Molecular prognostic markers in ovarian cancer: toward patient-tailored therapy

APG Crijns, EW Duiker, S de Jong, PHB Willemse, AGJ van der Zee, EGE de Vries*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

39 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)152-165
Number of pages14
JournalInternational Journal of Gynecological Cancer
Volume16
Publication statusPublished - 2006

Keywords

  • microarrays
  • molecular targeted agents
  • ovarian cancer
  • prognostic markers
  • translational research
  • DIFFERENTIALLY EXPRESSED GENES
  • PROTEIN-KINASE-B
  • COMPARATIVE GENOMIC HYBRIDIZATION
  • PHASE-I TRIAL
  • NF-KAPPA-B
  • APOPTOSIS-INDUCING LIGAND
  • NECROSIS-FACTOR-ALPHA
  • CARCINOMA CELL-LINE
  • BREAST-CANCER
  • CDNA MICROARRAY

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