Prognostic model based on disulfidptosis-related lncRNAs for predicting survival and therapeutic response in bladder cancer.

ABSTRACT:

Background

With poor treatment outcomes and prognosis, bladder cancer remains a focus for clinical research in the precision oncology era. However, the potential of disulfidptosis, a novel cell death mechanism, and its related long non-coding RNAs to support selective cancer cell killing in this disease is still unclear.

Methods

We identified key disulfidptosis-related lncRNAs in bladder cancer, constructed a prognostic risk model with potential therapeutic targets, and confirmed the findings through quantitative PCR analysis.

Results

We identified five crucial lncRNAs (AC005840.4, AC010331.1, AL021707.6, MIR4435-2HG and ARHGAP5-AS1) and integrated them into a predictive model centered on disulfidptosis-associated lncRNAs. Reliability and v

SUBMITTER: Han L 

PROVIDER: S-EPMC11647029 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature