Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis

Molecular Medicine Reports
Pushuai WenJing Gao

Abstract

Small cell lung cancer (SCLC) is one of the highly malignant tumors and a serious threat to human health. The aim of the present study was to explore the underlying molecular mechanisms of SCLC. mRNA microarray datasets GSE6044 and GSE11969 were downloaded from Gene Expression Omnibus database, and the differentially expressed genes (DEGs) between normal lung and SCLC samples were screened using GEO2R tool. Functional and pathway enrichment analyses were performed for common DEGs using the DAVID database, and the protein‑protein interaction (PPI) network of common DEGs was constructed by the STRING database and visualized with Cytoscape software. In addition, the hub genes in the network and module analysis of the PPI network were performed using CentiScaPe and plugin Molecular Complex Detection. Finally, the mRNA expression levels of hub genes were validated in the Oncomine database. A total of 150 common DEGs with absolute fold‑change >0.5, including 66 significantly downregulated DEGs and 84 upregulated DEGs were obtained. The Gene Ontology term enrichment analysis suggested that common upregulated DEGs were primarily enriched in biological processes (BPs), including 'cell cycle', 'cell cycle phase', 'M phase', 'cell cycle p...Continue Reading

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Datasets Mentioned

BETA
GSE11969
GSE6044

Methods Mentioned

BETA
biopsy

Software Mentioned

MCODE
CentiScaPe
Molecular Complex Detection ( MCODE
GEO2R
Oncomine
gplots
Search Tool for the
DAVID
STRING
Cytoscape

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