A new survival model based on ferroptosis-related genes for prognostic prediction in clear cell renal cell carcinoma
Guangzhen Wu, Qifei Wang, Yingkun Xu, Quanlin Li, Liang Cheng
Abstract
expression were associated with high-risk ccRCC patients. Multivariate analysis showed that risk score, age, stage, and grade were independent risk factors associated with prognosis in ccRCC. These findings demonstrate that this five risk-related FRG-based survival model accurately predicts prognosis in ccRCC patients, and suggest FRGs are potential prognostic biomarkers and therapeutic targets in several cancer types.
Topics & Concepts
Clear cell renal cell carcinomaBiologyOncologySurvival analysisLasso (programming language)CancerInternal medicineReceiver operating characteristicKidney cancerRenal cell carcinomaCancer researchMedicineComputer scienceWorld Wide WebFerroptosis and cancer prognosisCancer, Lipids, and MetabolismEpigenetics and DNA Methylation