Unknown

Dataset Information

Single-Cell Transcriptomics Identifies Novel Prognostic Signatures in HNSCC Immunotherapy Response.


ABSTRACT: Head and neck squamous cell carcinoma (HNSCC) poses a major therapeutic challenge. In this study, we aimed to analyze tumor immune microenvironment changes and develop a prognostic model based on immunotherapy response. We analyzed single-cell RNA sequencing data from three HNSCC patients receiving TLR8 agonist and anti-PD1 combination therapy, identified cell subpopulations before and after treatment with a focus on six major immune cell types, and developed a LASSO-Cox risk stratification model using combined single-cell and bulk RNA sequencing data. We identified 19 pre-treatment and 13 post-treatment cell subpopulations. Analysis of six major immune cell types revealed differential gene expression patterns. Based on treatment-induced differential genes, we developed a LASSO-Cox model w

SUBMITTER: Wu K 

PROVIDER: S-EPMC12580877 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature