Literature DB >> 24638001

Underestimation of risk of a BRCA1 or BRCA2 mutation in women with high-grade serous ovarian cancer by BRCAPRO: a multi-institution study.

Molly S Daniels1, Sheri A Babb, Robin H King, Diana L Urbauer, Brittany A L Batte, Amanda C Brandt, Christopher I Amos, Adam H Buchanan, David G Mutch, Karen H Lu.   

Abstract

PURPOSE: Identification of the 10% to 15% of patients with ovarian cancer who have germline BRCA1 or BRCA2 mutations is important for management of both patients and relatives. The BRCAPRO model, which estimates mutation likelihood based on personal and family cancer history, can inform genetic testing decisions. This study's purpose was to assess the accuracy of BRCAPRO in women with ovarian cancer.
METHODS: BRCAPRO scores were calculated for 589 patients with ovarian cancer referred for genetic counseling at three institutions. Observed mutations were compared with those predicted by BRCAPRO. Analysis of variance was used to assess factors impacting BRCAPRO accuracy.
RESULTS: One hundred eighty (31%) of 589 patients with ovarian cancer tested positive. At BRCAPRO scores less than 40%, more mutations were observed than expected (93 mutations observed v 34.1 mutations expected; P < .001). If patients with BRCAPRO scores less than 10% had not been tested, 51 (28%) of 180 mutations would have been missed. BRCAPRO underestimated the risk for high-grade serous ovarian cancers but overestimated the risk for other histologies (P < .001), underestimation increased as age at diagnosis decreased (P = .02), and model performance varied by institution (P = .02).
CONCLUSION: Patients with ovarian cancer classified as low risk by BRCAPRO are more likely to test positive than predicted. The risk of a mutation in patients with low BRCAPRO scores is high enough to warrant genetic testing. This study demonstrates that assessment of family history by a validated model cannot effectively target testing to a high-risk ovarian cancer patient population, which strongly supports the recommendation to offer BRCA1/BRCA2 genetic testing to all patients with high-grade serous ovarian cancer regardless of family history.

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Year:  2014        PMID: 24638001      PMCID: PMC4876344          DOI: 10.1200/JCO.2013.50.6055

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  27 in total

1.  Comparing poly (ADP-ribose) polymerase inhibitors with standard chemotherapy in BRCA-mutated, recurrent ovarian cancer: lessons learned from a negative trial.

Authors:  Panagiotis A Konstantinopoulos; Stephen A Cannistra
Journal:  J Clin Oncol       Date:  2011-12-27       Impact factor: 44.544

2.  Characteristics of women with ovarian carcinoma who have BRCA1 and BRCA2 mutations not identified by clinical testing.

Authors:  Barbara M Norquist; Kathryn P Pennington; Kathy J Agnew; Maria I Harrell; Christopher C Pennil; Ming K Lee; Silvia Casadei; Anne M Thornton; Rochelle L Garcia; Tom Walsh; Elizabeth M Swisher
Journal:  Gynecol Oncol       Date:  2012-12-19       Impact factor: 5.482

3.  There is no decision to make: experiences and attitudes toward treatment-focused genetic testing among women diagnosed with ovarian cancer.

Authors:  B Meiser; M Gleeson; N Kasparian; K Barlow-Stewart; M Ryan; K Watts; D Menon; G Mitchell; K Tucker
Journal:  Gynecol Oncol       Date:  2011-10-26       Impact factor: 5.482

4.  Phase II, open-label, randomized, multicenter study comparing the efficacy and safety of olaparib, a poly (ADP-ribose) polymerase inhibitor, and pegylated liposomal doxorubicin in patients with BRCA1 or BRCA2 mutations and recurrent ovarian cancer.

Authors:  Stan B Kaye; Jan Lubinski; Ursula Matulonis; Joo Ern Ang; Charlie Gourley; Beth Y Karlan; Amit Amnon; Katherine M Bell-McGuinn; Lee-May Chen; Michael Friedlander; Tamar Safra; Ignace Vergote; Mark Wickens; Elizabeth S Lowe; James Carmichael; Bella Kaufman
Journal:  J Clin Oncol       Date:  2011-12-27       Impact factor: 44.544

5.  BRCA mutation frequency and patterns of treatment response in BRCA mutation-positive women with ovarian cancer: a report from the Australian Ovarian Cancer Study Group.

Authors:  Kathryn Alsop; Sian Fereday; Cliff Meldrum; Anna deFazio; Catherine Emmanuel; Joshy George; Alexander Dobrovic; Michael J Birrer; Penelope M Webb; Colin Stewart; Michael Friedlander; Stephen Fox; David Bowtell; Gillian Mitchell
Journal:  J Clin Oncol       Date:  2012-06-18       Impact factor: 44.544

6.  Keeping it simple: genetics referrals for all invasive serous ovarian cancers.

Authors:  R Demsky; J McCuaig; M Maganti; K J Murphy; B Rosen; S R Armel
Journal:  Gynecol Oncol       Date:  2013-05-22       Impact factor: 5.482

7.  Preventing future cancers by testing women with ovarian cancer for BRCA mutations.

Authors:  Janice S Kwon; Molly S Daniels; Charlotte C Sun; Karen H Lu
Journal:  J Clin Oncol       Date:  2009-10-19       Impact factor: 44.544

8.  Accuracy of the BRCAPRO model among women with bilateral breast cancer.

Authors:  Kaylene J Ready; Kristen J Vogel; Deann P Atchley; Kristine R Broglio; Kimberly K Solomon; Christopher Amos; Karen H Lu; Gabriel N Hortobagyi; Banu Arun
Journal:  Cancer       Date:  2009-02-15       Impact factor: 6.860

9.  Performance of prediction models for BRCA mutation carriage in three racial/ethnic groups: findings from the Northern California Breast Cancer Family Registry.

Authors:  Allison W Kurian; Gail D Gong; Esther M John; Alexander Miron; Anna Felberg; Amanda I Phipps; Dee W West; Alice S Whittemore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-31       Impact factor: 4.254

10.  BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families.

Authors:  Antonis C Antoniou; Francine Durocher; Paula Smith; Jacques Simard; Douglas F Easton
Journal:  Breast Cancer Res       Date:  2005-12-12       Impact factor: 6.466

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  8 in total

Review 1.  Epidemiology of Patients with Ovarian Cancer with and Without a BRCA1/2 Mutation.

Authors:  Elisabete Weiderpass; Jerzy E Tyczynski
Journal:  Mol Diagn Ther       Date:  2015-12       Impact factor: 4.074

2.  Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models.

Authors:  Danielle Braun; Malka Gorfine; Hormuzd A Katki; Argyrios Ziogas; Giovanni Parmigiani
Journal:  J Am Stat Assoc       Date:  2017-09-14       Impact factor: 5.033

Review 3.  Patient Counseling and Management of Symptoms During Olaparib Therapy for Recurrent Ovarian Cancer.

Authors:  Kathleen N Moore; Bradley J Monk
Journal:  Oncologist       Date:  2016-06-02

Review 4.  Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer.

Authors:  David D Bowtell; Steffen Böhm; Ahmed A Ahmed; Paul-Joseph Aspuria; Robert C Bast; Valerie Beral; Jonathan S Berek; Michael J Birrer; Sarah Blagden; Michael A Bookman; James D Brenton; Katherine B Chiappinelli; Filipe Correia Martins; George Coukos; Ronny Drapkin; Richard Edmondson; Christina Fotopoulou; Hani Gabra; Jérôme Galon; Charlie Gourley; Valerie Heong; David G Huntsman; Marcin Iwanicki; Beth Y Karlan; Allyson Kaye; Ernst Lengyel; Douglas A Levine; Karen H Lu; Iain A McNeish; Usha Menon; Steven A Narod; Brad H Nelson; Kenneth P Nephew; Paul Pharoah; Daniel J Powell; Pilar Ramos; Iris L Romero; Clare L Scott; Anil K Sood; Euan A Stronach; Frances R Balkwill
Journal:  Nat Rev Cancer       Date:  2015-11       Impact factor: 60.716

5.  Clinical utility of a self-administered questionnaire for assessment of hereditary gynecologic cancer.

Authors:  Kenta Masuda; Akira Hirasawa; Haruko Irie-Kunitomi; Tomoko Akahane; Arisa Ueki; Yusuke Kobayashi; Wataru Yamagami; Hiroyuki Nomura; Fumio Kataoka; Eiichiro Tominaga; Kouji Banno; Nobuyuki Susumu; Daisuke Aoki
Journal:  Jpn J Clin Oncol       Date:  2017-05-01       Impact factor: 3.019

6.  Cancer Visibility among Iranian Familial Networks: To What Extent Can We Rely on Family History Reports?

Authors:  Hossein Molavi Vardanjani; Mohammad Reza Baneshi; AliAkbar Haghdoost
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

7.  BRCA1/2 mutations, including large genomic rearrangements, among unselected ovarian cancer patients in Korea.

Authors:  Do Hoon Kim; Chi Heum Cho; Sun Young Kwon; Nam Hee Ryoo; Dong Seok Jeon; Wonmok Lee; Jung Sook Ha
Journal:  J Gynecol Oncol       Date:  2018-11       Impact factor: 4.401

8.  Secondary Primary Malignancy Risk in Patients With Ovarian Cancer in Taiwan: A Nationwide Population-Based Study.

Authors:  Yi-Ping Hung; Chia-Jen Liu; Yu-Wen Hu; Min-Huang Chen; Chun-Pin Li; Chiu-Mei Yeh; Tzeon-Jye Chiou; Tzeng-Ji Chen; Muh-Hwa Yang; Yee Chao
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

  8 in total

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