Literature DB >> 19188678

Prediction of BRCA Mutations Using the BRCAPRO Model in Clinic-Based African American, Hispanic, and Other Minority Families in the United States.

Dezheng Huo1, Ruby T Senie, Mary Daly, Saundra S Buys, Shelly Cummings, Jacqueline Ogutha, Kisha Hope, Olufunmilayo I Olopade.   

Abstract

PURPOSE: BRCAPRO, a BRCA mutation carrier prediction model, was developed on the basis of studies in individuals of Ashkenazi Jewish and European ancestry. We evaluated the performance of the BRCAPRO model among clinic-based minority families. We also assessed the clinical utility of mutation status of probands (the first individual tested in a family) in the recommendation of BRCA mutation testing for other at-risk family members. PATIENTS AND METHODS: A total of 292 minority families with at least one member who was tested for BRCA mutations were identified through the Breast Cancer Family Registry and the University of Chicago. Using the BRCAPRO model, the predicted likelihood of carrying BRCA mutations was generated. Area under the receiver operating characteristic curves (AUCs) were calculated.
RESULTS: There were 104 African American, 130 Hispanic, 37 Asian-American, and 21 other minority families. The AUC was 0.748 (95% CI, 0.672 to 0.823) for all minorities combined. There was a statistically nonsignificant trend for BRCAPRO to perform better in Hispanic families than in other minority families. After taking into account the mutation status of probands, BRCAPRO performance in additional tested family members was improved: the AUC increased from 0.760 to 0.902.
CONCLUSION: The findings support the use of BRCAPRO in pretest BRCA mutation prediction among minority families in clinical settings, but there is room for improvement in ethnic groups other than Hispanics. Knowledge of the mutation status of the proband provides additional predictive value, which may guide genetic counselors in recommending BRCA testing of additional relatives when a proband has tested negative.

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Year:  2009        PMID: 19188678      PMCID: PMC2667822          DOI: 10.1200/JCO.2008.17.5869

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


  32 in total

1.  A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO.

Authors:  D G R Evans; D M Eccles; N Rahman; K Young; M Bulman; E Amir; A Shenton; A Howell; F Lalloo
Journal:  J Med Genet       Date:  2004-06       Impact factor: 6.318

2.  Evaluation of widely used models for predicting BRCA1 and BRCA2 mutations.

Authors:  F Marroni; P Aretini; E D'Andrea; M A Caligo; L Cortesi; A Viel; E Ricevuto; M Montagna; G Cipollini; S Ferrari; M Santarosa; R Bisegna; J E Bailey-Wilson; G Bevilacqua; G Parmigiani; S Presciuttini
Journal:  J Med Genet       Date:  2004-04       Impact factor: 6.318

3.  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

4.  Genetic testing in diverse populations: are researchers doing enough to get out the correct message?

Authors:  Dezheng Huo; Olufunmilayo I Olopade
Journal:  JAMA       Date:  2007-12-26       Impact factor: 56.272

5.  Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families. The Breast Cancer Linkage Consortium.

Authors:  D Ford; D F Easton; M Stratton; S Narod; D Goldgar; P Devilee; D T Bishop; B Weber; G Lenoir; J Chang-Claude; H Sobol; M D Teare; J Struewing; A Arason; S Scherneck; J Peto; T R Rebbeck; P Tonin; S Neuhausen; R Barkardottir; J Eyfjord; H Lynch; B A Ponder; S A Gayther; M Zelada-Hedman
Journal:  Am J Hum Genet       Date:  1998-03       Impact factor: 11.025

6.  Optimal selection of individuals for BRCA mutation testing: a comparison of available methods.

Authors:  Paul A James; Rebecca Doherty; Marion Harris; Bickol N Mukesh; Alvin Milner; Mary-Anne Young; Clare Scott
Journal:  J Clin Oncol       Date:  2006-02-01       Impact factor: 44.544

7.  Probabilistic prediction in patient management and clinical trials.

Authors:  D J Spiegelhalter
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8.  Validation study of the LAMBDA model for predicting the BRCA1 or BRCA2 mutation carrier status of North American Ashkenazi Jewish women.

Authors:  C Apicella; J G Dowty; G S Dite; M A Jenkins; R T Senie; M B Daly; I L Andrulis; E M John; S S Buys; F P Li; G Glendon; W Chung; H Ozcelik; A Miron; K Kotar; M C Southey; W D Foulkes; J L Hopper
Journal:  Clin Genet       Date:  2007-08       Impact factor: 4.438

9.  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

10.  Incorporating medical interventions into carrier probability estimation for genetic counseling.

Authors:  Hormuzd A Katki
Journal:  BMC Med Genet       Date:  2007-03-22       Impact factor: 2.103

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  20 in total

1.  Male Breast Cancer: A Study in Small Steps.

Authors:  Larissa A Korde
Journal:  Oncologist       Date:  2015-05-18

Review 2.  Mutations in context: implications of BRCA testing in diverse populations.

Authors:  Gabriela E S Felix; Yonglan Zheng; Olufunmilayo I Olopade
Journal:  Fam Cancer       Date:  2018-10       Impact factor: 2.375

Review 3.  The contribution of breast cancer pathology to statistical models to predict mutation risk in BRCA carriers.

Authors:  Ana Cristina Vargas; Leonard Da Silva; Sunil R Lakhani
Journal:  Fam Cancer       Date:  2010-12       Impact factor: 2.375

4.  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

5.  Prevalence and type of BRCA mutations in Hispanics undergoing genetic cancer risk assessment in the southwestern United States: a report from the Clinical Cancer Genetics Community Research Network.

Authors:  Jeffrey N Weitzel; Jessica Clague; Arelis Martir-Negron; Raquel Ogaz; Josef Herzog; Charité Ricker; Chelsy Jungbluth; Cheryl Cina; Paul Duncan; Gary Unzeitig; J Salvador Saldivar; Mary Beattie; Nancy Feldman; Sharon Sand; Danielle Port; Deborah I Barragan; Esther M John; Susan L Neuhausen; Garrett P Larson
Journal:  J Clin Oncol       Date:  2012-12-10       Impact factor: 44.544

6.  Intensive Surveillance with Biannual Dynamic Contrast-Enhanced Magnetic Resonance Imaging Downstages Breast Cancer in BRCA1 Mutation Carriers.

Authors:  Rodrigo Santa Cruz Guindalini; Yonglan Zheng; Hiroyuki Abe; Kristen Whitaker; Toshio F Yoshimatsu; Tom Walsh; David Schacht; Kirti Kulkarni; Deepa Sheth; Marion S Verp; Angela R Bradbury; Jane Churpek; Elias Obeid; Jeffrey Mueller; Galina Khramtsova; Fang Liu; Akila Raoul; Hongyuan Cao; Iris L Romero; Susan Hong; Robert Livingston; Nora Jaskowiak; Xiaoming Wang; Marcio Debiasi; Colin C Pritchard; Mary-Claire King; Gregory Karczmar; Gillian M Newstead; Dezheng Huo; Olufunmilayo I Olopade
Journal:  Clin Cancer Res       Date:  2018-08-28       Impact factor: 12.531

7.  Outcomes of a systems-level intervention offering breast cancer risk assessments to low-income underserved women.

Authors:  Darren Mays; McKane E Sharff; Tiffani A DeMarco; Bernice Williams; Beth Beck; Vanessa B Sheppard; Beth N Peshkin; Jennifer Eng-Wong; Kenneth P Tercyak
Journal:  Fam Cancer       Date:  2012-09       Impact factor: 2.375

Review 8.  Advances in breast cancer: pathways to personalized medicine.

Authors:  Olufunmilayo I Olopade; Tatyana A Grushko; Rita Nanda; Dezheng Huo
Journal:  Clin Cancer Res       Date:  2008-12-15       Impact factor: 12.531

9.  Clinical and biologic features of triple-negative breast cancers in a large cohort of patients with long-term follow-up.

Authors:  L Malorni; P B Shetty; C De Angelis; S Hilsenbeck; M F Rimawi; R Elledge; C K Osborne; S De Placido; G Arpino
Journal:  Breast Cancer Res Treat       Date:  2012-11-04       Impact factor: 4.872

10.  A comparison of cancer risk assessment and testing outcomes in patients from underserved vs. tertiary care settings.

Authors:  Huma Q Rana; Sarah R Cochrane; Elaine Hiller; Ruth N Akindele; Callie M Nibecker; Ludmila A Svoboda; Angel M Cronin; Judy E Garber; Christopher S Lathan
Journal:  J Community Genet       Date:  2017-11-18
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