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Molecular prognostic markers in ovarian cancer: toward patient-tailored therapy
  1. A. P.G. Crijns*,
  2. E. W. Duiker,
  3. S. De Jong,
  4. P. H.B. Willemse,
  5. A. G.J. Van Der Zee* and
  6. E. G.E. De Vries
  1. * Departments of Gynecological Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
  2. Departments of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
  1. Address correspondence and reprint requests to: Elisabeth de Vries, MD, PhD, Department of Medical Oncology, University Medical Center Groningen, P.O. Box 30.001, 9700 RB Groningen, The Netherlands. Email: e.g.e.de.vries{at}int.umcg.nl

Abstract

In ovarian cancer the ceiling seems to be reached with chemotherapeutic drugs. Therefore a paradigm shift is needed. Instead of treating all patients according to standard guidelines, individualized molecular targeted treatment should be aimed for. This means that molecular profiles of the distinct ovarian cancer subtypes should be established. Until recently, most studies trying to identify molecular targets were single-marker studies. The prognostic role of key components of apoptotic and prosurvival pathways such as p53, EGFR, and HER2 has been extensively studied because resistance to chemotherapy is often caused by failure of tumor cells to go into apoptosis. However, it is more than likely that different ovarian cancer subtypes with extensive molecular heterogeneity exist. Therefore, exploration of the potential of specific tumor-targeted therapy, based on expression of a prognostic tumor profile, may be of interest. Recently, new profiling techniques, such as DNA and protein microarrays, have enabled high-throughput screening of tumors. In this review an overview of the current status of prognostic marker and molecular targeting research in ovarian cancer, including microarray studies, is presented.

  • microarrays
  • molecular targeted agents
  • ovarian cancer
  • prognostic markers
  • translational research

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