Microarray-based identification of genes associated with cancer progression and prognosis in hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths. The average survival and 5-year survival rates of HCC patients still remains poor. Thus, there is an urgent need to better understand the mechanisms of cancer progression in HCC and to identify useful biomarkers to predict prognosis.

Methods

Public data portals including Oncomine, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) profiles were used to retrieve the HCC-related microarrays and to identify potential genes contributed to cancer progression. Bioinformatics analyses including pathway enrichment, protein/gene interaction and text mining were used to explain the potential roles of the identified genes in HCC. Quantitative real-time polymerase chain reaction

SUBMITTER: Yin F 

PROVIDER: S-EPMC5002170 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature