A systems biology-based classifier for hepatocellular carcinoma diagnosis.

ABSTRACT:

Aim

The diagnosis of hepatocellular carcinoma (HCC) in the early stage is crucial to the application of curative treatments which are the only hope for increasing the life expectancy of patients. Recently, several large-scale studies have shed light on this problem through analysis of gene expression profiles to identify markers correlated with HCC progression. However, those marker sets shared few genes in common and were poorly validated using independent data. Therefore, we developed a systems biology based classifier by combining the differential gene expression with topological features of human protein interaction networks to enhance the ability of HCC diagnosis.

Methods and results

In the Oncomine platform, genes differentially expressed in HCC tissues relative to the

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC3145651 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature