Construction and verification of a prognostic model for bladder cancer based on disulfidptosis-related angiogenesis genes.

ABSTRACT:

Background

Bladder cancer (BLCA) is the most common malignancy of the urinary system and one of the most common cancers worldwide. This study seeks to examine the influence of angiogenesis-related genes (ARGs) linked to disulfidptosis on BLCA patients and to formulate a prognostic model for evaluating their prognosis and response to immunotherapy.

Methods

This study used sequencing data of BLCA in the Cancer Genome Atlas (TCGA) database. Unsupervised consensus clustering analysis, cox regression analysis, and least absolute shrinkage and selection operator (LASSO) regression analysis were used to screen hub genes and construct a related prognostic risk model. The receiver operating characteristic (ROC) curve and independent prognostic analysis were then used to verify the pr

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC11849515 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature