Development and Multi-Data Set Verification of an RNA Binding Protein Signature for Prognosis Prediction in Glioma.

ABSTRACT: Objective: Increasing evidence emphasizes the clinical implications of RNA binding proteins (RBPs) in cancers. This study aimed to develop a RBP signature for predicting prognosis in glioma. Methods: Two glioma datasets as training (n = 693) and validation (n = 325) sets were retrieved from the CGGA database. In the training set, univariate Cox regression analysis was conducted to screen prognosis-related RBPs based on differentially expressed RBPs between WHO grade II and IV. A ten-RBP signature was then established. The predictive efficacy was evaluated by ROCs. The applicability was verified in the validation set. The pathways involving the risk scores were analyzed by ssGSEA. scRNA-seq was utilized for evaluating their expression in different glioma cell typ

SUBMITTER: Sheng C 

PROVIDER: S-EPMC7900154 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature