Development and Validation of a Prognostic Classifier Based on Lipid Metabolism-Related Genes in Gastric Cancer.

ABSTRACT: Background: Dysregulation of lipid metabolism plays important roles in the tumorigenesis and progression of gastric cancer (GC). The present study aimed to establish a prognostic model based on the lipid metabolism-related genes in GC patients. Materials and Methods: Two GC datasets from the Gene Expression Atlas, GSE62254 (n = 300) and GSE26942 (n = 217), were used as training and validation cohorts to establish a risk predictive scoring model. The efficacy of this model was assessed by ROC analysis. The association of the risk predictive scores with patient characteristics and immune cell subtypes was evaluated. A nomogram was constructed based on the risk predictive score model and other prognostic factors. Results: A risk predictive score model was es

SUBMITTER: Wei XL 

PROVIDER: S-EPMC8277939 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature