Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma

Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma

Abstract The connection between metabolic reprogramming and tumor progression has been demonstrated in an increasing number of researches. However, further research is required to identify how metabolic reprogramming affects interpatient heterogeneity and prognosis in clear cell renal cell carcinoma...

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Bibliographic Details
Main Authors: Yunxun Liu, Zhiwei Yan, Cheng Liu, Rui Yang, Qingyuan Zheng, Jun Jian, Minghui Wang, Lei Wang, Xiaodong Weng, Zhiyuan Chen, Xiuheng Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Clear cell renal cell carcinoma
Single-cell RNA sequencing
Cell metabolic reprogramming
Machine learning
Prognosis
Online Access:https://doi.org/10.1038/s41598-025-85618-7
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https://doi.org/10.1038/s41598-025-85618-7

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