Intraoperative imaging in ovarian cancer: Fact or fiction?

Lucia M.A. Crane, Marleen Van Oosten, Rick G. Pleijhuis, Arash Motekallemi, Sean C. Dowdy, William A. Cliby, Ate G.J. Van Der Zee, Gooitzen M. Van Dam

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Tumor-targeted fluorescence imaging for cancer diagnosis and treatment is an evolving field of research that is on the verge of clinical implementation. As each tumor has its unique biologic profile, selection of the most promising targets is essential. In this review, we focus on target finding in ovarian cancer, a disease in which fluorescence imaging may be of value in both adequate staging and in improving cytoreductive efforts, and as such may have a beneficial effect on prognosis. Thus far, tumor-targeted imaging for ovarian cancer has been applied only in animal models. For clinical implementation, the five most prominent targets were identified: folate receptor α, vascular endothelial growth factor, epidermal growth factor receptor, chemokine receptor 4, and matrix metalloproteinase. These targets were selected based on expression rates in ovarian cancer, availability of an antibody or substrate aimed at the target approved by the Food and Drug Administration, and the likelihood of translation to human use. The purpose of this review is to present requirements for intraoperative imaging and to discuss possible tumor-specific targets for ovarian cancer, prioritizing for targets with substrates ready for introduction into the clinic.

Original languageEnglish (US)
Pages (from-to)248-257
Number of pages10
JournalMolecular Imaging
Volume10
Issue number4
DOIs
StatePublished - Jul 2011

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Medicine
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics

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  • Cite this

    Crane, L. M. A., Van Oosten, M., Pleijhuis, R. G., Motekallemi, A., Dowdy, S. C., Cliby, W. A., Van Der Zee, A. G. J., & Van Dam, G. M. (2011). Intraoperative imaging in ovarian cancer: Fact or fiction? Molecular Imaging, 10(4), 248-257. https://doi.org/10.2310/7290.2011.00004