Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the major subtype of lung cancer and the most lethal malignant disease worldwide. However, the molecular mechanisms underlying LUAD are not fully understood.

Methods

Four datasets (GSE118370, GSE85841, GSE43458 and GSE32863) were obtained from the gene expression omnibus (GEO). Identification of differentially expressed genes (DEGs) and functional enrichment analysis were performed using the limma and clusterProfiler packages, respectively. A protein-protein interaction (PPI) network was constructed via Search Tool for the Retrieval of Interacting Genes (STRING) database, and the module analysis was performed by Cytoscape. Then, overall survival analysis was performed using the Kaplan-Meier curve, and prognostic candidate biomarkers w

SUBMITTER: Guo T 

PROVIDER: S-EPMC6626531 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature