Recognition of DNA Methylation Molecular Features for Diagnosis and Prognosis in Gastric Cancer.

ABSTRACT: Background: The management of gastric cancer (GC) still lacks tumor markers with high specificity and sensitivity. The goal of current research is to find effective diagnostic and prognostic markers and to clarify their related mechanisms. Methods: In this study, we integrated GC DNA methylation data from publicly available datasets obtained from TCGA and GEO databases, and applied random forest and LASSO analysis methods to screen reliable differential methylation sites (DMSs) for GC diagnosis. We constructed a diagnostic model of GC by logistic analysis and conducted verification and clinical correlation analysis. We screened credible prognostic DMSs through univariate Cox and LASSO analyses and verified a prognostic model of GC by multivariate Cox analysis. Independent pro

SUBMITTER: Liu D 

PROVIDER: S-EPMC8566671 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature