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Gene expression profiling predicts a three-gene expression signature of endometrial adenocarcinoma in a rat model
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Life Sciences.
2009 (English)In: Cancer Cell International, ISSN 1475-2867, Vol. 9, Article Number: 12- p.Article in journal (Refereed) Published
Abstract [en]

 

Background: In the Western world, endometrial cancers are the most common gynaecological neoplastic disorders among women. Initial symptoms are often vague and may be confused with several other conditions or disorders. Thus, there is a need for an easy and reliable diagnostic tool. The objective of this work was to identify a gene expression signature specific for endometrial adenocarcinomas to be used for testing potential endometrial biomarkers.

Results: Changes in expression between endometrial adenocarcinomas and non-/pre-malignant endometrium from the BDII EAC rat model were compared in cDNA microarray assays. By employing classification analysis (Weka) on the expression data from approximately 5600 cDNA clones and TDT analysis on genotype data, we identified a three-gene signature (Gpx3, Bgn and Tgfb3). An independent analysis of differential expression, revealed a total of 354 cDNA clones with significant changes in expression. Among the 10 best ranked clones, Gpx3, Bgn and Tgfb3 were found.

 

Conclusion: Taken together, we present a unique data set of genes with different expression patterns between EACs and non-/pre-malignant endometrium, and specifically we found three genes that were confirmed in two independent analyses. These three genes are candidates for an EAC signature and further evaluations of their involvement in EAC tumorigenesis will be undertaken.

Place, publisher, year, edition, pages
BioMed Central, 2009. Vol. 9, Article Number: 12- p.
National Category
Natural Sciences
Research subject
Natural sciences
Identifiers
URN: urn:nbn:se:his:diva-3296DOI: 10.1186/1475-2867-9-12ISI: 000273352000001PubMedID: 19426485Scopus ID: 2-s2.0-66749132843OAI: oai:DiVA.org:his-3296DiVA: diva2:227157
Available from: 2009-07-09 Created: 2009-07-09 Last updated: 2014-02-07Bibliographically approved

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Karlsson, SandraOlsson, BjörnKlinga-Levan, Karin
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