A prognostic model for head and neck squamous cell carcinoma based on radiotherapy sensitivity insights from nasopharyngeal carcinoma.

ABSTRACT:

Background

Radioresistance significantly impairs treatment efficacy and prognostic outcomes in head and neck squamous cell carcinoma (HNSCC). This study aimed to identify radiotherapy sensitivity-related genes and construct a prognostic model for HNSCC, incorporating insights from nasopharyngeal carcinoma (NPC) as a related subtype.

Methods

Differentially expressed genes (DEGs) associated with radiotherapy response were identified using the GSE48501 dataset, primarily derived from NPC. Functional annotation was performed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Using the TCGA-HNSC dataset, we developed a prognostic risk model through univariate and LASSO-Cox regression analyses. The model was validated for prognostic accurac

SUBMITTER: Fei Y 

PROVIDER: S-EPMC12106292 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature