Identification and validation of a novel signature for prediction the prognosis and immunotherapy benefit in bladder cancer.

ABSTRACT:

Background

Bladder cancer (BC) is a common urinary tract system tumor with high recurrence rate and different populations show distinct response to immunotherapy. Novel biomarkers that can accurately predict prognosis and therapeutic responses are urgently needed. Here, we aim to identify a novel prognostic and therapeutic responses immune-related gene signature of BC through a comprehensive bioinformatics analysis.

Methods

The robust rank aggregation was conducted to integrate differently expressed genes (DEGs) in datasets of the Cancer Genome Atlas (TCGA) and the gene expression omnibus (GEO). Lasso and Cox regression analyses were performed to formulate a novel mRNA signature that could predict prognosis of BC patients. Subsequently, the prognostic value and predictive va

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8796709 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature