Integrated analysis of competing endogenous RNA networks revealing five prognostic biomarkers associated with colorectal cancer.

Colorectal cancer (CRC) is a common malignant tumor with high morbidity and mortality around the world. The aim of this study was to determine the genes significantly associated with the overall survival (OS) of CRC patients and predict their function in the competing endogenous RNA (ceRNA) regulation networks. We constructed the lncRNA-miRNA-mRNA networks according to the differentially expressed RNAs from the The Cancer Genome Atlas data sets of 561 CRC patients. Twelve differentially expressed messenger RNAs from the ceRNA networks were selected through a univariate Cox proportional hazards regression. Then, these genes were analyzed by using multivariate Cox proportional hazards stepwise regression to construct a prognostic model in which five genes (tensin 1, clusterin, proteolipid protein 1, epiregulin, and transcription factor Spi-B) were included. The Kaplan-Meier risk survival analysis showed that this five-gene signature independently predicted a 5-year overall survival in CRC patients (P < 0.001). Furthermore, significance was verified according to two irrelevant Gene Expression Omnibus (GEO) data sets (GSE38832 and GSE39582). The verified five-gene model of CRC can be used to predict patient prognosis and will inform postoperational evaluation and follow-up strategies.