Literature DB >> 17302189

Prevention and early detection of ovarian cancer: mission impossible?

Robert C Bast1, Molly Brewer, Changping Zou, Mary A Hernandez, Mary Daley, Robert Ozols, Karen Lu, Zhen Lu, Donna Badgwell, Gordon B Mills, Steven Skates, Zhen Zhang, Dan Chan, Anna Lokshin, Yinhua Yu.   

Abstract

Epithelial ovarian cancer is neither a common nor a rare disease. In the United States, the prevalence of ovarian cancer in postmenopausal women (1 in 2,500) significantly affects strategies for prevention and detection. If chemoprevention for ovarian cancer were provided to all women over the age of 50, side effects would have to be minimal in order to achieve an acceptable ratio of benefit to risk. This ratio might be improved by identifying subsets of individuals at increased risk or by bundling prevention of ovarian cancer with treatment for other more prevalent conditions. Approximately 10% of ovarian cancers are familial and relate to mutations of BRCA1, BRCA2, and mismatch repair genes. More subtle genetic factors are being sought in women with apparently sporadic disease. Use of oral contraceptive agents for as long as 5 years decreases the risk of ovarian cancer in later life by 50%. In one study, fenretinide (4-HPR) delayed development of ovarian cancer in women at increased risk of developing breast and ovarian cancer. Accrual to confirmatory studies has been prohibitively slow and prophylactic oophorectomy is recommended for women at increased genetic risk. Vaccines may have a role for prevention of several different cancers. Breast and ovarian cancers express mucins that could serve as targets for vaccines to prevent both cancers. Early detection of ovarian cancer requires a strategy with high sensitivity (> 75% for stage I disease) and very high specificity (> 99.6%) to achieve a positive predictive value of 10%. Transvaginal sonography (TVS) has achieved these values in some studies, but is limited by the cost of annual screening in a general population. Two-stage strategies that incorporate both serum markers and TVS promise to be more cost-effective. An algorithm has been developed that calculates risk of ovarian cancer based on serial CA125 values and refers patients at highest risks for TVS. Use of the algorithm is currently being evaluated in a trial with 200,000 women in the United Kingdom that will critically test the ability of a two-stage screening strategy to improve survival in ovarian cancer. Whatever the outcome, additional serum markers will be required to detect all patients in an initial phase of screening. More than 30 serum markers have been evaluated alone and in combination with CA125. Recent candidates include: HE4, mesothelin, M-CSF, osteopontin, kallikrein(s) and soluble EGF receptor. Proteomic approaches have been used to define a distinctive pattern of peaks on mass spectroscopy or to identify a limited number of critical markers that can be assayed by more conventional methods. Several groups are placing known markers on multiplex platforms to permit simultaneous assay of multiple markers with very small volumes of serum. Mathematical techniques are being developed to analyze combinations of marker levels to improve sensitivity and specificity. In the future, serum markers should improve the sensitivity of detecting recurrent disease as well as facilitate earlier detection of ovarian cancer.

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Year:  2007        PMID: 17302189     DOI: 10.1007/978-3-540-37696-5_9

Source DB:  PubMed          Journal:  Recent Results Cancer Res        ISSN: 0080-0015


  34 in total

1.  Preclinical evaluation of Mab CC188 for ovarian cancer imaging.

Authors:  M Xu; M P Rettig; G Sudlow; B Wang; W J Akers; D Cao; D G Mutch; J F DiPersio; S Achilefu
Journal:  Int J Cancer       Date:  2012-01-11       Impact factor: 7.396

2.  Cancer Risk Awareness and Concern among Women with a Family History of Breast or Ovarian Cancer.

Authors:  M Robyn Andersen; Jason Thorpe; Diana S M Buist; J David Beatty; Kate Watabayashi; Nancy Hanson; Robert Resta; Jessica Chubak; Nicole Urban
Journal:  Behav Med       Date:  2014-11-03       Impact factor: 3.104

Review 3.  Translational application of epigenetic alterations: ovarian cancer as a model.

Authors:  Marie E Maradeo; Paul Cairns
Journal:  FEBS Lett       Date:  2011-03-12       Impact factor: 4.124

4.  Racial differences in stage at diagnosis and survival from epithelial ovarian cancer: a fundamental cause of disease approach.

Authors:  Seijeoung Kim; Therese A Dolecek; Faith G Davis
Journal:  Soc Sci Med       Date:  2010-04-22       Impact factor: 4.634

5.  Differential methylation profile of ovarian cancer in tissues and plasma.

Authors:  Anatoliy Melnikov; Denise Scholtens; Andrew Godwin; Victor Levenson
Journal:  J Mol Diagn       Date:  2008-12-12       Impact factor: 5.568

6.  The role of activin A and Akt/GSK signaling in ovarian tumor biology.

Authors:  Thuy-Vy Do; Lena A Kubba; Monica Antenos; Alfred W Rademaker; Charles D Sturgis; Teresa K Woodruff
Journal:  Endocrinology       Date:  2008-05-01       Impact factor: 4.736

7.  The utility of serum human epididymis protein 4 (HE4) in patients with a pelvic mass.

Authors:  Martina Montagnana; Giuseppe Lippi; Orazio Ruzzenente; Valentina Bresciani; Elisa Danese; Silvia Scevarolli; Gian Luca Salvagno; Silvia Giudici; Massimo Franchi; Gian Cesare Guidi
Journal:  J Clin Lab Anal       Date:  2009       Impact factor: 2.352

Review 8.  New insights into the pathogenesis of serous ovarian cancer and its clinical impact.

Authors:  Keren Levanon; Christopher Crum; Ronny Drapkin
Journal:  J Clin Oncol       Date:  2008-10-14       Impact factor: 44.544

9.  The detection, treatment, and biology of epithelial ovarian cancer.

Authors:  Jennifer Aa Gubbels; Nick Claussen; Arvinder K Kapur; Joseph P Connor; Manish S Patankar
Journal:  J Ovarian Res       Date:  2010-03-29       Impact factor: 4.234

10.  The utility and cost of routine follow-up procedures in the surveillance of ovarian and primary peritoneal carcinoma: a 16-year institutional review.

Authors:  N B Rettenmaier; C R Rettenmaier; T Wojciechowski; L N Abaid; J V Brown; J P Micha; B H Goldstein
Journal:  Br J Cancer       Date:  2010-11-02       Impact factor: 7.640

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