Literature DB >> 19127556

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

Kaylene J Ready1, Kristen J Vogel, Deann P Atchley, Kristine R Broglio, Kimberly K Solomon, Christopher Amos, Karen H Lu, Gabriel N Hortobagyi, Banu Arun.   

Abstract

BACKGROUND: The likelihood of identifying a BRCA mutation was often calculated using the BRCAPRO model. A previous study suggested that this model may overestimate the chance of detecting a BRCA mutation among women diagnosed with bilateral breast cancer. Studies also suggested that few patients with bilateral breast cancer whose age at first diagnosis is >40 years were mutation carriers. The objectives of this study were to determine the accuracy of the BRCAPRO model among women with bilateral breast cancer and to determine whether their mutation status was dependent on their age at first diagnosis.
METHODS: A retrospective chart review was performed. Women who were diagnosed with bilateral or unilateral breast cancer and who had undergone comprehensive BRCA1 and BRCA2 genetic testing at M. D. Anderson Cancer Center between 1997 and 2006 were included in the study.
RESULTS: For individuals with pre-test carrier probabilities >31%, the proportion of positive tests was significantly lower than predicted by the BRCAPRO model (P < .05). In addition, the carrier rate of BRCA mutations was significantly higher (P = .002, Fisher exact test) in women with bilateral breast cancer whose age at first diagnosis was <or=40 years compared with those diagnosed >40 years.
CONCLUSIONS: The BRCAPRO model was overestimating the relative contribution bilateral breast cancer had on the likelihood of detecting a BRCA1 or BRCA2 mutation. Bilateral breast cancer did not appear to be a good indicator of mutation status, particularly for women whose age at first diagnosis is >40 years. (c) 2009 American Cancer Society.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19127556     DOI: 10.1002/cncr.24102

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  6 in total

Review 1.  Comprehensive spectrum of BRCA1 and BRCA2 deleterious mutations in breast cancer in Asian countries.

Authors:  Ava Kwong; Vivian Y Shin; John C W Ho; Eunyoung Kang; Seigo Nakamura; Soo-Hwang Teo; Ann S G Lee; Jen-Hwei Sng; Ophira M Ginsburg; Allison W Kurian; Jeffrey N Weitzel; Man-Ting Siu; Fian B F Law; Tsun-Leung Chan; Steven A Narod; James M Ford; Edmond S K Ma; Sung-Won Kim
Journal:  J Med Genet       Date:  2015-07-17       Impact factor: 6.318

2.  Comparison between CaGene 5.1 and 6.0 for BRCA1/2 mutation prediction: a retrospective study of 150 BRCA1/2 genetic tests in 517 families with breast/ovarian cancer.

Authors:  Ivana Antonucci; Martina Provenzano; Luca Sorino; Michela Balsamo; Gitana Maria Aceto; Pasquale Battista; David Euhus; Ettore Cianchetti; Patrizia Ballerini; Clara Natoli; Giandomenico Palka; Liborio Stuppia
Journal:  J Hum Genet       Date:  2016-12-08       Impact factor: 3.172

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

Authors:  Molly S Daniels; 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
Journal:  J Clin Oncol       Date:  2014-03-17       Impact factor: 44.544

4.  Recent BRCAPRO upgrades significantly improve calibration.

Authors:  Emanuele Mazzola; Jonathan Chipman; Su-Chun Cheng; Giovanni Parmigiani
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-06-02       Impact factor: 4.254

5.  Germline mutational spectrum in Armenian breast cancer patients suspected of hereditary breast and ovarian cancer.

Authors:  Mike M Moradian; Davit T Babikyan; Sione Markarian; Jonny G Petrosyan; Nare Avanesian; Tereza Arutunyan; Tamara F Sarkisian
Journal:  Hum Genome Var       Date:  2021-02-09

6.  Evaluation of BRCAPRO Risk Assessment Model in Patients with Ductal Carcinoma In situ Who Underwent Clinical BRCA Genetic Testing.

Authors:  Nisreen Elsayegh; Angelica M Gutierrez Barrera; Kimberly I Muse; Heather Lin; Henry M Kuerer; Monica Helm; Jennifer K Litton; Banu K Arun
Journal:  Front Genet       Date:  2016-04-27       Impact factor: 4.599

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.