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      Detection of pathogenic variants in breast cancer susceptibility genes in bilateral breast cancer

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          Abstract

          Purpose

          To investigate the frequency of germline pathogenic variants (PVs) in women with bilateral breast cancer.

          Methods

          We undertook BRCA1/2and CHEK2c.1100delC molecular analysis in 764 samples and a multigene panel in 156. Detection rates were assessed by age at first primary, Manchester Score, and breast pathology. Oestrogen receptor (ER) status of the contralateral versus first breast cancer was compared on 1081 patients with breast cancer with BRCA1/B RCA2PVs.

          Results

          764 women with bilateral breast cancer have undergone testing of BRCA1/2and CHEK2; 407 were also tested for PALB2and 177 for ATM. Detection rates were BRCA111.6%, BRCA214.0%, CHEK22.4%, PALB21.0%, ATM1.1% and, for a subset of mainly very early onset tumours, TP534.6% (9 of 195). The highest PV detection rates were for triple negative cancers for BRCA1(26.4%), grade 3 ER+HER2 for BRCA2(27.9%) and HER2+ for CHEK2(8.9%). ER status of the first primary in BRCA1and BRCA2PV heterozygotes was strongly predictive of the ER status of the second contralateral tumour since ~90% of second tumours were ER− in BRCA1heterozygotes, and 50% were ER− in BRCA2heterozygotes if the first was ER−.

          Conclusion

          We have shown a high rate of detection of BRCA1and BRCA2PVs in triple negative and grade 3 ER+HER2− first primary diagnoses, respectively. High rates of HER2+ were associated with CHEK2PVs, and women ≤30 years were associated with TP53PVs. First primary ER status in BRCA1/2strongly predicts the second tumour will be the same ER status even if unusual for PVs in that gene.

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          Most cited references19

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          Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

          Genetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking.
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            A Population-Based Study of Genes Previously Implicated in Breast Cancer

            Population-based estimates of the risk of breast cancer associated with germline pathogenic variants in cancer-predisposition genes are critically needed for risk assessment and management in women with inherited pathogenic variants.
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              Is Open Access

              Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers

              Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]–positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2×10−53). In BRCA2 carriers, the strongest association with BC risk was seen for the overall BC PRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2×10−20). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management.
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                Author and article information

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                Journal
                Journal of Medical Genetics
                J Med Genet
                BMJ
                0022-2593
                1468-6244
                September 21 2023
                October 2023
                October 2023
                April 13 2023
                : 60
                : 10
                : 974-979
                Article
                10.1136/jmg-2023-109196
                37055167
                bcc93d91-d4a6-4888-90e1-e0318ad79aa6
                © 2023
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