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Novel estrogen-related genes and potential biomarkers of ovarian endometriosis identified by differential expression analysis.
J. Steroid Biochem. Mol. Biol. 125, 231-242 (2011)
In the search for novel biomarkers of endometriosis, we selected 152 genes from the GeneLogic database based on results of genome-wide expression analysis of ovarian endometriosis, plus 20 genes related to estrogen metabolism and action. We then performed low-density array analysis of these 172 genes on 11 ovarian endometriosis samples and 9 control endometrium samples. Principal component analysis of the gene expression levels showed clear separation between the endometriosis and control groups. We identified 78 genes as differentially expressed. Based on Ingenuity pathway analysis, these differentially expressed genes were arranged into groups according to biological function. These analyses revealed that 32 differentially expressed genes are estrogen related, 23 of which have not been reported previously in connection with endometriosis. Functional annotation showed that 25 and 22 genes are associated with the biological terms "secreted" and "extracellular region", respectively. Differential expression of 4 out of 5 genes related to estrogen metabolism and action (ESR1, ESR2, PGR and BGN) was also confirmed by immunohistochemistry. Our study thus reveals differential expression of several genes that have not previously been associated with endometriosis and that encode potential novel biomarkers and drug targets.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Steroids; Biglycan; Low-density arrays; Gene expression; Diagnostic markers; Drug targets; Pathway analysis
ISSN (print) / ISBN
0960-0760
e-ISSN
0960-0760
Quellenangaben
Volume: 125,
Issue: 3-5,
Pages: 231-242
Publisher
Elsevier
Publishing Place
Oxford, UK
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Molekulare Endokrinologie und Metabolismus (MEM)