A Diagnostic Panel of DNA Methylation Biomarkers for Lung Adenocarcinoma.

ABSTRACT: Lung adenocarcinoma (LUAD) is one of the most common cancers and lethal diseases in the world. Recognition of the undetermined lung nodules at an early stage is useful for a favorable prognosis. However, there is no good method to identify the undetermined lung nodules and predict their clinical outcome. DNA methylation alteration is frequently observed in LUAD and may play important roles in carcinogenesis, diagnosis, and prediction. This study took advantage of publicly available methylation profiling resources and a machine learning method to investigate methylation differences between LUAD and adjacent non-malignant tissue. The prediction panel was first constructed using 338 tissue samples from LUAD patients including 149 non-malignant ones. This model was then validated with data fro

SUBMITTER: Shen N 

PROVIDER: S-EPMC6901798 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature