HPV status represents dominant trait driving delineation of survival-associated gene co-expression networks in head and neck cancer.

ABSTRACT: Integration of high-dimensional tumor gene expression data with clinicopathological data can increase our understanding of disease diversity, enable retrospective patient stratification, and identify new potential biomarkers and therapeutic targets. Using a systems biology approach, we provide a holistic overview of gene co-expression networks in head and neck squamous cell carcinomas (HNSCC). Weighted gene co-expression network analysis of HNSCC RNA sequencing data from 519 patients from The Cancer Genome Atlas (TCGA) was used to determine correlates of 5-year survival, using regression tree-based optimal threshold calculations. Survival-associated gene sets were transformed to gene set scores that were assessed for correlation with clinicopathological data. We identified 8 gene co-expres

SUBMITTER: Mehdi AM 

PROVIDER: S-EPMC10104777 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature