Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target

Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target

Abstract Background The pathogenesis and progression of renal cell carcinoma (RCC) involve complex programmed cell death (PCD) processes. As the powerhouse of the cell, mitochondria can influence cell death mechanisms. However, the prognostic significance of the interplay between mitochondrial funct...

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Bibliographic Details
Main Authors: Guangyang Cheng, Zhaokai Zhou, Shiqi Li, Fu Peng, Shuai Yang, Chuanchuan Ren
Format: Article
Language:English
Published: Springer 2025-02-01
Series:Cancer Immunology, Immunotherapy
Subjects:
Mitochondria function
Programmed cell death
Kidney clear cell carcinoma
Machine learning
Prognostic signature
PIF1
Online Access:https://doi.org/10.1007/s00262-025-03967-8
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https://doi.org/10.1007/s00262-025-03967-8

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