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Dataset Information

A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma.


ABSTRACT:

Background

Head and neck squamous cell carcinoma (HNSCC) is a common malignancy that emanates from the lips, mouth, paranasal sinuses, oropharynx, larynx, nasopharynx, and from other pharyngeal cancers. The availability of high-throughput expression data has made it possible to use global gene expression data to analyze the relationship between metabolic-related gene expression and clinical outcomes in HNSCC patients.

Method

In this study, we used RNA sequencing (RNA-seq) data from the cancer genome atlas (TCGA), with validation in the GEO dataset to profile the metabolic microenvironment and define potential biomarkers for metabolic therapy.

Results

We extracted data for 529 patients and 327 metabolic genes (198 upregulated and 129 downregulated genes) in the TCGA da

SUBMITTER: Wu ZH 

PROVIDER: S-EPMC7787728 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature