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PubMed1997

Prevalence of recurring BRCA mutations among Ashkenazi Jewish women with breast cancer.

The BRCA1 mutations 185delAG and 5382insC and the BRCA2 mutation 6174delT have been detected in a significant proportion of Ashkenazi Jewish women with early-onset breast cancer. A group of 236 Jewish women with breast cancer was screened for the presence of these alterations. Mutations were detected in 25.0% (59/236). Among women with breast cancer diagnosed at or before the age of 45, the prevalence of these mutations was 29.1% (42/144). Among women diagnosed with breast cancer after age 45, mutations were noted in 18.5% (17/92). Among women with a family history of breast or ovarian cancer, the likelihood of detecting a mutation was 32.1% (53/165). BRCA1 185delAG was the most common mutation overall (40/236, 16.9%). The ratio of BRCA1 185delAG to BRCA2 6174delT was 4.0 in women with early-onset breast cancer and 1.3 in women with breast cancer diagnosed after age 45. Clinical features such as age at diagnosis, family history of breast or ovarian cancer, bilateral breast cancer, and personal history of breast and ovarian cancer increase the likelihood of detecting mutations among Ashkenazi women with breast cancer. The yield of testing is low in the absence of any of these features.

Adult↗
PubMed2006

Spontaneous and therapeutic abortions and the risk of breast cancer among BRCA mutation carriers.

INTRODUCTION: BRCA1 and BRCA2 mutation carriers are at increased risk for developing both breast and ovarian cancer. It has been suggested that carriers of BRCA1/2 mutations may also be at increased risk of having recurrent (three or more) miscarriages. Several reproductive factors have been shown to influence the risk of breast cancer in mutation carriers, but the effects of spontaneous and therapeutic abortions on the risk of hereditary breast cancer risk have not been well studied to date. METHODS: In a matched case-control study, the frequencies of spontaneous abortions were compared among 1,878 BRCA1 mutation carriers, 950 BRCA2 mutation carriers and 657 related non-carrier controls. The rates of spontaneous and therapeutic abortions were compared for carriers with and without breast cancer. RESULTS: There was no difference in the rate of spontaneous abortions between carriers of BRCA1 or BRCA2 mutations and non-carriers. The number of spontaneous abortions was not associated with breast cancer risk among BRCA1 or BRCA2 mutation carriers. However, BRCA2 carriers who had two or more therapeutic abortions faced a 64% decrease in the risk of breast cancer (odds ratio = 0.36; 95% confidence interval 0.16-0.83; p = 0.02). CONCLUSION: Carrying a BRCA1 or BRCA2 mutation is not a risk factor for spontaneous abortions and spontaneous abortions do not appear to influence the risk of breast cancer in carriers of BRCA1 or BRCA2 mutations. However, having two or more therapeutic abortions may be associated with a lowered risk of breast cancer among BRCA2 carriers.

Abortion, Spontaneous↗
PubMed2006

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

PURPOSE: Several methods have been described that estimate the likelihood that a family history of cancer is a result of a mutation in the BRCA1 or BRCA2 genes. We examined the performance of six different methods with the aim of identifying an optimal strategy for selecting individuals for mutation testing in clinical practice. PATIENTS AND METHODS: Two hundred fifty-seven families who had completed BRCA1 and BRCA2 mutation screening were assessed by six models representing the major methodologies used to assess the likelihood of a pathogenic mutation. The performance of each method as a selection criterion was compared with the result of mutation testing to produce sensitivity, specificity, and receiver operating curve data. The impact of incorporating breast cancer pathology data in the assessment was also analyzed. RESULTS: The highest accuracy was achieved by the Bayesian probabilistic model (BRCAPRO). The formal probabilistic methods were significantly more accurate than clinical scoring methods. The methods were further improved by the incorporation of information on breast cancer pathology (tumor grade and estrogen receptor/progesterone receptor status). The resulting combined probability figure was highly accurate when selecting individuals for BRCA1 testing. Some BRCA2 mutation carriers were missed by all of the models examined. CONCLUSION: Formal probabilistic models provide significantly greater accuracy in the selection of families for gene testing than the use of clinical criteria or scoring methods. The accuracy is further enhanced by incorporating information on the pathology of breast cancers occurring in the families.

Adult↗