Screening of potential biomarkers and their predictive value in early stage non-small cell lung cancer: a bioinformatics analysis.

ABSTRACT:

Background

Non-small cell lung cancer (NSCLC) remains the first leading cause of death in malignancies worldwide. Despite the early screening of NSCLC by low-dose spiral computed tomography (CT) in high-risk individuals caused a 20% reduction in the mortality, there still exists imperative needs for the identification of novel biomarkers for the diagnosis and treatment of lung cancer.

Methods

mRNA microarray datasets GSE19188, GSE33532, and GSE44077 were searched, and the differentially expressed genes (DEGs) were obtained using GEO2R. Functional and pathway enrichment analyses were performed for the DEGs using DAVID database. Protein-protein interaction (PPI) network was plotted with STRING and visualized by Cytoscape. Module analysis of the PPI network was done through MCO

SUBMITTER: Tu H 

PROVIDER: S-EPMC6976355 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature