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Dataset Information

Lipid metabolism-related gene signatures for predicting the prognosis of lung adenocarcinoma.


ABSTRACT:

Background

Lung cancer is one of the most common epithelial malignancies worldwide, accounting for the highest number of new cases and deaths. Metabolism is the sum of chemical reactions that produce energy to keep an organism alive. Several studies have shown that glucose and lipid metabolic disorders are common phenomena related to cancer cell genesis and progression.

Methods

We screened the differentially expressed genes (DEGs) of lung adenocarcinoma (LUAD) samples of The Cancer Genome Atlas (TCGA) database, the Gene Set Enrichment Analysis (GSEA), and Gene Card database metabolism-related data, the metabolism-related DEGs of LUAD, as well as the univariate Cox regression analysis genes, for identifying significant outcome-related genes. The least absolute shrinkage and g

SUBMITTER: Cao X 

PROVIDER: S-EPMC10493788 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature