Identification of nine microRNAs as potential biomarkers for lung adenocarcinoma.

ABSTRACT: Lung cancer is a leading global cause of cancer-related death, and lung adenocarcinoma (LUAD) accounts for ~ 50% of lung cancer. Here, we screened for novel and specific biomarkers of LUAD by searching for differentially expressed mRNAs (DEmRNAs) and microRNAs (DEmiRNAs) in LUAD patient expression data within The Cancer Genome Atlas (TCGA). The identified optimal diagnostic miRNA biomarkers were used to establish classification models (including support vector machine, decision tree, and random forest) to distinguish between LUAD and adjacent tissues. We then predicted the targets of identified optimal diagnostic miRNA biomarkers, functionally annotated these target genes, and performed receiver operating characteristic curve analysis of the respective DEmiRNA biomarkers, their target DEmR

SUBMITTER: Ren ZP 

PROVIDER: S-EPMC6356168 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature