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Translational research in ovarian cancer: A must

  • Thomas C. Hamilton
  • , D. C. Connolly
  • , A. Y. Nikitin
  • , K. Garson
  • , B. C. Vanderhyden
  • Fox Chase Cancer Center
  • Cornell University
  • University of Ottawa

Research output: Contribution to journal › Review article › peer-review

10 Scopus citations

Abstract

Ovarian cancer discovered at late clinical stage continues to be a fatal disease. It seems self-evident that if we are to make an impact on the survival of advanced ovarian cancer patients, we must begin to understand the disease more completely. This should improve the diagnosis of the disease at an early stage when it is curable by surgery or develop better/targeted drug treatments. Modern molecular techniques have provided insights into many of the molecular changes that occur when ovarian cancer develops, but one must understand that changes seen in this way can only be said to correlate with disease. It would be helpful to have a way to test candidate changes for causality. In many cancer types, genetically engineered animals are beginning to be used for this purpose and as a means to study the disease process in greater detail. To date, there has been no way to study ovarian cancer by this means. Efforts to model human ovarian cancer have been delayed by a general lack of understanding both of the disease process in humans and of the cells widely believed to be the precursors of epithelial ovarian cancer, the ovarian surface epithelial (OSE) cells. Here, we present recent progress in modeling ovarian cancer using genetically modified mice.

Original languageEnglish
Pages (from-to)220-230
Number of pages11
JournalInternational Journal of Gynecological Cancer
Volume13 Suppl 2
Issue numberSUPPL. 2
DOIs
StatePublished - Nov 2003

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Etiology
  • Models
  • Surface epithelium

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