A novel survival model based on a Ferroptosis-related gene signature for predicting overall survival in bladder cancer.

ABSTRACT:

Background

The effective treatment and prognosis prediction of bladder cancer (BLCA) remains a medical problem. Ferroptosis is an iron-dependent form of programmed cell death. Ferroptosis is closely related to tumour occurrence and progression, but the prognostic value of ferroptosis-related genes (FRGs) in BLCA remains to be further clarified. In this study, we identified an FRG signature with potential prognostic value for patients with BLCA.

Methods

The corresponding clinical data and mRNA expression profiles of BLCA patients were downloaded from The Cancer Genome Atlas (TCGA). Univariate Cox regression was used to extract FRGs related to survival time, and a Cox regression model was used to construct a multigene signature. Both principal component analysis (PCA) and sing

SUBMITTER: Liang Y 

PROVIDER: S-EPMC8380338 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature