Literature DB >> 20234394

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

Ines Zanna1, Piera Rizzolo, Francesco Sera, Mario Falchetti, Paolo Aretini, Giuseppe Giannini, Giovanna Masala, Alberto Gulino, Domenico Palli, Laura Ottini.   

Abstract

No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1/BRCA2 mutations. Indeed, the occurrence of MBC is a commonly used criterion to select families for BRCA mutation testing. We evaluated the performance and clinical effectiveness of four different predictive models in a population-based series of 102 Italian MBC patients characterized for BRCA1/2 mutations. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each risk model at the 10% threshold. The area under the ROC (AUC) curves and its corresponding asymptotic 95% CIs were calculated as a measure of the accuracy. In our study, the BRCAPRO version 5.0 had the highest combination of sensitivity, specificity, NPV and PPV for the combined probability and for the discrimination of BRCA2 mutations. In individuals with negative breast-ovarian cancer family history, BRCAPRO 5.0 reached a high discriminatory capacity (AUC=0.92) in predicting BRCA2 mutations and showed values of sensitivity, specificity, NPV and PPV of 0.5, 0.98, 0.97 and 0.67, respectively, for the combined probability. BRCAPRO version 5.0 can be particularly useful in dealing with non-familial MBC, a circumstance that often represents a challenging situation in genetic counseling.

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Year:  2010        PMID: 20234394      PMCID: PMC2987355          DOI: 10.1038/ejhg.2010.29

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


  23 in total

1.  Assessing BRCA carrier probabilities in extended families.

Authors:  Carlos H Barcenas; G M Monawar Hosain; Banu Arun; Jihong Zong; Xiaojun Zhou; Jianfang Chen; Jill M Cortada; Gordon B Mills; Gail E Tomlinson; Alexander R Miller; Louise C Strong; Christopher I Amos
Journal:  J Clin Oncol       Date:  2006-01-20       Impact factor: 44.544

2.  Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2.

Authors:  G Parmigiani; D Berry; O Aguilar
Journal:  Am J Hum Genet       Date:  1998-01       Impact factor: 11.025

3.  A preliminary validation of a family history assessment form to select women at risk for breast or ovarian cancer for referral to a genetics center.

Authors:  C A Gilpin; N Carson; A G Hunter
Journal:  Clin Genet       Date:  2000-10       Impact factor: 4.438

4.  Tailoring BRCAPRO to Asian-Americans.

Authors:  Sining Chen; Amanda L Blackford; Giovanni Parmigiani
Journal:  J Clin Oncol       Date:  2008-12-15       Impact factor: 44.544

5.  BRCA1/BRCA2 mutation status and clinical-pathologic features of 108 male breast cancer cases from Tuscany: a population-based study in central Italy.

Authors:  Laura Ottini; Piera Rizzolo; Ines Zanna; Mario Falchetti; Giovanna Masala; Ketty Ceccarelli; Vania Vezzosi; Alberto Gulino; Giuseppe Giannini; Simonetta Bianchi; Francesco Sera; Domenico Palli
Journal:  Breast Cancer Res Treat       Date:  2008-09-26       Impact factor: 4.872

Review 6.  Male breast cancer.

Authors:  Laura Ottini; Domenico Palli; Sergio Rizzo; Mario Federico; Viviana Bazan; Antonio Russo
Journal:  Crit Rev Oncol Hematol       Date:  2009-05-07       Impact factor: 6.312

7.  Oral contraceptive use and BRCA penetrance: a case-only study.

Authors:  Patrizia Pasanisi; Guy Hédelin; Jacopo Berrino; Jenny Chang-Claude; Silke Hermann; Michael Steel; Neva Haites; Jacob Hart; Ronit Peled; Lorenzo Gafà; Laura Leggio; Adele Traina; Rosalba Amodio; Maja Primic-Zakelj; Vesna Zadnik; Toomas Veidebaum; Mare Tekkel; Franco Berrino
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-06-23       Impact factor: 4.254

8.  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

9.  Meta-analysis of BRCA1 and BRCA2 penetrance.

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

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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  6 in total

1.  Validation of three BRCA1/2 mutation-carrier probability models Myriad, BRCAPRO and BOADICEA in a population-based series of 183 German families.

Authors:  S M Schneegans; A Rosenberger; U Engel; M Sander; G Emons; M Shoukier
Journal:  Fam Cancer       Date:  2012-06       Impact factor: 2.375

2.  BRCAPRO 6.0 Model Validation in Male Patients Presenting for BRCA Testing.

Authors:  Zahi I Mitri; Michelle Jackson; Carolyn Garby; Juhee Song; Sharon H Giordano; Gabriel N Hortobágyi; Claire N Singletary; S Shahrukh Hashmi; Banu K Arun; Jennifer K Litton
Journal:  Oncologist       Date:  2015-05-06

3.  Strictly defined familial male breast cancer.

Authors:  Uwe Güth; Dieter Müller; Dorothy Jane Huang; Ellen Obermann; Hansjakob Müller
Journal:  Fam Cancer       Date:  2011-03       Impact factor: 2.375

4.  Accuracy of BRCA1/2 mutation prediction models for different ethnicities and genders: experience in a southern Chinese cohort.

Authors:  Ava Kwong; Connie H N Wong; Dacita T K Suen; Michael Co; Allison W Kurian; Dee W West; James M Ford
Journal:  World J Surg       Date:  2012-04       Impact factor: 3.352

5.  Next-generation sequencing of BRCA1/2 in breast cancer patients: potential effects on clinical decision-making using rapid, high-accuracy genetic results.

Authors:  Hyung Seok Park; Seo-Jin Park; Jee Ye Kim; Sanghwa Kim; Jaegyu Ryu; Joohyuk Sohn; Seho Park; Gun Min Kim; In Sik Hwang; Jong-Rak Choi; Seung Il Kim
Journal:  Ann Surg Treat Res       Date:  2017-04-27       Impact factor: 1.859

Review 6.  Male Breast Cancer: From Molecular Genetics to Clinical Management.

Authors:  Matilde Pensabene; Claudia Von Arx; Michelino De Laurentiis
Journal:  Cancers (Basel)       Date:  2022-04-15       Impact factor: 6.575

  6 in total

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