An integrated lncRNA, microRNA and mRNA signature to improve prognosis prediction of colorectal cancer.

ABSTRACT: Although the outcome of patients with colorectal cancer (CRC) has improved significantly, prognosis evaluation still presents challenges due to the disease heterogeneity. Increasing evidences revealed the close correlation between aberrant expression of certain RNAs and the prognosis. We envisioned that combined multiple types of RNAs into a single classifier could improve postoperative risk classification and add prognostic value to the current stage system. Firstly, differentially expressed RNAs including mRNAs, miRNAs and lncRNAs were identified by two different algorithms. Then survival and LASSO analysis was conducted to screen survival-related DERs and build a multi-RNA-based classifier for CRC patient stratification. The prognostic value of the classifier was self-validated in the T

SUBMITTER: Xiong Y 

PROVIDER: S-EPMC5689623 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature