Format

Send to:

Choose Destination
See comment in PubMed Commons below
J Mol Neurosci. 2013 Jun;50(2):324-32. doi: 10.1007/s12031-013-9981-z. Epub 2013 Mar 15.

Screening key genes and pathways in glioma based on gene set enrichment analysis and meta-analysis.

Author information

  • 1Department of Neurology, First Affiliated Hospital, Guangxi Medical University, No. 22, Shuang Yong Lu, Nanning 530021, Guangxi, China.

Abstract

Glioma is a highly invasive, rapidly spreading form of brain cancer, while its etiology is largely unknown. A few recently reported studies have been developed using gene expression microarrays of glioma to identify differentially expressed genes from several to hundreds. This study was designed to analyze vast amounts of glioma-related microarray data and screen the key genes and pathways related to the development and progression of glioma. We used gene set enrichment analysis (GSEA) and meta-analysis of seven included studies after standardized microarray preprocessing, which increased concordance between these gene datasets. After GSEA, there were 14 mixing pathways including 13 up- and 1 down-regulated pathways. Based on the meta-analysis, 268 significant genes were screened out (Pā€‰<ā€‰0.05); there were 249 genes identified by Kyoto Encyclopedia of Genes and Genomes (KEGG), and 27 KEGG pathways closely related to the set of the imported genes were identified. At last, six consistent pathways and key genes in these pathways related to glioma were obtained with combined GSEA and meta-analysis. The gene pathways that we identified could provide insight concerning the development of glioma. Further studies are needed to determine the biological function for the positive genes.

PMID:
23494636
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Springer
    Loading ...
    Write to the Help Desk