Identification and validation of a prognostic four-genes signature for hepatocellular carcinoma: integrated ceRNA network analysis.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is one of the most aggressive malignant tumors, with a poor long-term prognosis worldwide. The functional deregulations of global transcriptome were associated with the genesis and development of HCC, but lacks systematic research and validation.

Methods

A total of 519 postoperative HCC patients were included. We built an interactive and visual competing endogenous RNA network. The prognostic signature was established with the least absolute shrinkage and selection operator algorithm. Multivariate Cox regression analysis was used to screen for independent prognostic factors for HCC overall survival.

Results

In the training set, we identified a four-gene signature (PBK, CBX2, CLSPN, and CPEB3) and effectively predicted the over

SUBMITTER: Yan Y 

PROVIDER: S-EPMC6744548 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature