Machine learning-driven identification of exosome- related biomarkers in head and neck squamous cell carcinoma

Machine learning-driven identification of exosome- related biomarkers in head and neck squamous cell carcinoma

BackgroundHead and neck squamous cell carcinoma (HNSCC) is a common cancer associated with elevated mortality rates. Exosomes, diminutive extracellular vesicles, significantly contribute to tumour development, immunological evasion, and treatment resistance. Identifying exosome-associated biomarkers...

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Bibliographic Details
Main Authors: Yaodong He, Yun Li, Jiaqi Tang, Yan Wang, Zhenyan Zhao, Rong Liu, Zihui Yang, Huan Li, Jianhua Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Immunology
Subjects:
head and neck squamous cell carcinoma
exosome biomarkers
machine learning
immune microenvironment
therapeutic target discovery
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1590331/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1590331/full

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