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ABSTRACT: Background
Alterations in lipid metabolism are increasingly being recognized. However, the application of lipid metabolism in the prognosis of gastric cancer (GC) has not yet been explored.Methods
A total of 204 lipid metabolism relative genes were analyzed in the GC cohort from The Cancer Genome Atlas (TCGA), and four independent cohorts from Gene Expression Omnibus (GEO) and one cohort from Wuhan Union Hospital were applied for external validation. Differential expression and enrichment analyses were performed between GC and normal tissue. The LASSO-Cox proportional hazard regression model was applied to select prognostic genes and to construct a gene expression profile.Results
Our research indicated that higher expression level of AKR1B1, PLD1, and UGT8 were corr
SUBMITTER: Xiong Z
PROVIDER: S-EPMC8457048 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature