Identification of DNA methylation-driven genes and construction of a nomogram to predict overall survival in pancreatic cancer.

ABSTRACT:

Background

The incidence and mortality of pancreatic cancer (PC) has gradually increased. The aim of this study was to identify survival-related DNA methylation (DNAm)-driven genes and establish a nomogram to predict outcomes in patients with PC.

Methods

The gene expression, DNA methylation database, and PC clinical samples were downloaded from TCGA. DNAm-driven genes were identified by integrating analyses of gene expression and DNA methylation data. Survival-related DNAm-driven genes were screened via univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses to develop a risk score model for prognosis. Based on analyses of clinical parameters and risk score, a nomogram was built and validated. The independent cohort from

SUBMITTER: Deng GC 

PROVIDER: S-EPMC8567715 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature