genotype

ABSTRACT: 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. 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. We analyzed ten HCC patients were selected from each IL28B genotype, and their gene expression was determined using Affymetrix genechip analysis.

SUBMITTER:

PROVIDER: S-DIXA-D-1142 | biostudies-other |

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Hepatic gene expression of HCV related Hepatocellular carcinoma and non-cancerous tissue with Il28B rs8099917 TT genotype and TG/GG genotype

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

Hepatic gene expression of HCV related Hepatocellular carcinoma and non-cancerous tissue with Il28B rs8099917 TT genotype and TG/GG genotype

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

Survivin deficient Hepatocellular carcinoma and non-cancerous tissue of mice

Project description:Hepatocellular carcinoma (HCC) is a deadly cancer lacking efficacious therapies. Latest studies show that cellular senescence and inflammation play key roles in HCC development, likely reflecting its etiological nature of chronic infection. A better understanding of these intertwined processes would facilitate development of therapies for malignant HCCs. Here, we show that malignant HCCs are drastically reduced after deletion of Survivin, an inhibitor of apoptosis protein. Survivin deficiency induces mitosis defect-caused metabolism reprogram and senescence in HCC cells. Survivin additionally protects both senescent and neighboring non-senescent cancer cells from cell death triggered by senescence-associated inflammatory factor TNFα. Importantly, combination of mitosis inhibitor and pro-apoptosis drug, but not alone, synergistically eliminates HCCs, recapitulating the therapeutic effect of genetic deletion of Survivin. By uncovering the role of Survivin in controlling the interaction of senescence and inflammation responses, our findings propose a strategy for HCC therapy by inducing senescence and boosting TNFα-mediated cell death.

2016-06-22 | GSE64804 | GEO

Systematic Review: Impact of Interferon-based Therapy on HCV-related Hepatocellular Carcinoma.

Project description:Hepatitis C virus (HCV) is the leading cause of hepatocellular carcinoma (HCC), and several antiviral agents are available for the treatment of chronic HCV infection. However, the impact of antiviral therapy on the long-term outcomes of HCV-related HCC patients remains inconclusive. We aimed to examine the impact of antiviral therapy on the long-term outcomes of HCV-related HCC patients. We conducted a systematic review using PRISMA guidelines to identify trials and English-language literature from PubMed, Ovid MEDLINE, Scopus and the Cochrane Library database till August 2014. Randomized trials of antiviral treatments examining the effects of antiviral therapy on CHC patients and HCV-related HCC patients were screened and selected. We identified 6 trials evaluated the effectiveness of interferon (IFN)-alfa treatment, 3 studies examined pegylated interferon-alfa treatment, and 2 studies examined IFN-beta treatment. IFN-based therapy may decrease HCC incidence in HCV cirrhotic patients after a >5-year follow-up, improve liver reserve, decrease HCC recurrence rate, and increase survival rate in HCV-related HCC patients after curative HCC therapy. In conclusion, IFN-based therapy is beneficial and may be recommended in the management of HCV-related HCC patients who are IFN eligible.

| S-EPMC4428066 | biostudies-literature

Determination of candidate metabolite biomarkers associated with recurrence of HCV-related hepatocellular carcinoma.

Project description:Hepatitis C virus (HCV) infection is associated with a high risk of developing hepatocellular carcinoma (HCC) and HCC recurrence remains the primary threat to outcomes after curative therapy. In this study, we compared recurrent and non-recurrent HCC patients treated with radiofrequency ablation (RFA) in order to identify characteristic metabolic profile variations associated with HCC recurrence. Gas chromatography-mass spectrometry (GC-MS) -based metabolomic analyses were conducted on serum samples obtained before and after RFA therapy. Significant variations were observed in metabolites in the glycerolipid, tricarboxylic acid (TCA) cycle, fatty acid, and amino acid pathways between recurrent and non-recurrent patients. Observed differences in metabolites associated with recurrence did not coincide before and after treatment except for fatty acids. Based on the comparison of serum metabolomes between recurrent and non-recurrent patients, key discriminatory metabolites were defined by a random forest (RF) test. Two combinations of these metabolites before and after RFA treatment showed outstanding performance in predicting HCV-related HCC recurrence, they were further confirmed by an external validation set. Our study showed that the determined combination of metabolites may be potential biomarkers for the prediction of HCC recurrence before and after RFA treatment.

| S-EPMC5814209 | biostudies-literature

Bioinformatics analysis of constructing a HCV-related hepatocellular carcinoma miRNA-mRNA regulation network.

Project description:AbstractHepatocellular carcinoma (HCC) is one of the tumors with a higher mortality rate globally, which significantly threatens people's health. Hepatitis C virus (HCV) infection is a major driving factor of HCC. This study aims to determine the key microRNA (miRNA), hub genes, and related pathways, construct potential miRNA-mRNA regulatory networks, and clarify the new molecular mechanism of HCV-related HCC. In this study, 16 differentially expressed miRNAs (DE miRNAs) were identified. The prediction of potential transcription factors and target genes not only found that SP1 and ERG1 may potentially regulate most of the screened DE miRNAs, but it also obtained 2923 and 1782 predicted target genes for the up-regulation and down-regulation of DE miRNAs, respectively. Subsequently, the introduction of differentially expressed genes dataset GSE62232 for target gene verification yielded 98 and 147 potential up-regulation and down-regulation target genes. The gene ontology (GO) and Kyoto encyclopedia of genes and genomes pathway enrichment analysis showed that they were mainly enriched in the cell cycle process, that is, subsequently, 20 hub genes were screened out through the protein-protein interaction network, and related genes were further evaluated using the GEPIA database. Based on the above analysis, the miRNA-hub gene regulatory network was constructed. In short, this research's hub genes and miRNAs closely related to HCV-related HCC were screened and identified through bioinformatics analysis and then built their connection. These results are expected to find potential therapeutic targets for HCV-related HCC.

| S-EPMC8376384 | biostudies-literature

Quantitative proteome analysis of plasma microparticles for characterization of HCV-induced hepatic cirrhosis and hepatocellular carcinoma

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.

2017-06-21 | PXD005777 | Pride

The significance of CDT1 expression in non-cancerous and cancerous liver in cases with hepatocellular carcinoma.

Project description:We previously reported that chromatin licensing and DNA replication factor 1 (CDT1) expression was associated with the extent of proliferation of atypical hepatocytes and the time to postoperative recurrence in cases of hepatocellular carcinoma (HCC). This study aimed to clarify the clinical significance or pathogenesis of CDT1 expression in both non-cancerous and cancerous liver in HCC cases, including previously published data. We investigated the association between the expression of CDT1 in non-cancerous or cancerous liver tissues and histologic findings or biochemical examination results in 62 cases. We also examined the dual localization between CDT1 and FbxW7, P57kip2, P53 and c-Myc by confocal laser scanning microscopy. CDT1 mRNA expression was significantly higher in cancerous liver than in non-cancerous liver (p<0.0001). Elevated CDT1 mRNA expression indicates a significantly degree of inflammatory cell infiltration within lobules, along with elevated serum transaminase levels, and hepatic spare decline. CDT1 mRNA was highly expressed in a group of poorly differentiated cancer cells. CDT1 co-localized with P57kip2, Fbwx7, P53 and c-Myc in the nucleus or cytoplasm of hepatocytes and cancer cells. We found that CDT1 mRNA expression could represent the degree of hepatic spare ability and the high carcinogenic state.

| S-EPMC10636575 | biostudies-literature

Breakdown of adaptive immunotolerance induces hepatocellular carcinoma in HBsAg-tg mice.

Project description:Hepatitis B virus (HBV) can induce chronic inflammation, cirrhosis, and eventually hepatocellular carcinoma (HCC). Despite evidence suggesting a link between adaptive immunity and HBV-related diseases in humans, the immunopathogenic mechanisms involved are seldom described. Here we show that expression of TIGIT, a promising immune checkpoint in tumor immunotherapy, increases with age on hepatic CD8+ T cells in HBsAg-transgenic (HBs-tg) mice whose adaptive immune system is tolerant to HBsAg. TIGIT blockade or deficiency leads to chronic hepatitis and fibrosis, along with the emergence of functional HBsAg-specific cytotoxic T lymphocytes (CTLs), suggesting adaptive immune tolerance could be broken by TIGIT blockade or deficiency. Importantly, HBsAg vaccination further induces nonresolving inflammation and HCC in a CD8+ T cell-dependent manner in TIGIT-blocked or -deficient HBs-tg mice. Therefore, CD8+ T cells play an important role in adaptive immunity-mediated tumor progression and TIGIT is critical in maintenance of liver tolerance by keeping CTLs in homeostatic balance.

| S-EPMC6333806 | biostudies-literature

A literature review of genetics and epigenetics of HCV-related hepatocellular carcinoma: translational impact.

Project description:Background and objectiveHepatocellular carcinoma (HCC) poses a significant global health burden and ranks as the fifth most prevalent cancer on a global scale. Hepatitis C virus (HCV) infection remains one of the major risk factors for HCC development. HCC is a heterogeneous disease, and the development of HCC caused by HCV is intricate and involves various factors, including genetic susceptibility, viral factors, immune response due to chronic inflammation, alcohol abuse, and metabolic dysfunction associated with fatty liver disease. In this review, we provide a comprehensive and updated review of research on the genetics and epigenetic mechanisms implicated in developing HCC associated with HCV infection. We also discuss the potential translational implications, including novel biomarkers and drugs for treatment.MethodsA comprehensive literature search was conducted in June 2023 in PubMed and Embase databases.Key content and findingsRecent findings indicate that a variety of genetic and epigenetic processes are involved in the pathogenesis and continue to exist even after the complete elimination of HCV. The deregulation of the epigenome has been identified as a significant factor in the deletrious effects of liver disease, especially during the initial stages when genetic alterations are uncommon. The enduring "epigenetic memory" of gene expression is believed to be regulated by epigenetic mechanisms, indicating that alterations caused by HCV infection continue to exist and are linked to the risk of development of liver cancer even after successful treatment. Systems biology analytical methods will be required to delineate the magnitude and significance of both genetic and epigenomic alterations in tumor evolution.ConclusionsBy facilitating a more profound understanding of these aspects, this will ultimately foster the advancement of novel therapies and ultimately improve outcomes for patients.

| S-EPMC11336528 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data