Identification of an inflammation-related risk signature for prognosis and immunotherapeutic response prediction in bladder cancer.

ABSTRACT: Tumor inflammation is one of the hallmarks of tumors and is closely related to tumor occurrence and development, providing individualized prognostic prediction. However, few studies have evaluated the relationship between inflammation and the prognosis of bladder urothelial carcinoma (BLCA) patients. Therefore, we constructed a novel inflammation-related prognostic model that included six inflammation-related genes (IRGs) that can precisely predict the survival outcomes of BLCA patients. RNA-seq expression and corresponding clinical data from BLCA patients were downloaded from The Cancer Genome Atlas database. Enrichment analysis was subsequently performed to determine the enrichment of GO terms and KEGG pathways. K‒M analysis was used to compare overall survival (OS). Cox regression and L

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10786915 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature