Construction and validation of a prognostic model for bladder cancer based on disulfidptosis-related lncRNAs.

ABSTRACT:

Background

Bladder cancer (BLCA) is a prevalent and aggressive cancer associated with high mortality and poor prognosis. Currently, studies on the role of disulfidptosis-related long non-coding RNAs (DRLs) in BLCA are limited. This study aims to construct a prognostic model based on DRLs to improve the accuracy of survival predictions for patients and identify novel targets for therapeutic intervention in BLCA management.

Methods

Transcriptomic and clinical datasets for patients with BLCA were obtained from The Cancer Genome Atlas. Using multivariate Cox regression and least absolute shrinkage and selection operator techniques, a risk prognostic signature defined by DRLs was developed. The model's accuracy and prognostic relevance were assessed through Kaplan-Meier survival

SUBMITTER: Yang X 

PROVIDER: S-EPMC11224815 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature