Identification of a glycolysis-related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma.

ABSTRACT:

Background

Lung squamous cell carcinoma (LUSC), one of the main types of lung cancer, has caused a huge social burden. There has been no significant progress in its therapy in recent years, Resulting in a poor prognosis. This study aims to develop a glycolysis-related gene signature to predict patients' survival with LUSC and explore new therapeutic targets.

Methods

We obtained the mRNA expression and clinical information of 550 patients with LUSC from the Cancer Genome Atlas (TCGA) database. Glycolysis genes were identified by Gene Set Enrichment Analysis (GSEA). The glycolysis-related gene signature was established using the Cox regression analysis.

Results

We developed five glycolysis-related genes signature (HKDC1, AGL, ALDH7A1, SLC16A3, and MIOX) to calculate eac

SUBMITTER: Xu Z 

PROVIDER: S-EPMC8209576 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature