Exploration of methylation-driven genes for monitoring and prognosis of patients with lung adenocarcinoma.

ABSTRACT:

Background

As one of the most common malignant tumors in humans, lung cancer has experienced a gradual increase in morbidity and mortality. This study examined prognosis-related methylation-driven genes specific to lung adenocarcinoma (LUAD) to provide a basis for prognosis prediction and personalized targeted therapy for LUAD patients.

Methods

The methylation and survival time data from LUAD patients in the TCGA database were downloaded. The MethylMix algorithm was used to identify the differential methylation status of LUAD and adjacent tissues based on the β-mixture model to obtain disease-related methylation-driven genes. A COX regression model was then used to screen for LUAD prognosis-related methylation-driven genes, and a linear risk model based on five methylation-d

SUBMITTER: Gao C 

PROVIDER: S-EPMC6258452 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature