Integrating machine learning, bioinformatics and experimental verification to identify a novel prognostic marker associated with tumor immune microenvironment in head and neck squamous carcinoma

Integrating machine learning, bioinformatics and experimental verification to identify a novel prognostic marker associated with tumor immune microenvironment in head and neck squamous carcinoma

Head and neck squamous carcinoma (HNSC), characterized by a high degree of malignancy, develops in close association with the tumor immune microenvironment (TIME). Therefore, identifying effective targets related to HNSC and TIME is of paramount importance. Here, we employed the ESTIMATE algorithm t...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaoxia Zeng, Dunhui Yang, Jin Zhang, Kang Li, Xijia Wang, Fang Ma, Xianqin Liao, Zhen Wang, Xianhai Zeng, Peng Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Immunology
Subjects:
ITM2A
immune microenvironment
HNSC
machine learning
prognostic
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1501486/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1501486/full

Similar Items