Li, Shuwei

Abstract Background: Polygenic risk scores (PRS) based on a large number of SNPs associated with breast cancer have recently been made available in combination with multigene panel testing for clinical management of breast cancer risk. Breast cancer risk assessment has historically been performed using various non-genetic risk models, which predict lifetime risk of breast cancer in unaffected women based on personal and family history information. While clinical use of PRS in combination with these models continues to increase, the predictive performance of a PRS combined with clinical information in real-world patient populations has not been thoroughly investigated. Methods: We assessed a 100-SNP breast cancer PRS in combination with the Tyrer-Cuzick model-estimated lifetime breast cancer risk in 5,374 Caucasian women from the case-control Mayo Clinic Breast Cancer Study (MCBCS), comprised of 3,373 breast cancer cases and 2,001 unaffected controls seen at Mayo Clinic from 2004 to 2016. Clinical, family history, and demographic information was collected on all MCBCS participants via questionnaires and medical record review. SNPs were selected for the PRS if they exceeded genome-wide significance in ≥2 large-scale breast cancer genome wide association studies (GWAS) in women of European descent. Selected SNPs were then used to construct a population standardized PRS, accounting for per-allele odds ratios reported in the largest GWAS to date and population-specific allele frequencies. PRS and Tyrer-Cuzick model associations with breast cancer and related clinical features were tested using multivariate logistic regression. Results: Among cases and controls, mean±SD age at diagnosis and study enrollment was 56.4±12.4 and 56.2±14.1, respectively. Approximately 36.9% of cases and 16.9% of controls had ≥1 first- or second-degree relative with breast or ovarian cancer, respectively. Among unaffected women, the median (IQR) estimated lifetime risk of breast cancer to age 85 based on Tyrer-Cuzick alone was 8.3% (6.9%), and 2.6% had a clinically actionable lifetime risk of ≥20%. The mean±SD sum of the risk alleles across 100 SNPs was significantly higher for cases vs. controls (94.8±6.3 vs. 92.7±6.2, p<0.001). Compared to women in the lowest quartile of PRS, those in the 2nd, 3rd and 4th quartiles were 1.47 (95% CI: 1.26-1.72), 1.87 (95% CI: 1.60-2.19), and 2.22 (95% CI: 1.89-2.61) times more likely to have breast cancer after adjustment for age and family history. The AUC was 0.59 (95% CI: 0.58-0.61) for PRS and 0.60 (95% CI: 0.58-0.61) for Tyrer-Cuzick model estimated risk alone; but when combined, the model achieved an AUC of 0.63 (95% CI: 0.62-0.65). Among unaffected women, 6.7% had ≥20% lifetime risk of breast cancer based on the combined PRS-clinical model. Conclusions: These findings suggest that the 100-SNP PRS significantly improves estimation of breast cancer risk based on non-genetic models, and can be used to further identify women at increased lifetime risk who would otherwise not be identified by clinical assessment alone. Citation Format: Mary Helen Black, Shuwei Li, Holly LaDuca, Sebastian Armasu, Eric C. Polley, Patrick Fitz-Gibbon, Chris G. Scott, Stacey J. Winham, Janet E. Olson, Kathryn J. Ruddy, Celine M. Vachon, Fergus J. Couch. Performance of a polygenic risk score combined with clinical assessment for breast cancer risk [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-07-06.

Abstract While the population-based risk for breast cancer in males remains relatively low (1:1000), inherited predisposition can significantly raise this to as high as 10%, in men who carry a mutation in the BRCA2 gene. Lifetime breast cancer risks of 1-2% have also been reported in men who carry a mutation in BRCA1. These risks, as well as elevated risks of prostate, pancreatic, and melanoma cancers, are important to discuss in families diagnosed with Hereditary Breast and Ovarian Cancer Syndrome, which is often viewed as being clinically relevant only to the women in an affected family. However, beyond the BRCA1/2 genes, limited data is available on hereditary predisposition to male breast cancer. We analyzed clinical histories and molecular results from multi-gene panel testing for hereditary cancer predisposition in a cohort of 715 men affected by breast cancer. A total of 708 male breast cancer patients were eligible for inclusion in the final analysis. Molecular testing included analysis of 5 to 59 genes for DNA coding sequence and copy number variants by next-generation sequencing and microarray. Genetic variants identified were classified according to a 5-tier system using previously validated algorithms1,2. Only those variants classified as pathogenic or likely pathogenic were included in the analyses as positive for a mutation. Overall, a mutation was detected in 18% of these men. Four subjects carried a mutation in two different breast cancer predisposition genes. BRCA2 and CHEK2 were the most frequently mutated genes. The risk of breast cancer was significantly elevated compared to public controls in individuals with a mutation in BRCA2 (odds ratio (OR)=13.9; p=1.92x10-16), CHEK2 (OR=3.8; p=6.24x10-24) and PALB2 (OR=6.6, p=0.01). Average age was similar amongst men with (63.5±2.7 years) and without (62.3±1.2 years) mutations, as were clinical and family histories of additional cancers. The high overall diagnostic yield suggests the utility of testing all male breast cancer patient regardless of age or family history by multigene panel testing, and provides data to support risk-based counseling and medical recommendations for screening and/or prevention in male mutation carriers. 1. 1. LaDuca et al. Genet Med. 2014 Nov;16(11):830-7 2. 2. Richards et al. Genet Med. 2015 May;17(5):405-24 Citation Format: Elizabeth C. Chao, Mary Pritzlaff, Summerour Pia, Rachel McFarland, Shuwei Li, Jill Dolinsky, David Goldgar, Hermela Shimelis, Fergus Couch, LaDuca Holly. Hereditary risks of male breast cancer in a multi-gene panel testing cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3406. doi:10.1158/1538-7445.AM2017-3406