Computer methods in biomechanics and biomedical engineering · 2025
Construction and mechanistic exploration of a ferroptosis related gene based prognostic model for cisplatin resistance in bladder cancer.
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Shao Yifeng, Yu Qiying, Zhu Jinfeng, Wang Xiaolin
Аннотация
INTRODUCTION: Cisplatin resistance remains a major cause of treatment failure in advanced bladder cancer. Moreover, growing evidence implicates ferroptosis in the development of this resistance.
METHODS: We analyzed transcriptomic data from 44 cisplatin-treated bladder cancer patients to identify cisplatin-ferroptosis-related genes (CFRGs). Using machine learning and Cox regression, we developed a model and profiled the tumor microenvironment.
RESULTS: The three gene signature stratified patients into high-risk and low-risk groups. SLC1A4 was markedly upregulated in tumors.
DISCUSSION: Our data suggest SLC1A4, TXNIP, and PLIN4 are involved in ferroptosis mediated cisplatin resistance in BLCA, findings which merit further study.
METHODS: We analyzed transcriptomic data from 44 cisplatin-treated bladder cancer patients to identify cisplatin-ferroptosis-related genes (CFRGs). Using machine learning and Cox regression, we developed a model and profiled the tumor microenvironment.
RESULTS: The three gene signature stratified patients into high-risk and low-risk groups. SLC1A4 was markedly upregulated in tumors.
DISCUSSION: Our data suggest SLC1A4, TXNIP, and PLIN4 are involved in ferroptosis mediated cisplatin resistance in BLCA, findings which merit further study.