Nomogram model based on tumor-infiltrating lymphocytes and clinical characteristics to predict prognosis of patients with laryngeal squamous cell carcinoma.

ABSTRACT: Head and neck carcinomas are the sixth most common cancers worldwide, with laryngeal squamous cell carcinoma (LSCC) being the second most prevalent subtype. Improving survival outcomes in LSCC patients remains a critical clinical challenge. This retrospective study aimed to develop a nomogram model integrating tumor-infiltrating lymphocytes (TILs) and clinicopathological characteristics to predict the prognosis of LSCC patients. The nomogram model was constructed using Cox and Lasso regression analyses and was subsequently evaluated through receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were utilized for model validation and to further elucidate the role of TIL

SUBMITTER: Zhou X 

PROVIDER: S-EPMC11982727 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature