Machine-learning derived identification of prognostic signature to forecast head and neck squamous cell carcinoma prognosis and drug response

IntroductionHead and neck squamous cell carcinoma (HNSCC), a highly heterogeneous malignancy is often associated with unfavorable prognosis. Due to its unique anatomical position and the absence of effective early inspection methods, surgical intervention alone is frequently inadequate for achieving...

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Bibliographic Details

Published in:	Frontiers in Immunology
Main Authors:	Sha-Zhou Li, Hai-Ying Sun, Yuan Tian, Liu-Qing Zhou, Tao Zhou
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Subjects:	machine learning HNSCC DEGs tumor microenvironment immunotherapy
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1469895/full