A comprehensive prognostic score for head and neck squamous cancer driver genes and phenotype traits.

ABSTRACT:

Background

Head and neck squamous cancer (HNSCC) presents variable phenotype and progression features. Clinically applicable, high-accuracy multifactorial prognostic models for HNSCC survival outcomes are warranted and an active area of research. This study aimed to construct a comprehensive prognostic tool for HNSCC overall survival by integrating cancer driver genes with tumor clinical and phenotype information.

Methods

Key overall survival-related cancer driver genes were screened from among main effector and reciprocal gene pairs using TCGA data using univariate Cox proportional hazard regression analysis. Independent validation was performed using the GSE41613 dataset. The main effector genes among these were selected using LASSO regression and transcriptome score model

SUBMITTER: Zeng W 

PROVIDER: S-EPMC10613197 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature