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

ABSTRACT: 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 for immunotherapy. Our research has established a correlation between a decrease in CD8⁺ T cell score and a poor clinical prognosis, highlighting the prognostic value of this biomarker. By analyzing the gene expression related to CD8⁺ T cells, we have differentiated HNSCC into cold and hot tumor subtypes, uncovering disparities in clinical prognosis and responses to immunotherapy. Utilizing eight machine learning methods, we identified the key gene OLR1. Single-cel

SUBMITTER: He D 

PROVIDER: S-EPMC11869859 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature