Tumor Microenvironment T-cell Heterogeneity and Prognostic Model Construction in Laryngeal Squamous Cell Carcinoma by Single-cell and Bulk RNA Sequencing

Characterize T-cell profiles in laryngeal squamous cell carcinoma (LSCC) using single-cell RNA sequencing and develop a prognostic model. ScRNA-seq of LSCC tissues identified T-cell subtypes and marker genes. A prognostic model was constructed using COX and LASSO regressions with TCGA data, validated through bootstrap resampling and GEO dataset. Seven T-cell subtypes were detected. The model (HNRNPM, HSPH1, JMJD6, KDM5C, LCK) effectively predicted prognosis and correlated with immune infiltration, tumor mutational burden, and drug sensitivity. This study provides insights into T-cell heterogeneity in LSCC and establishes a validated prognostic risk model for predicting survival and therapeutic outcomes.