A potential prognostic model based on miRNA expression profile in The Cancer Genome Atlas for bladder cancer patients.

ABSTRACT:

Background

This study aimed to construct prognostic model by screening prognostic miRNA signature of bladder cancer.

Methods

The miRNA expression profile data of bladder cancer (BC) in The Cancer Genome Atlas (TCGA) were obtained and randomly divided into the training set and the validation set. Differentially expressed miRNAs (DEMs) between BC and normal control samples in the training set were firstly identified, and DEMs related to prognosis were screened by Cox Regression analysis. Then, the MiR Score system was constructed using X-Tile based cutoff points and verified in the validation set. The prognostic clinical factors are selected out by univariate and multivariate Cox Regression analysis. Finally, the mRNAs related to prognosis were screened and the biological path

SUBMITTER: Liu Y 

PROVIDER: S-EPMC7236498 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature