Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma

Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma

The heterogeneity of head and neck squamous cell carcinoma (HNSCC) poses a significant challenge to treatment, underscoring the urgent need for more precise and personalized therapeutic approaches. CD8+ T cells, integral components of the tumor immune microenvironment, have emerged as key targets fo...

Full description

Saved in:
Bibliographic Details
Main Authors: Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Molecular Therapy: Nucleic Acids
Subjects:
MT: Bioinformatics
HNSCC
CD8+ T cells
multi-omics
machine learning
precision therapy
Online Access:http://www.sciencedirect.com/science/article/pii/S2162253124003007
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items