Integrated machine learning identifies disulfidptosis-related and ferroptosis-related genes to evaluate survival prognosis and treatment efficacy in kidney renal clear cell carcinoma

Integrated machine learning identifies disulfidptosis-related and ferroptosis-related genes to evaluate survival prognosis and treatment efficacy in kidney renal clear cell carcinoma

Background: Ferroptosis and disulfidptosis, two programmed cell death pathways, critically drive tumor growth by affecting metastasis. Although the prognostic value of disulfidptosis and ferroptosis had been separately validated in kidney renal clear cell carcinoma (KIRC), prognostic effect of integ...

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Bibliographic Details
Main Authors: Yuan Xiang, Zijian Zhou, Tong Mu, Shunyao Zhang, Lei Xie, Yajie Zhou, Wenxiong Zhang, Liuxiang Fu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Biochemistry and Biophysics Reports
Subjects:
Disulfidptosis
Ferroptosis
KIRC
DRFs
Prognostic signature
Drug sensitivity
Online Access:http://www.sciencedirect.com/science/article/pii/S240558082500189X
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