An integrative analysis of DNA methylation and gene expression to predict lung adenocarcinoma prognosis.

ABSTRACT: Background: Abnormal DNA methylation of gene promoters is an important feature in lung adenocarcinoma (LUAD). However, the prognostic value of DNA methylation remains to be further explored. Objectives. We sought to explore DNA methylation characteristics and develop a quantifiable criterion related to DNA methylation to improve survival prediction for LUAD patients. Methods: Illumina Human Methylation450K array data, level 3 RNA-seq data and corresponding clinical information were obtained from TCGA. Cox regression analysis and the Akaike information criterion were used to construct the best-prognosis methylation signature. Receiver operating characteristic curve analysis was used to validate the prognostic ability of the DNA methylation-related feature score. qPCR wa

SUBMITTER: Xu L 

PROVIDER: S-EPMC9465336 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature