Identification of an IRGP Signature to Predict Prognosis and Immunotherapeutic Efficiency in Bladder Cancer.

ABSTRACT:

Background

Identify immune-related gene pairs (IRGPs) signature related to the prognosis and immunotherapeutic efficiency for bladder cancer (BLCA) patients.

Materials and methods

One RNA-seq dataset (The Cancer Genome Atlas Program) and two microarray datasets (GSE13507 and GSE31684) were included in this study. We defined these cohorts as training set to construct IRGPs and one immunotherapy microarray dataset as validation set. Identifying BLCA subclasses based on IRGPs by consensus clustering. The Lasso penalized Cox proportional hazards regression model was used to construct prognostic signature and potential molecular mechanisms were analyzed.

Results

This signature can accurately predict the overall survival of BLCA patients and was verified in the immunotherap

SUBMITTER: Zhang LH 

PROVIDER: S-EPMC8082411 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature