scholarly journals Mutational Spectrum of Breast Cancer Susceptibility Genes among Women in Northeast Brazil

Author(s):  
Gabriela ES Felix ◽  
Rodrigo Santa Cruz Guindalini ◽  
Yonglan Zheng ◽  
Tom Walsh ◽  
Elisabeth Sveen ◽  
...  

Abstract Purpose: There is a paucity of data on the spectrum and prevalence of pathogenic variants among women of African ancestry in the Northeast region of Brazil. Methods: We performed BROCA panel sequencing to identify inherited loss-of-function variants in breast cancer susceptibility genes among 292 Brazilian women referred to a single institution cancer risk assessment program. Results: The study included a convenient cohort of 173 women with invasive breast cancer and 119 women who were cancer-free at the time of ascertainment. The majority of the women self-reported as African-descended (67% for cases and 90.8% for controls). Thirty-seven pathogenic variants were found in 36 (20.8%) patients. While the spectrum of pathogenic variants was heterogeneous, the majority (70.3%) of the pathogenic variants were detected in high-risk genes BRCA1 , BRCA2 , PALB2 , and TP53 . Pathogenic variants were also found in the ATM , BARD1 , BRIP1 , FAM175A , FANCM , NBN , and SLX4 genes in 6.4% of the affected women. Four recurrent pathogenic variants were detected in 11 patients of African ancestry. Only one unaffected woman had a pathogenic variant in the RAD51C gene. Conclusion: The high prevalence and heterogenous spectrum of pathogenic variants identified among self-reported African descendants in Northeast Brazil is consistent with studies in other African populations with a high burden of aggressive young onset breast cancer. It underscores the need to integrate comprehensive cancer risk assessment and genomic testing in the management of newly diagnosed Black women with breast cancer across the African Diaspora, enabling improved cancer control in admixed underserved and understudied populations.

2021 ◽  
Author(s):  
Qiting Wan ◽  
Li Hu ◽  
Lu Yao ◽  
Jiuan Chen ◽  
Jie Sun ◽  
...  

The demand for genetic testing for breast cancer susceptibility genes is increasing for both breast cancer patients and healthy individuals. Here we established a novel high-throughput assay to detect germline pathogenic variants in breast cancer susceptibility genes. In general, up 10 to 50 individual genomic DNA samples were mixed together to create a mixed DNA sample and the mixed DNA sample was subjected to a next-generation multigene panel. Germline pathogenic variants in breast cancer susceptibility genes could be found in the mixed DNA sample; next, site-specific Sanger sequencing was performed to identify individuals who carried he pathogenic variant in the mixed samples. We found that the recall and precision rates were 89.9% and 92.9% when twenty individual genomic samples were mixed. Therefore, our new assay can increase an approximately 20-fold of efficacy to identify the pathogenic variants in breast cancer susceptibility genes in individuals when compared with current assay.


2020 ◽  
pp. 585-592 ◽  
Author(s):  
Elisha Hughes ◽  
Placede Tshiaba ◽  
Shannon Gallagher ◽  
Susanne Wagner ◽  
Thaddeus Judkins ◽  
...  

PURPOSE Women with a family history of breast cancer are frequently referred for hereditary cancer genetic testing, yet < 10% are found to have pathogenic variants in known breast cancer susceptibility genes. Large-scale genotyping studies have identified common variants (primarily single-nucleotide polymorphisms [SNPs]) with individually modest breast cancer risk that, in aggregate, account for considerable breast cancer susceptibility. Here, we describe the development and empirical validation of an SNP-based polygenic breast cancer risk score. METHODS A panel of 94 SNPs was examined for association with breast cancer in women of European ancestry undergoing hereditary cancer genetic testing and negative for pathogenic variants in breast cancer susceptibility genes. Candidate polygenic risk scores (PRSs) as predictors of personal breast cancer history were developed through multivariable logistic regression models adjusted for age, cancer history, and ancestry. An optimized PRS was validated in 2 independent cohorts (n = 13,174; n = 141,160). RESULTS Within the training cohort (n = 24,259), 4,291 women (18%) had a personal history of breast cancer and 8,725 women (36%) reported breast cancer in a first-degree relative. The optimized PRS included 86 variants and was highly predictive of breast cancer status in both validation cohorts ( P = 6.4 × 10−66; P < 10−325). The odds ratio (OR) per unit standard deviation was consistent between validations (OR, 1.45 [95% CI, 1.39 to 1.52]; OR 1.47 [95% CI, 1.45 to 1.49]). In a direct comparison, the 86-SNP PRS outperformed a previously described PRS of 77 SNPs. CONCLUSION The validation and implementation of a PRS for women without pathogenic variants in known breast cancer susceptibility genes offers potential for risk stratification to guide surveillance recommendations.


2020 ◽  
Author(s):  
Zhishan Chen ◽  
Xingyi Guo ◽  
Jirong Long ◽  
Jie Ping ◽  
Bingshan Li ◽  
...  

Abstract Structural deletions in breast cancer susceptibility genes could confer to cancer risk, but remain poorly characterized. Here, we conducted in-depth whole genome sequencing (WGS) in germline DNA samples from 1,340 invasive breast cancer cases and 675 controls of African ancestry to discover such deletions. We identified 33 deletions, including five protein-truncating deletions in BRCA1, BRCA2, RAD51C, GEN1, and BRIP1, were observed only in cases but not in controls. Three deletions, including one protein-truncating deletion in TP53, were found to have a higher frequency in cases than in controls. In total, 4.6% of cases and 0.6% of controls carried any of these 36 deletions, resulting in an odds ratio (OR) of 8.0 (95%CI = 2.94 - 30.41). In addition, we identified a low-frequency deletion in NF1 associated with breast cancer risk (OR = 1.93, 95%CI = 1.14 - 3.42). These findings have significant implications for genetic testing for this common cancer.


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