Prognostic significance of TOP2A in non-small cell lung cancer revealed by bioinformatic analysis.

ABSTRACT:

Background

Lung cancer has been a common malignant tumor with a leading cause of morbidity and mortality, current molecular targets are woefully lacking comparing to the highly progressive cancer. The study is designed to identify new prognostic predictors and potential gene targets based on bioinformatic analysis of Gene Expression Omnibus (GEO) database.

Methods

Four cDNA expression profiles GSE19188, GSE101929, GSE18842 and GSE33532 were chosen from GEO database to analyze the differently expressed genes (DEGs) between non-small cell lung cancer (NSCLC) and normal lung tissues. After the DEGs functions were analyzed, the protein-protein interaction network (PPI) of DEGs were constructed, and the core gene in the network which has high connectivity degree with other genes

SUBMITTER: Ma W 

PROVIDER: S-EPMC6737627 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature