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Comparative Gene Expression Analysis of Ovarian Carcinoma and Normal Ovarian Epithelium by Serial Analysis of Gene Expression

¹ Department of Pharmacology and Therapeutics, School of Medicine, University of Liverpool, Liverpool, United Kingdom; ² Department of Human Genetics, Graduate School of Public Health, ³ University of Pittsburgh Cancer Institute, School of Medicine, and ⁴ Department of Obstetrics and Gynecology, Magee-Women's Research Institute, University of Pittsburgh, Pittsburgh, Pennsylvania; and ⁵ Institute for Human and Machine Cognition, University of West Florida, Pensacola, Florida

Requests for reprints: David G. Peters, Department of Pharmacology and Therapeutics, University of Liverpool, The Sherrington Buildings, Ashton Street, Liverpool L69 3GE, United Kingdom. Phone: 44-151-794-5477. E-mail: david.peters{at}liverpool.ac.uk

Despite the poor prognosis of ovarian cancer and the importance of early diagnosis, there are no reliable noninvasive biomarkers for detection in the early stages of disease. Therefore, to identify novel ovarian cancer markers with potential utility in early-stage screening protocols, we have undertaken an unbiased and comprehensive analysis of gene expression in primary ovarian tumors and normal human ovarian surface epithelium (HOSE) using Serial Analysis of Gene Expression (SAGE). Specifically, we have generated SAGE libraries from three serous adenocarcinomas of the ovary and, using novel statistical tools, have compared these to SAGE data derived from two pools of normal HOSE. Significantly, in contrast to previous SAGE-based studies, our normal SAGE libraries are not derived from cultured cell lines. We have also compared our data with publicly available SAGE data obtained from primary tumors and "normal" HOSE-derived cell lines. We have thus identified several known and novel genes whose expressions are elevated in ovarian cancer. These include but are not limited to CLDN3, WFDC2, FOLR1, COL18A1, CCND1, and FLJ12988. Furthermore, we found marked differences in gene expression patterns in primary HOSE tissue compared with cultured HOSE. The use of HOSE tissue as a control for these experiments, along with hierarchical clustering analysis, identified several potentially novel biomarkers of ovarian cancer, including TACC3, CD9, GNAI2, AHCY, CCT3, and HMGA1. In summary, these data identify several genes whose elevated expressions have not been observed previously in ovarian cancer, confirm the validity of several existing markers, and provide a foundation for future studies in the understanding and management of this disease.

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