DNA methylation profiling to predict overall survival risk in gastric cancer: development and validation of a nomogram to optimize clinical management.

ABSTRACT: DNA methylation has been reported to serve an important role in the carcinogenesis and development of gastric cancer. Our aim was to systematically develop an individualized prediction model of the survival risk combing clinical and methylation factors in gastric cancer. A univariate Cox proportional risk regression analysis was used to identify the prognosis-associated methylation sites based on the differentially expressed methylation sites between early and advanced gastric cancer group, then we applied least absolute shrinkage and selection operator (LASSO) Cox regression model to screen candidate methylation sites. Subsequently, multivariate Cox proportional risk regression analysis was conducted to identify predictive signature according to the candidate sites. Relative operating cha

SUBMITTER: Ma X 

PROVIDER: S-EPMC7255367 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature