Literature DB >> 22680617

Estimating survival rates after ovarian cancer among women tested for BRCA1 and BRCA2 mutations.

S A Narod1, J R K Moody, B Rosen, I Fan, A Risch, P Sun, J R McLaughlin.   

Abstract

Several studies have reported that women with ovarian cancer and a BRCA1 or BRCA2 mutations have better survival than women with ovarian cancer and no mutation. Potential reasons for this include possible differences in histologic subtype, stage, grade and response to chemotherapy, but some of the difference in survival may be due to systematic bias, i.e. a difference in survival rates for women who do and who do not undergo genetic testing. We estimated the survival rate in 1423 ovarian cancer patients from Ontario who had genetic testing and compared this with the survival rate for all 3367 ovarian cancer patients from the province from whom the tested sample was derived. Tested women had a 10-year survival of 54.5%, compared to 35.8% for all patients in the province. We evaluated the extent to which three different methods of adjustment eliminated the observed difference. The adjusted rates for the tested cohort were closer to the provincial average, but each adjustment method resulted in a modest over-estimate of 10-year survival, ranging from 6.1% to 10.0%. The mortality advantage for tested women was due, in part, to a lower than expected mortality rate of tested women in the period following genetic testing.
© 2012 John Wiley & Sons A/S.

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Year:  2012        PMID: 22680617     DOI: 10.1111/j.1399-0004.2012.01906.x

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  8 in total

1.  Telomere length and mortality following a diagnosis of ovarian cancer.

Authors:  Joanne Kotsopoulos; Jennifer Prescott; Immaculata De Vivo; Isabel Fan; John Mclaughlin; Barry Rosen; Harvey Risch; Ping Sun; Steven A Narod
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-08-26       Impact factor: 4.254

2.  Ovarian cancer survival by tumor dominance, a surrogate for site of origin.

Authors:  Anna Ivanova; Anneli Loo; Shelley Tworoger; Christopher P Crum; Isabel Fan; John R McLaughlin; Barry Rosen; Harvey Risch; Steven A Narod; Joanne Kotsopoulos
Journal:  Cancer Causes Control       Date:  2015-03-13       Impact factor: 2.506

3.  Factors influencing ovulation and the risk of ovarian cancer in BRCA1 and BRCA2 mutation carriers.

Authors:  Joanne Kotsopoulos; Jan Lubinski; Jacek Gronwald; Cezary Cybulski; Rochelle Demsky; Susan L Neuhausen; Charmaine Kim-Sing; Nadine Tung; Susan Friedman; Leigha Senter; Jeffrey Weitzel; Beth Karlan; Pal Moller; Ping Sun; Steven A Narod
Journal:  Int J Cancer       Date:  2014-12-18       Impact factor: 7.396

4.  Living With Genetic Vulnerability: a Life Course Perspective.

Authors:  Rebekah J Hamilton; Nancy A Innella; Dawn T Bounds
Journal:  J Genet Couns       Date:  2015-09-02       Impact factor: 2.537

5.  Cancer risk assessment using genetic panel testing: considerations for clinical application.

Authors:  Susan Hiraki; Erica S Rinella; Freya Schnabel; Ruth Oratz; Harry Ostrer
Journal:  J Genet Couns       Date:  2014-03-07       Impact factor: 2.537

6.  Clinical features and outcomes of germline mutation BRCA1-linked versus sporadic ovarian cancer patients.

Authors:  Agnieszka Synowiec; Gabriel Wcisło; Lubomir Bodnar; Bohdan Górski; Jolanta Szenajch; Katarzyna Szarlej-Wcisło; Cezary Szczylik
Journal:  Hered Cancer Clin Pract       Date:  2016-01-08       Impact factor: 2.857

7.  Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer.

Authors:  Shana J Kim; Barry Rosen; Isabel Fan; Anna Ivanova; John R McLaughlin; Harvey Risch; Steven A Narod; Joanne Kotsopoulos
Journal:  Br J Cancer       Date:  2017-02-16       Impact factor: 7.640

Review 8.  Hereditary breast cancer: the era of new susceptibility genes.

Authors:  Paraskevi Apostolou; Florentia Fostira
Journal:  Biomed Res Int       Date:  2013-03-21       Impact factor: 3.411

  8 in total

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