Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.

ABSTRACT:

Background

Lung cancer is the most common cause of cancer-related death among all human cancers and the five-year survival rates are only 23%. The precise molecular mechanisms of non-small cell lung cancer (NSCLC) are still unknown. The aim of this study was to identify and validate the key genes with prognostic value in lung tumorigenesis.

Methods

Four GEO datasets were obtained from the Gene Expression Omnibus (GEO) database. Common differentially expressed genes (DEGs) were selected for Kyoto Encyclopedia of Genes and Genomes pathway analysis and Gene Ontology enrichment analysis. Protein-protein interaction (PPI) networks were constructed using the STRING database and visualized by Cytoscape software and Molecular Complex Detection (MCODE) were utilized to PPI network to

SUBMITTER: Wang L 

PROVIDER: S-EPMC7113067 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature