Literature DB >> 16515584

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

A P G Crijns1, E W Duiker, S de Jong, P H B Willemse, A G J van der Zee, E G E de Vries.   

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.

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Year:  2006        PMID: 16515584     DOI: 10.1111/j.1525-1438.2006.00503.x

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  15 in total

Review 1.  Modern trends into the epidemiology and screening of ovarian cancer. Genetic substrate of the sporadic form.

Authors:  Maria Koutsaki; Apostolos Zaravinos; Demetrios A Spandidos
Journal:  Pathol Oncol Res       Date:  2011-12-09       Impact factor: 3.201

2.  The role of the PTEN/PI3K/Akt pathway on prognosis in epithelial ovarian cancer: a meta-analysis.

Authors:  Jing Cai; Linjuan Xu; Huijuan Tang; Qiang Yang; Xiaoqing Yi; Yan Fang; Ying Zhu; Zehua Wang
Journal:  Oncologist       Date:  2014-04-09

3.  [Radiological diagnostics of ovarian cancer].

Authors:  M Meissnitzer; R Forstner
Journal:  Radiologe       Date:  2011-07       Impact factor: 0.635

4.  Cisplatin and PI3kinase inhibition decrease invasion and migration of human ovarian carcinoma cells and regulate matrix-metalloproteinase expression.

Authors:  Amer K Karam; Chintda Santiskulvong; Mirela Fekete; Sara Zabih; Carol Eng; Oliver Dorigo
Journal:  Cytoskeleton (Hoboken)       Date:  2010-08

5.  Role of chemokine network in the development and progression of ovarian cancer: a potential novel pharmacological target.

Authors:  Federica Barbieri; Adriana Bajetto; Tullio Florio
Journal:  J Oncol       Date:  2009-12-14       Impact factor: 4.375

6.  Identification of genes and pathways associated with cytotoxic T lymphocyte infiltration of serous ovarian cancer.

Authors:  N Leffers; R S N Fehrmann; M J M Gooden; U R J Schulze; K A Ten Hoor; H Hollema; H M Boezen; T Daemen; S de Jong; H W Nijman; A G J van der Zee
Journal:  Br J Cancer       Date:  2010-07-27       Impact factor: 7.640

Review 7.  Current status of signal transduction modulators in the treatment of gynecologic malignancies.

Authors:  Shay Ashouri; Agustin A Garcia
Journal:  Curr Treat Options Oncol       Date:  2007-12

8.  Protein kinases controlling PCNA and p53 expression in human ovarian cells.

Authors:  Alexander V Sirotkin; Dmitriy Ovcharenko; Andrej Benco; Milos Mlyncek
Journal:  Funct Integr Genomics       Date:  2008-12-09       Impact factor: 3.410

9.  The chemiluminescence based Ziplex automated workstation focus array reproduces ovarian cancer Affymetrix GeneChip expression profiles.

Authors:  Michael C J Quinn; Daniel J Wilson; Fiona Young; Adam A Dempsey; Suzanna L Arcand; Ashley H Birch; Paulina M Wojnarowicz; Diane Provencher; Anne-Marie Mes-Masson; David Englert; Patricia N Tonin
Journal:  J Transl Med       Date:  2009-07-06       Impact factor: 5.531

Review 10.  Ovarian cancer: pathology, biology, and disease models.

Authors:  Daniel G Rosen; Gong Yang; Guangzhi Liu; Imelda Mercado-Uribe; Bin Chang; Xue Sherry Xiao; Jingfang Zheng; Feng-Xia Xue; Jinsong Liu
Journal:  Front Biosci (Landmark Ed)       Date:  2009-01-01
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