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Observational Study
. 2018 Aug:4:1-9.
doi: 10.1200/JGO.18.00066.

Prevalence of BRCA1 and BRCA2 Mutations Among High-Risk Saudi Patients With Breast Cancer

Affiliations
Observational Study

Prevalence of BRCA1 and BRCA2 Mutations Among High-Risk Saudi Patients With Breast Cancer

Omalkhair Abulkhair et al. J Glob Oncol. 2018 Aug.

Abstract

Purpose Over the past three decades, the incidence rate of breast cancer (BC) among Arab women has continually increased. However, data on the prevalence of BRCA1/2 mutations are scarce. Although the population in Saudi Arabia is at large homogeneous and consanguinity is common, especially in the central, eastern, and southern regions of the country, the prevalence of BRCA1 and BRCA2 mutations and the characteristics of BC are not well studied in the country. Methods This prospective observational study intended to determine the prevalence of BRCA1 and BRCA2 mutations and sought to examine the clinicopathologic features of BC associated with these mutations. Results Of 310 patients, 270 (87%) had no mutation. BRCA mutations were identified in 40 patients; BRCA1 mutations were found in 11% of patients, and BRCA2 mutations were found in 2% of patients. Variants of unknown significance were found in 15% of patients (45 patients). Triple-negative BC (TNBC) accounted for 86% of all patients with BC and mutations. The following three recurrent deleterious founder BRCA1 mutations were observed: c.4136_4137delCT was observed in five unrelated patients, c.5530delC was observed in three unrelated patients, and c.4524G>A mutations were observed in five unrelated patients. One novel mutation was identified in the BRCA1 gene (c.5512 dup [p.Glu1838Glyfs*42]). Conclusion Among high-risk Saudi patients with BC, BRCA1 mutations are prevalent (11%). TNBC is the most common BC subtype. Furthermore, age alone does not have a significant association with mutation, but a combination of risk factors such as age, familial history, and TNBC has a significant association with BRCA mutation.

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Fig 1
Fig 1
Flow diagram of enrolled patients.

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