Machine learning-derived natural killer cell signature predicts prognosis and therapeutic response in clear cell renal cell carcinoma

Machine learning-derived natural killer cell signature predicts prognosis and therapeutic response in clear cell renal cell carcinoma

Background: Natural killer cells, interconnected with patient prognosis and treatment response, play a pivotal role in the tumor immune microenvironment and may serve as potential novel predictive biomarkers for renal cell carcinoma. Methods: Clear cell renal cell carcinoma transcriptome data and th...

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Bibliographic Details
Main Authors: Jinchen Luo, Mingjie Lin, Minyu Chen, Jinwei Chen, Xinwei Zhou, Kezhi Liu, Yanping Liang, Jiajie Chen, Hui Liang, Zhu Wang, Qiong Deng, Jieyan Wang, Meiyu Jin, Junhang Luo, Wei Chen, Junjie Cen
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Translational Oncology
Subjects:
Single-cell RNA sequencing
Clear cell renal cell carcinoma (CCRCC)
Natural killer cell (NK cell)
Prognosis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523324003061
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