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Aging and Development of Ovarian Epithelial Carcinoma: The Relevance of Changes in Ovarian Stromalandrogen Production

  • Margaret A. Thompson
  • Mark D. Adelson
Chapter
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 330)

Abstract

There are three types of ovarian neoplasms: (1) Those which arise from the surface epithelium covering the ovary. (2) Those which are derived from the cortical mesenchymal stroma. (3) Those which develop from germ cells. Our laboratory has concentrated its effort on solid tumors in women of the first type, epithelial, which has the highest incidence and is the most lethal. Development of these tumors is correlated with aging in the ovary. They form primarily during the perimenopause. Among women, 64% of the total ovarian cancer cases are diagnosed between ages 41 and 60 years1. Our approach has been to establish stable tumor cell lines from patient specimens for use as in vitro models. We have investigated the response of these cells to steroid hormones because we hypothesized that these tumors retain some metabolic characteristics which are specific to the ovary. Our data demonstrate that testosterone and androstenedione, but not cortisol, inhibited proliferation of ovarian tumor cells in vitro by a mechanism which was independent of steroid receptors. These androgens are routinely synthesized and secreted by human ovary, and in the menopausal ovary the primary source of androgen is the stromal cell compartment. Because a relatively high local concentration of ovarian androgen exists in vivo, it is possible that androgen may suppress ovarian epithelial carcinoma in women as well. If it does, then development of this carcinoma may be facilitated when the postmenopausal ovary fails to produce adequate androgen during postreproductive years.

Keywords

Ovarian Cancer Ovarian Carcinoma Ovarian Cancer Cell Ovarian Cancer Cell Line Borderline Tumor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Margaret A. Thompson
    • 1
  • Mark D. Adelson
    • 1
  1. 1.Department of Obstetrics and GynecologyS.U.N.Y. Health Science CenterSyracuseUSA

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