MicroRNA-based classification of hepatocellular carcinoma and oncogenic role of miR-517a.

ABSTRACT:

Background & aims

Hepatocellular carcinoma (HCC) is a heterogeneous tumor that develops via activation of multiple pathways and molecular alterations. It has been a challenge to identify molecular classes of HCC and design treatment strategies for each specific subtype. MicroRNAs (miRNAs) are involved in HCC pathogenesis, and their expression profiles have been used to classify cancers. We analyzed miRNA expression in human HCC samples to identify molecular subclasses and oncogenic miRNAs.

Methods

We performed miRNA profiling of 89 HCC samples using a ligation-mediated amplification method. Subclasses were identified by unsupervised clustering analysis. We identified molecular features specific for each subclass using expression pattern (Affymetrix U133 2.0; Affymetrix, Sant

SUBMITTER: Toffanin S 

PROVIDER: S-EPMC3680790 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature