Application of BRCA1 and BRCA2 mutation carrier prediction models in breast and/or ovarian cancer families of French Canadian descent

被引:28
作者
Oros, K. K.
Ghadirian, P.
Maugard, C. M.
Perret, C.
Paredes, Y.
Mes-Masson, A-M
Foulkes, W. D.
Provencher, D.
Tonin, P. N.
机构
[1] McGill Univ, Dept Human Genet, Montreal, PQ, Canada
[2] McGill Univ, Dept Oncol & Med, Program Canc Genet, Montreal, PQ, Canada
[3] McGill Univ, Res Inst, Ctr Hlth, Montreal, PQ, Canada
[4] Univ Montreal, Unite Rech Epidemiol, CHU Montreal, Hop Hotel Dieu, Montreal, PQ H3C 3J7, Canada
[5] Univ Montreal, Fac Med, Montreal, PQ H3C 3J7, Canada
[6] Univ Montreal, Div Gynecol Oncol, Montreal, PQ H3C 3J7, Canada
[7] Univ Montreal, Dept Med, Montreal, PQ H3C 3J7, Canada
[8] Ctr Hosp Univ Montreal, Ser Med Gen, Montreal, PQ, Canada
关键词
BRCA1; BRCA2; French Canadian; hereditary breast and ovarian cancers; metachronous bilateral breast cancer; mutation carrier prediction models;
D O I
10.1111/j.1399-0004.2006.00673.x
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The BRCAPRO, Couch, Myriad I and II, Ontario Family History Assessment Tool (FHAT), and Manchester models have been used to predict BRCA1 or BRCA2 mutation carrier status of women at high risk for developing the heritable form of breast and ovarian cancers. We have evaluated these models for their accuracy in classifying 224 French Canadian families with at least three cases of breast cancer (diagnosed before the age of 65 years), ovarian cancer, or male breast cancer where mutation status was known for an index affected case used to assess the model. This series includes 44 BRCA1 and 52 BRCA2 mutation-positive families. Using receiver operator characteristics analyses, the C-statistics were found to be 0.81, 0.80, 0.79, and 0.74 for the BRCAPRO, FHAT, Manchester, and Myriad II models, respectively, when incorporating both BRCA1 and BRCA2 mutation carrier predictions. For the BRCAPRO model, 75% scored greater than a 0.43 probability in the mutation-positive group and 75% scored less than 0.50 in the mutation-negative group. Only 38 of 128 (30%) mutation-negative group had a probability greater than 0.43 with the BRCAPRO model. While all models were highly predictive of carrier status, the BRCAPRO model was the most accurate where a cut-off of 10% would have eliminated 60 of 128 (47%) mutation-negative families for genetic testing and only miss 10 of 96 (10%) mutation-positive families. A review of the cancer phenotypes with high BRCAPRO probabilities showed that significantly more metachronous bilateral breast cancer cases occurred in BRCA1/2 mutation carrier families in comparison to mutation-negative families, a feature which is not discriminated in the BRCAPRO model.
引用
收藏
页码:320 / 329
页数:10
相关论文
共 38 条
[1]  
[Anonymous], ROCKIT VERSION 0 9B
[2]   BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families [J].
Antoniou, AC ;
Durocher, F ;
Smith, P ;
Simard, J ;
Easton, DF .
BREAST CANCER RESEARCH, 2006, 8 (01)
[3]   BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes [J].
Berry, DA ;
Iversen, ES ;
Gudbjartsson, DF ;
Hiller, EH ;
Garber, JE ;
Peshkin, BN ;
Lerman, C ;
Watson, P ;
Lynch, HT ;
Hilsenbeck, SG ;
Rubinstein, WS ;
Hughes, KS ;
Parmigiani, G .
JOURNAL OF CLINICAL ONCOLOGY, 2002, 20 (11) :2701-2712
[4]   Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history [J].
Berry, DA ;
Parmigiani, G ;
Sanchez, J ;
Schildkraut, J ;
Winer, E .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1997, 89 (03) :227-238
[5]   Prevalence of founder BRCA1 and BRCA2 mutations in unselected French Canadian women with breast cancer [J].
Chappuis, PO ;
Hamel, N ;
Paradis, AJ ;
Deschênes, J ;
Robidoux, A ;
Potvin, C ;
Cantin, J ;
Tonin, P ;
Ghadirian, P ;
Foulkes, WD .
CLINICAL GENETICS, 2001, 59 (06) :418-423
[6]   BRCA1 mutations in women attending clinics that evaluate the risk of breast cancer [J].
Couch, FJ ;
DeShano, ML ;
Blackwood, MA ;
Calzone, K ;
Stopfer, J ;
Campeau, L ;
Ganguly, A ;
Rebbeck, T ;
Weber, BL ;
Jablon, L ;
Cobleigh, MA ;
Hoskins, K ;
Garber, JE .
NEW ENGLAND JOURNAL OF MEDICINE, 1997, 336 (20) :1409-1415
[7]  
DeBenedetti VMG, 1996, ONCOGENE, V13, P1353
[8]   Application of breast cancer risk prediction models in clinical practice [J].
Domchek, SM ;
Eisen, A ;
Calzone, K ;
Stopfer, J ;
Blackwood, A ;
Weber, BL .
JOURNAL OF CLINICAL ONCOLOGY, 2003, 21 (04) :593-601
[9]  
EUHUS DM, 2004, CANCERGENE VERSION 4
[10]   Update on the Manchester scoring system for BRCA1 and BRCA2 testing -: art. no. e39 [J].
Evans, DGR ;
Lalloo, F ;
Wallace, A ;
Rahman, N .
JOURNAL OF MEDICAL GENETICS, 2005, 42 (07)