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Dataset Information

Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma.


ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is one of the most highly malignant and lethal cancers of the world. Its pathogenesis has been reported to be multi-factorial, and the molecular carcinogenesis of HCC can not be attributed to just a few individual genes. Based on the microRNA and mRNA expression profiling of normal liver tissues, pericancerous hepatocellular tissues and hepatocellular carcinoma tissues, we attempted to find prognosis related gene sets for HCC patients.

Results

We identified differentially expressed genes (DEG) from three comparisons: Cancer/Normal, Cancer/Pericancerous and Pericancerous/Normal. GSEA (gene set enrichment analysis) were performed. Based on the enriched gene sets of GO terms, pathways and transcription factor targets, it was found that

SUBMITTER: Wei L 

PROVIDER: S-EPMC4046763 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature