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Dataset Information

Identification and construction of prognostic clusters and risk-prognosis model based on aging-immune related genes in bladder cancer.


ABSTRACT:

Background

Faced with the current global ageing situation, advanced age has become a risk factor for bladder carcinogenesis progression and immunotherapy. Exploring the common mechanisms of aging and immune in bladder cancer and finding new prognostic markers and immunotherapeutic targets has become an urgent issue.

Method

Aging-immune related genes (AIGs) were collected from the public databases MSIGDB, HAGR and ImmPort, and hub AIGs were finally identified in the TCGA-BLCA disease cohort by expression, prognosis, and clinicopathological correlation analysis, and the correlation of hub AIGs with immune microenvironment, immunotherapeutic response, ferroptosis and m6A methylation was verified. Subsequently, prognostic clusters and risk-prognosis models for AIGs was construct

SUBMITTER: Cao N 

PROVIDER: S-EPMC11618553 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature