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. 2022 Jun 27;22(1):706.
doi: 10.1186/s12885-022-09780-1.

Polygenic risk scores indicate extreme ages at onset of breast cancer in female BRCA1/2 pathogenic variant carriers

Affiliations

Polygenic risk scores indicate extreme ages at onset of breast cancer in female BRCA1/2 pathogenic variant carriers

Julika Borde et al. BMC Cancer. .

Abstract

Background: Clinical management of women carrying a germline pathogenic variant (PV) in the BRCA1/2 genes demands for accurate age-dependent estimators of breast cancer (BC) risks, which were found to be affected by a variety of intrinsic and extrinsic factors. Here we assess the contribution of polygenic risk scores (PRSs) to the occurrence of extreme phenotypes with respect to age at onset, namely, primary BC diagnosis before the age of 35 years (early diagnosis, ED) and cancer-free survival until the age of 60 years (late/no diagnosis, LD) in female BRCA1/2 PV carriers.

Methods: Overall, estrogen receptor (ER)-positive, and ER-negative BC PRSs as developed by Kuchenbaecker et al. for BC risk discrimination in female BRCA1/2 PV carriers were employed for PRS computation in a curated sample of 295 women of European descent carrying PVs in the BRCA1 (n=183) or the BRCA2 gene (n=112), and did either fulfill the ED criteria (n=162, mean age at diagnosis: 28.3 years, range: 20 to 34 years) or the LD criteria (n=133). Binomial logistic regression was applied to assess the association of standardized PRSs with either ED or LD under adjustment for patient recruitment criteria for germline testing and localization of BRCA1/2 PVs in the corresponding BC or ovarian cancer (OC) cluster regions.

Results: For BRCA1 PV carriers, the standardized overall BC PRS displayed the strongest association with ED (odds ratio (OR) = 1.62; 95% confidence interval (CI): 1.16-2.31, p<0.01). Additionally, statistically significant associations of selection for the patient recruitment criteria for germline testing and localization of pathogenic PVs outside the BRCA1 OC cluster region with ED were observed. For BRCA2 PV carriers, the standardized PRS for ER-negative BC displayed the strongest association (OR = 2.27, 95% CI: 1.45-3.78, p<0.001).

Conclusions: PRSs contribute to the development of extreme phenotypes of female BRCA1/2 PV carriers with respect to age at primary BC diagnosis. Construction of optimized PRS SNP sets for BC risk stratification in BRCA1/2 PV carriers should be the task of future studies with larger, well-defined study samples. Furthermore, our results provide further evidence, that localization of PVs in BC/OC cluster regions might be considered in BC risk calculations for unaffected BRCA1/2 PV carriers.

Keywords: BRCA1; BRCA2; Breast cancer; PRS; Polygenic risk score; Risk assessment.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Standardized polygenic risk score (PRS) values per individual and Spearman’s rank correlation coefficients ρ. (Upper left) Overall breast cancer (BC) PRS versus estrogen receptor-positive (ER+) BC PRS in 183 BRCA1 pathogenic variant (PV) carriers who were either diagnosed with BC before the age of 35 years (early diagnosis, ED) or were unaffected at least until the age of 60 years (late/no diagnosis, LD). (Upper right) Overall BC PRS versus estrogen receptor-negative (ER-) BC PRS in the same sample. (Lower left) Overall BC PRS versus ER+ BC PRS in 112 BRCA2 PV carriers who belonged to either the LD or ED group. (Lower right) Overall BC PRS versus ER- BC PRS in the same sample
Fig. 2
Fig. 2
Boxplots and two-sided Welch’s t-test p values of standardized polygenic risk scores (overall breast cancer (BC), estrogen receptor (ER)-positive BC (ER+), ER-negative BC (ER-) PRS) of 183 BRCA1 and 112 BRCA2 pathogenic variant carriers, who were either diagnosed with BC before the age of 35 years (early diagnosis, ED) or were unaffected at least until the age of 60 years (late/no diagnosis, LD)

References

    1. Easton DF, Pharoah PD, Antoniou AC, Tischkowitz M, Tavtigian SV, Nathanson KL, Devilee P, Meindl A, Couch FJ, Southey M, et al. Gene-panel sequencing and the prediction of breast-cancer risk. N Engl J Med. 2015;372(23):2243–57. doi: 10.1056/NEJMsr1501341. - DOI - PMC - PubMed
    1. Kuchenbaecker KB, Hopper JL, Barnes DR, Phillips K-A, Mooij TM, Roos-Blom M-J, Jervis S, Van Leeuwen FE, Milne RL, Andrieu N, et al. Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. Jama. 2017;317(23):2402–16. doi: 10.1001/jama.2017.7112. - DOI - PubMed
    1. Mavaddat N, Peock S, Frost D, Ellis S, Platte R, Fineberg E, Evans DG, Izatt L, Eeles RA, Adlard J, et al. Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE. JNCI J Natl Cancer Inst. 2013;105(11):812–22. doi: 10.1093/jnci/djt095. - DOI - PubMed
    1. Hartmann LC, Lindor NM. The role of risk-reducing surgery in hereditary breast and ovarian cancer. N Engl J Med. 2016;374(5):454–68. doi: 10.1056/NEJMra1503523. - DOI - PubMed
    1. Singer CF. Nonsurgical prevention strategies in BRCA1 and BRCA2 mutation carriers. Breast Care. 2021;16(2):135–9. doi: 10.1159/000507503. - DOI - PMC - PubMed