Development of gene expression signatures for liver cirrhosis
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ABSTRACT:
PROVIDER: PRJNA510345 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We sought to identify sensitive and noninvasive biomarkers for development and progression of post HBV infection liver cirrhosis.
2019-12-01 | GSE123932 | GEO
Project description:BACKGROUND & AIMS: Cirrhosis affects 1% to 2% of the world population and is the major risk factor for hepatocellular carcinoma (HCC). Hepatitis C cirrhosis-related HCC is the most rapidly increasing cause of cancer death in the United States. Noninvasive methods have been developed to identify patients with asymptomatic early-stage cirrhosis, increasing the burden of HCC surveillance, but biomarkers are needed to identify patients with cirrhosis who are most in need of surveillance. We investigated whether a liver-derived 186-gene signature previously associated with outcomes of patients with HCC is prognostic for patients with newly diagnosed cirrhosis but without HCC. METHODS: We performed gene expression profile analysis of formalin-fixed needle biopsy specimens from the livers of 216 patients with hepatitis C-related early-stage (Child-Pugh class A) cirrhosis who were prospectively followed up for a median of 10 years at an Italian center. We evaluated whether the 186-gene signature was associated with death, progression of cirrhosis, and development of HCC. RESULTS: Fifty-five (25%), 101 (47%), and 60 (28%) patients were classified as having poor-, intermediate-, and good-prognosis signatures, respectively. In multivariable Cox regression modeling, the poor-prognosis signature was significantly associated with death (P = .004), progression to advanced cirrhosis (P < .001), and development of HCC (P = .009). The 10-year rates of survival were 63%, 74%, and 85% and the annual incidence of HCC was 5.8%, 2.2%, and 1.5% for patients with poor-, intermediate-, and good-prognosis signatures, respectively. CONCLUSIONS: A 186-gene signature used to predict outcomes of patients with HCC is also associated with outcomes of patients with hepatitis C-related early-stage cirrhosis. This signature might be used to identify patients with cirrhosis in most need of surveillance and strategies to prevent the development of HCC.
2013-01-22 | GSE15654 | GEO
Project description:Cirrhosis, advanced liver disease, affects 2-5 million Americans. While most patients have compensated cirrhosis and may be fairly asymptomatic, many decompensate and experience life-threatening complications such as gastrointestinal bleeding, confusion (hepatic encephalopathy), and ascites, reducing life expectancy from 12 to less than 2 years. Among the patients with compensated cirrhosis, identifying patients at high risk of decompensation is critical to optimize care, reduce morbidity and mortality. This is important to preferentially direct them towards specialty care which cannot be provided to all patients with cirrhosis. We used discovery Top-down Proteomics (TDP) to detect differentially expressed proteoforms (DEPs) in the plasma of patients with cirrhosis with the goal to identify candidate biomarkers of disease progression. 663 DEPs were identified across three stages of cirrhosis (compensated, compensated with portal hypertension, and decompensated), of which 115 derived from proteins enriched in the liver at a transcriptional level and discriminated the progressive stages of cirrhosis. Enrichment analyses demonstrated DEPs are involved in numerous metabolic, oxidative, immunological, and hematological processes known to be impacted by cirrhosis progression. We have preliminarily defined the plasma proteoform signatures of cirrhosis patients, setting the stage for ongoing discovery and validation of biomarkers for early diagnosis, risk stratification, and disease monitoring.
2024-03-13 | MSV000094311 | MassIVE
Project description:Gene-expression profiles of hepatitis C-related, early-stage liver cirrhosis Background & Aims: Liver cirrhosis affects 1%M-bM-^HM-^R2% of population and is the major risk factor of hepatocellular carcinoma (HCC). Hepatitis C cirrhosis-related HCC is the most rapidly increasing cause of cancer death in the US. Non-invasive methods have been developed to identify patients with asymptomatic, early-stage cirrhosis, increasing the burden of HCC surveillance, but biomarkers are needed to identify patients with cirrhosis who are most in need of surveillance. We investigated whether a liver-derived 186-gene signature previously associated with outcomes of patients with HCC is prognostic for patients newly diagnosed with cirrhosis but without HCC. Methods: We performed gene expression profile analysis of formalin-fixed needle biopsies from the livers of 216 patients with hepatitis C-related early-stage (Child-Pugh class A) cirrhosis who were prospectively followed for a median of 10 years at an Italian center. We evaluated whether the 186-gene signature was associated with death, progression of cirrhosis, and development of HCC. Results: Fifty-five (25%), 101 (47%), and 60 (28%) patients were classified as having poor-, intermediate-, and good-prognosis signatures, respectively. In multivariable Cox regression modeling, the poor-prognosis signature was significantly associated with death (P=.004), progression to advanced cirrhosis (P<.001), and development of HCC (P=.009). The 10-year rates of survival were 63%, 74%, and 85% and the annual incidences of HCC were 5.8%, 2.2%, and 1.5% for patients with poor-, intermediate-, and good-prognosis signatures, respectively. Conclusions: A 186-gene signature used to predict outcomes of patients with HCC is also associated with outcomes of patients with hepatitis C-related early-stage cirrhosis. This signature might be used to identify patients with cirrhosis in most need of surveillance and strategies to prevent their development of HCC. 216 liver biopsy specimens
2013-01-22 | E-GEOD-15654 | biostudies-arrayexpress
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.
2011-11-02 | E-GEOD-22977 | biostudies-arrayexpress
Project description:Development of gene expression signatures for human liver fibrosis
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Project description:Strong gut microbiome biomarkers for Liver cirrhosis
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Project description:Liver cirrhosis is one of the leading causes of decreased life expectancy worldwide. However, the molecular mechanisms underlying the development of liver cirrhosis remain unclear. In this study, we performed a comprehensive analysis using transcriptome sequencing to explore the genes, pathways, and interactions associated with liver cirrhosis. We performed transcriptome sequencing of blood samples from patients with cirrhosis and healthy controls (1:1 matched for sex and age). For transcriptome analysis, we screened for differentially expressed miRNAs and mRNAs, analyzed mRNAs to identify possible core genes and pathways, and performed co-analysis of miRNA and mRNA sequencing results. And we validated differentially expressed microRNA (miRNA) and mRNAs using real-time quantitative polymerase chain reaction. Using a systems biology framework, We identified miRNAs and mRNAs that were differentially expressed in the blood of cirrhotic patients and healthy controls. And explored associated pathways as well as disease-specific networks.
2025-08-01 | GSE210545 | GEO