Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is one of the most common types of cancer worldwide. Despite several efforts to elucidate molecular mechanisms involved in this cancer, they are still not fully understood.

Methods

To acquire further insights into the molecular mechanisms of HCC, and to identify biomarkers for early diagnosis of HCC, we downloaded the gene expression profile on HCC with non-cancerous liver controls from the Gene Expression Omnibus (GEO) and analyzed these data using a combined bioinformatics approach.

Results

The dysregulated pathways and protein-protein interaction (PPI) network, including hub nodes that distinguished HCCs from non-cancerous liver controls, were identified. In total, 29 phenotype-related differentially expressed genes were in

SUBMITTER: Zhang L 

PROVIDER: S-EPMC4016278 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature