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This version published online on September 29, 2005
Endocrinology, doi:10.1210/en.2005-0426
A more recent version of this article appeared on January 1, 2006
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Submitted on April 12, 2005
Accepted on September 17, 2005

Transcriptional Characterizations of Differences between Eutopic and Ectopic Endometrium

Yan Wu PhD, André Kajdacsy-Balla MD, PhD, Estil Strawn MD, Zainab Basir MD, Gloria Halverson MD, Parthav Jailwala MS, Yuedong Wang PhD, Xujing Wang PhD, Soumitra Ghosh MD, PhD, and Sun-Wei Guo PhD*

Dept. of Pediatrics, Medical College of Wisconsin, Milwaukee, WI 53226; Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612; Dept. of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI 53226; Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226; Dept. of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106

* To whom correspondence should be addressed. E-mail: swguo{at}mail.mcw.edu.

Endometriosis, defined as the presence of endometrial glandular and stromal cells outside the uterine cavity, is a common gynecological disease with poorly understood pathogenesis. Using laser capture microdissection and a cDNA microarray with 9,600 genes/ESTs, we have conducted a comprehensive profiling of gene expression differences between the ectopic and eutopic endometrium taken from 12 women with endometriosis adjusted for menstrual phase and the location of the lesions. With dye-swapping and replicated arrays, we found 904 genes/ESTs that are differentially expressed. We validated the gene expression using real-time RT-PCR. We found that the expression patterns of these genes/ESTs correctly classified the 12 patients into ovarian and non-ovarian endometriosis. We identified gene clusters that are location-specific. In addition, we identified several biological themes using Expression Analysis Systematic Explorer (EASE). Finally, we identified 79 pathways with over 100 genes with known functions, which include oxidative stress, focal adhesion, Wnt signaling, and MAPK signaling. The identification of these genes and their associated pathways provides new insight. Our findings will stimulate future investigations on molecular genetic mechanisms underlying the pathogenesis of endometriosis.
Key words: Classification • endometriosis • endometrium • gene expression • microarray • pathway • transcription




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