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ABSTRACT: Background
Lung cancer is one of the most lethal and most prevalent malignant tumors worldwide, and lung squamous cell carcinoma (LUSC) is one of the major histological subtypes. Although numerous biomarkers have been found to be associated with prognosis in LUSC, the prediction effect of a single gene biomarker is insufficient, especially for glycolysis-related genes. Therefore, we aimed to develop a novel glycolysis-related gene signature to predict survival in patients with LUSC.Methods
The mRNA expression files and LUSC clinical information were obtained from The Cancer Genome Atlas (TCGA) dataset.Results
Based on Gene Set Enrichment Analysis (GSEA), we found 5 glycolysis-related gene sets that were significantly enriched in LUSC tissues. Univariate and multivar
SUBMITTER: Huang G
PROVIDER: S-EPMC8161559 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature