A transcriptome profile in hepatocellular carcinomas based on integrated analysis of microarray studies.

ABSTRACT:

Background

Despite new treatment options for hepatocellular carcinomas (HCC) recently, 5-year survival remains poor, ranging from 50 to 70%, which may attribute to the lack of early diagnostic biomarkers. Thus, developing new biomarkers for early diagnosis of HCC, is extremely urgent, aiming to decrease HCC-related deaths.

Methods

In the study, we conducted a comprehensive characterization of gene expression data of HCC based on a bioinformatics method. The results were confirmed by real time polymerase chain reaction (RT-PCR) and TCGA database to prove the credibility of this integrated analysis.

Results

After integrating analysis of seven HCC gene expression datasets, 1167 differential expressed genes (DEGs) were identified. These genes mainly participated in the pr

SUBMITTER: Wang F 

PROVIDER: S-EPMC5237304 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature