Literature DB >> 15340362

Penetrances of breast and ovarian cancer in a large series of families tested for BRCA1/2 mutations.

Fabio Marroni1, Paolo Aretini, Emma D'Andrea, Maria Adelaide Caligo, Laura Cortesi, Alessandra Viel, Enrico Ricevuto, Marco Montagna, Giovanna Cipollini, Massimo Federico, Manuela Santarosa, Paolo Marchetti, Joan E Bailey-Wilson, Generoso Bevilacqua, Giovanni Parmigiani, Silvano Presciuttini.   

Abstract

Accurate estimates of breast and ovarian cancer penetrance in BRCA1/2 mutation carriers are crucial in genetic counseling. Estimation is difficult because of the low frequency of mutated alleles and the often-uncertain mechanisms of family ascertainment. We estimated the penetrances of breast and ovarian cancers in carriers of BRCA1/2 mutations by maximizing the retrospective likelihood of the genetic model, given the observed test results, in 568 Italian families screened for germline mutations. The software BRCAPRO was used as a probability calculation tool in a Markov Chain Monte Carlo approach. Breast cancer penetrances were 27% (95% CI 20-34%) at age 50 years and 39% (27-52%) at age 70 in BRCA1 carriers, and 26% (0.18-0.34%) at age 50 and 44% (29-58%) at age 70 in BRCA2 carriers, and ovarian cancer penetrances were 14% (7-22%) at age 50 and 43% (21-66%) at age 70 in BRCA1 carriers and 3% (0-7%) at age 50 and 15% (4-26%) at age 70 in BRCA2 carriers. The new model gave a better fit than the current default in BRCAPRO, the likelihood being 70 log units greater; in addition, the observed numbers of mutations in families stratified by gene and by cancer profile were not significantly different from those expected. Our new penetrance functions are appropriate for predicting breast cancer risk, and for determining the probability of carrying BRCA1/2 mutations, in people who are presently referred to genetic counseling in Italy. Our approach could lead to country-customized versions of the BRCAPRO software by providing appropriate population-specific estimates.

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Year:  2004        PMID: 15340362     DOI: 10.1038/sj.ejhg.5201256

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  14 in total

Review 1.  Bias Correction Methods Explain Much of the Variation Seen in Breast Cancer Risks of BRCA1/2 Mutation Carriers.

Authors:  Janet R Vos; Li Hsu; Richard M Brohet; Marian J E Mourits; Jakob de Vries; Kathleen E Malone; Jan C Oosterwijk; Geertruida H de Bock
Journal:  J Clin Oncol       Date:  2015-07-06       Impact factor: 44.544

2.  The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases.

Authors:  Ines Zanna; Piera Rizzolo; Francesco Sera; Mario Falchetti; Paolo Aretini; Giuseppe Giannini; Giovanna Masala; Alberto Gulino; Domenico Palli; Laura Ottini
Journal:  Eur J Hum Genet       Date:  2010-03-17       Impact factor: 4.246

3.  Predicting BRCA1 and BRCA2 gene mutation carriers: comparison of PENN II model to previous study.

Authors:  Noralane M Lindor; Kiley J Johnson; Hayden Harvey; V Shane Pankratz; Susan M Domchek; Katherine Hunt; Marcia Wilson; M Cathie Smith; Fergus Couch
Journal:  Fam Cancer       Date:  2010-12       Impact factor: 2.375

4.  The effectiveness of family history questionnaires in cancer genetic counseling.

Authors:  Susan Randall Armel; Jeanna McCuaig; Amy Finch; Rochelle Demsky; Tony Panzarella; Joan Murphy; Barry Rosen
Journal:  J Genet Couns       Date:  2009-05-21       Impact factor: 2.537

5.  Characterization of BRCA1 and BRCA2 mutations in a large United States sample.

Authors:  Sining Chen; Edwin S Iversen; Tara Friebel; Dianne Finkelstein; Barbara L Weber; Andrea Eisen; Leif E Peterson; Joellen M Schildkraut; Claudine Isaacs; Beth N Peshkin; Camille Corio; Leoni Leondaridis; Gail Tomlinson; Debra Dutson; Rich Kerber; Christopher I Amos; Louise C Strong; Donald A Berry; David M Euhus; Giovanni Parmigiani
Journal:  J Clin Oncol       Date:  2006-02-20       Impact factor: 44.544

6.  Performance of BRCA1/2 mutation prediction models in Asian Americans.

Authors:  Allison W Kurian; Gail D Gong; Nicolette M Chun; Meredith A Mills; Ashley D Staton; Kerry E Kingham; Beth B Crawford; Robin Lee; Salina Chan; Susan S Donlon; Yolanda Ridge; Karen Panabaker; Dee W West; Alice S Whittemore; James M Ford
Journal:  J Clin Oncol       Date:  2008-09-08       Impact factor: 44.544

7.  Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution Perspective.

Authors:  Seung Jun Shin; Elissa B Dodd-Eaton; Fan Gao; Jasmina Bojadzieva; Jingxiao Chen; Xianhua Kong; Christopher I Amos; Jing Ning; Louise C Strong; Wenyi Wang
Journal:  Cancer Res       Date:  2019-11-12       Impact factor: 12.701

8.  Meta-analysis of BRCA1 and BRCA2 penetrance.

Authors:  Sining Chen; Giovanni Parmigiani
Journal:  J Clin Oncol       Date:  2007-04-10       Impact factor: 44.544

9.  Risk reducing salpingectomy and delayed oophorectomy in high risk women: views of cancer geneticists, genetic counsellors and gynaecological oncologists in the UK.

Authors:  Dhivya Chandrasekaran; Usha Menon; Gareth Evans; Robin Crawford; Ertan Saridogan; Chris Jacobs; Marc Tischkowitz; Elly Brockbank; Jatinder Kalsi; Davor Jurkovic; Ranjit Manchanda
Journal:  Fam Cancer       Date:  2015-12       Impact factor: 2.375

10.  Breast cancer screening in women at increased risk according to different family histories: an update of the Modena Study Group experience.

Authors:  Laura Cortesi; Daniela Turchetti; Isabella Marchi; Antonella Fracca; Barbara Canossi; Battista Rachele; Ruscelli Silvia; Pecchi Anna Rita; Torricelli Pietro; Federico Massimo
Journal:  BMC Cancer       Date:  2006-08-17       Impact factor: 4.430

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