Hepatocellular carcinoma (HCC) is a complex and heterogeneous tumor due to activation of multiple cellular pathways and molecular alterations. Herein, we report the first molecular classification of 89 HCC based on the expression of 358 microRNAs and integrative genomic analysis. Three main subclasses of HCC were identified : two of them were associated with beta-catenin mutations or aggressive phenotype. A subset of the subclass of aggressive tumors (8/89, 9%) showed overexpression of a cluster of microRNAs located on chr19q13.41 (C19MC locus. We showed that miR 517a, representing C19MC, promoted cell proliferation, migration and invasion in vitro and induced the development of aggressive tumors in vivo suggesting its role as a novel oncogenic driver in HCC.
MicroRNA-based classification of hepatocellular carcinoma and oncogenic role of miR-517a.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
Specimen part, Disease
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Molecular Liver Cancer Prevention in Cirrhosis by Organ Transcriptome Analysis and Lysophosphatidic Acid Pathway Inhibition.
Sex, Specimen part, Disease, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Gene-expression signature of vascular invasion in hepatocellular carcinoma.
Sex, Age, Specimen part
View SamplesCorticosteroids are the current standard of care to improve short-term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre-treatment predictors are lacking. We developed 123-gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA-approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring-based gene expressoin risk classification is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
Specimen part, Disease
View SamplesCorticosteroids are the current standard of care to improve short-term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre-treatment predictors are lacking. We developed 123-gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA-approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring-based gene expressoin risk classificatoin is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
No sample metadata fields
View SamplesCorticosteroids are the current standard of care to improve short_term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre_treatment predictors are lacking. We developed 123_gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA_approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring_based gene expressoin risk classificatoin is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Epidermal growth factor receptor inhibition attenuates liver fibrosis and development of hepatocellular carcinoma.
Sex, Specimen part, Disease, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
No associated publication
Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Inhibition of cancer cell proliferation by PPARγ is mediated by a metabolic switch that increases reactive oxygen species levels.
Specimen part, Cell line
View Samples