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Molecular prognostic markers in ovarian cancer: toward patient-tailored therapy.
- Source :
-
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society [Int J Gynecol Cancer] 2006 Jan-Feb; Vol. 16 Suppl 1, pp. 152-65. - Publication Year :
- 2006
-
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.
- Subjects :
- Antineoplastic Agents therapeutic use
ErbB Receptors physiology
Female
Genetic Techniques
Humans
Neoplasm Staging
Neovascularization, Pathologic genetics
Neovascularization, Pathologic physiopathology
Oligonucleotide Array Sequence Analysis
Ovarian Neoplasms diagnosis
Ovarian Neoplasms drug therapy
Ovary blood supply
Phosphatidylinositol 3-Kinases physiology
Prognosis
Proto-Oncogene Proteins c-akt physiology
Apoptosis physiology
Biomarkers, Tumor analysis
Ovarian Neoplasms genetics
Ovarian Neoplasms physiopathology
Signal Transduction physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1048-891X
- Volume :
- 16 Suppl 1
- Database :
- MEDLINE
- Journal :
- International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
- Publication Type :
- Academic Journal
- Accession number :
- 16515584
- Full Text :
- https://doi.org/10.1111/j.1525-1438.2006.00503.x