Couch, Fergus J.

10511 Background: Germline BRCA2 loss-of function (LOF) variants identified by clinical genetic testing predispose to breast, ovarian, prostate and pancreatic cancer. However, variants of uncertain significance (VUS) (n > 4000) limit the clinical use of testing results. Thus, there is an urgent need for functional characterization and clinical classification of all BRCA2 variants. Here we report on comprehensive saturation genome editing (SGE)-based functional characterization of 97% of all possible single nucleotide variants (SNVs) in the BRCA2 DNA Binding Domain hotspot encoded by exons 15 to 26 for pathogenic missense variants. Methods: SGE of exons 15 to 26 of BRCA2(MANE transcript ENST00000380152.8) was performed in the haploid human HAP1 cell line. Each exon along with 10bp flanking intronic sequence was studied as an independent target region. The most efficient sgRNA for each target region was selected and cloned into a Cas9 expressing plasmid. Site-saturation mutagenesis (SSM) libraries for each of the 14 target regions were designed to target every nucleotide and were generated by site directed mutagenesis using NNN-tailed PCR primers. HAP1 cells were transfected and harvested at Day5 and 14. Cell survival in response to each variant was assessed based on deep sequence analysis of the surviving endogenously targeted HAP1 cells at Day 5 and Day 14. Results: A total of 7013 SNVs were characterized as functionally abnormal (n = 955), intermediate/uncertain, or functionally normal (n = 5224) based on 95% precision for ClinVar known pathogenic and benign standards. Results were validated relative to batches of nonsense and synonymous variants and variants evaluated using a homology directed repair (HDR) functional assay. Breast cancer case-control association studies showed that pooled SNVs encoding functionally abnormal missense variants were associated with increased risk of breast cancer (odds ratio (OR) 3.89, 95%CI: 2.77-5.51). The functional data were added to other sources of information in a ClinGen/ACMG/AMP-like model and 700 functionally abnormal SNVs, including 220 missense SNVs, were classified as pathogenic or likely pathogenic, while 4862 functionally normal SNVs, including 3084 missense SNVs, were classified as benign or likely benign. Conclusions: The production of functional maps for 97% of all SNVs in the BRCA2 DBD allowed for separation of nucleotide/protein-level functional aberrations. When coupled with genetic and clinical sources of evidence this study led to clinical classification of 5500 individual variants. These data will prove useful in the future, through integration with other datasets, for characterization and clinical classification of all variants in this region in individuals from all racial and ethnic backgrounds and for all BRCA2 associated forms of cancer.

PURPOSE The emergence of large real-world clinical databases and tools to mine electronic medical records has allowed for an unprecedented look at large data sets with clinical and epidemiologic correlates. In clinical cancer genetics, real-world databases allow for the investigation of prevalence and effectiveness of prevention strategies and targeted treatments and for the identification of barriers to better outcomes. However, real-world data sets have inherent biases and problems (eg, selection bias, incomplete data, measurement error) that may hamper adequate analysis and affect statistical power. METHODS Here, we leverage a real-world clinical data set from a large health network for patients with breast cancer tested for variants in BRCA1 and BRCA2 (N = 12,423). We conducted data cleaning and harmonization, cross-referenced with publicly available databases, performed variant reassessment and functional assays, and used functional data to inform a variant's clinical significance applying American College of Medical Geneticists and the Association of Molecular Pathology guidelines. RESULTS In the cohort, White and Black patients were over-represented, whereas non-White Hispanic and Asian patients were under-represented. Incorrect or missing variant designations were the most significant contributor to data loss. While manual curation corrected many incorrect designations, a sizable fraction of patient carriers remained with incorrect or missing variant designations. Despite the large number of patients with clinical significance not reported, original reported clinical significance assessments were accurate. Reassessment of variants in which clinical significance was not reported led to a marked improvement in data quality. CONCLUSION We identify the most common issues with BRCA1 and BRCA2 testing data entry and suggest approaches to minimize data loss and keep interpretation of clinical significance of variants up to date.

Abstract Background: Multiple studies have confirmed the central role of preexisting immune response measured by stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative breast cancer (TNBC). Emerging studies showed that not only the number of TILs but also the location of TILs is important. There are 3 distinct immune architectures described based on the amount and locations of TILs, namely immune enriched (IN), immune excluded (IE), and immune desert (ID). Here we evaluated outcomes and characteristics associated with each immune landscape. Methods: NanoString Digital Spatial Profiling (DSP) and CosMx, a spatial multi-omics single-cell imaging platform, were performed in 75 samples from the Mayo Clinic (MC) TNBC cohort (Leon-Ferre BCRT 2018). NanoString IO360 was performed in 114 samples from the FinXX trial ( NCT00114816) . Firstly, tumors with sTIL quantified by H&E ≤ 30% were classified as ID. The rest of the tumors with high sTIL > 30% were categorized according to the intratumoral CD8 protein expression by DSP, with IE having intratumoral CD8 in the lower median and IN having intratumoral CD8 in the upper median. Chi-square test, gene set enrichment, Cox regression, and Kaplan-Meier analysis were used. Differential expression listed as log 2-fold change (FC) was estimated from the linear mixed model with significance defined as two-sided p< 0.05. Results: ID is associated with low Ki67 < 5% (23.3% vs. 9.6% ID, p 0.02) as well as apocrine (11/13, 84.6%) and metaplastic histology (10/12, 83%). In both univariate and multivariate analysis, patients with IN had significantly improved recurrence-free survival (RFS) compared to those with ID (HR 0.37, 95%CI 0.18-0.74, p 0.005). Despite having high sTILs, IE had poor outcomes similar to ID (HR 0.84, 95%CI 0.36-1.98). Strikingly, we identified that IE patients had significantly lower plasmacytoid dendritic cells (pDCs) compared to IN (mean 0 vs. 0.26/100 tumor cells, 95%CI 0.08-0.43 , p 0.01). Using Gene Set Enrichment Analysis to evaluate differential hallmarks between IN and IE, we identified IF Nɑ and IFNγ (FDR < 0.001) responses as significantly enriched in IN group, consistent wi th the function of pDCs, which are a subset of dendritic cells specialized in secreting high levels of type I interferon. To validate this finding, we further evaluated the 11 leading edge gene IFNɑ signature in the FinXX trial. A high IFNɑ signature score was associated with significantly improved outcomes in the FinXX trial (HR 0.21, 95%CI 0.09-0.51 , p < 0.001). Similar findings were observed using Kaplan-Meier analysis in the FinXX trial with significantly improved RFS (p 0.0006) and overall survival (p 0.0001) in patients with high IFNɑ signature scores. Furthermore, we evaluated the differential gene expression unique to IN tumors in the Mayo cohort. Expressions of MHC class I and class II in tumor cells, including HLA-A, HLA-B, HLA-C, HLA-DRA, HLA-DRB1, HLA-DPA1, and HLA-E, were associated with IN and significantly improved outcomes (p < 0.05) compared to ID and IE. Conclusions: Highlighting the importance of spatial context, we identified that patients with IE tumors had poor outcomes despite having high TILs. Moreover, u sing an in-depth analysis with spatially defined context, we identified the central role of pDC and the significance of IF Nɑ in TNBC. Support: Breast Cancer Research Foundation, Mayo Clinic Breast Cancer SPORE (P50CA116201-17) W81XWH-15-1-0292, P50CA015083, R35CA253187 Citation Format: Saranya Chumsri, Yi Liu, Yaohua Ma, Jodi Carter, Mark Gregory, Sarah Church, Jason Reeves, Heather Ann Brauer, Sarah Warren, Heikki Joensuu, Edith Perez, Roberto Leon-Ferre, David Hillman, Judy Boughey, James Ingle, Krishna Kalari, Fergus Couch, Matthew Goetz, Keith Knutson, E. Thompson. The spatially resolved single-cell atlas of the tumor immune architecture revealed the central role of IFN-alpha and plasmacytoid dendritic cells in triple-negative breast cancer in the Mayo Clinic cohort and FinXX trial [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS03-03.

Abstract Background: Eyebrow and eyelash loss, known as madarosis, can occur secondary to breast cancer-directed therapy. However, the incidence and predictors of this phenomenon are not well-known. The purpose of this study is to ascertain the proportion of breast cancer survivors who experience madarosis, potential contributing factors to eyebrow and eyelash loss, and associations between this symptom and mental health. Methods: Breast cancer survivors were invited to participate in an ongoing longitudinal cohort study, the Mayo Clinic Breast Disease Registry (MCBDR), after having been seen at least once for breast cancer at Mayo Clinic in Rochester, MN. Those who consented were mailed a survey approximately one year after diagnosis. Respondents were asked to report their degree of eyebrow and eyelash loss experienced since their diagnosis on a 4-point scale of “no loss” (0) to “complete loss” (3). The proportions of participants who reported eyebrow and eyelash loss were evaluated overall and according to treatment type by descriptive statistics. Relationships between eyebrow and eyelash loss and mental health scores collected using the PROMIS-10 project scales (ranging from 0-20), with the poorest mental health indicated by scores under 8, were explored. Results: 838 registry participants responded to the year 1 survey’s alopecia questions. The median age of breast cancer survivors was 59.4 years (range 22-100 years). The majority were diagnosed at stage I-II (69%). 315 (37%) had received chemotherapy (+/- endocrine therapy), 415 (50%) had received endocrine therapy only, and 108 (13%) had received neither. Nearly half reported eyebrow loss (49%) or eyelash loss (49%). Eyebrow loss was reported by 89% of chemotherapy recipients, 27% of endocrine therapy only recipients, and 19% of those not treated with chemotherapy or endocrine therapy. 102 (32%) of those with chemotherapy-associated eyebrow loss reported that it was complete. Eyelash loss was reported by 274 (87%) of chemotherapy recipients, 112 (27%) of endocrine therapy only recipients, and 23 (21%) of those who received neither. Although no formal statistical testing was performed, there was a numerically higher proportion of patients with eyebrow and/or eyelash loss who reported poor mental health. Conclusions: Madarosis is a bothersome symptom in cancer survivors, particularly after chemotherapy. Future investigation into the incidence, predictors, and treatment of anti-neoplastic medication-related madarosis is needed. Table. Global mental health scores on PROMIS scale for eyebrow and eyelash loss Citation Format: Sarah Premji, Kathryn Ruddy, Nicole Larson, Charles Loprinzi, Brittany Dulmage, Maryam Lustberg, Fergus Couch, Janet Olson, Elizabeth Cathcart-Rake. Eyebrow and eyelash loss in breast cancer survivors [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-12-10.

Abstract Artificial intelligence (AI) models based on deep learning of mammogram images have been developed for lesion detection and diagnosis as well as breast cancer (BC) risk. We and others have shown that these AI models, coupled with breast density, predict long-term breast cancer risk. Common germline genetic variation, in particular a polygenic risk score (PRS) that captures the cumulative impact of hundreds of common risk variants, has been shown associated with 3-fold increased BC risk. The BC-PRS may complement imaging risk factors to improve identification of women at high BC risk and better target prevention strategies. We evaluated the contribution of a BC-PRS to two imaging-based AI models (Transpara AI cancer detection system and Mirai 5-year risk) and breast density measures to long-term BC risk. We hypothesized that the BC-PRS will improve long-term risk prediction above AI and density measures. We examined this hypothesis within a cohort of 10,271 women enrolled to the Mayo Clinic Biobank between 2009 and 2015. Eligible women had no prior cancer, were ages 35 to 85, had a full-field digital screening mammogram within two years of enrollment and genotyping by Regeneron. Incident invasive and DCIS BC was identified through the Mayo tumor registry and follow-up questionnaires, and person years were calculated from date of mammogram through date of BC, last mammogram at Mayo or last questionnaire. We estimated Transpara AI malignancy score (1-10), 5-year Mirai risk and Volpara volumetric density measures (volumetric percent density, dense volume) on screening mammograms at enrollment and obtained clinical BI-RADS density. We calculated the BC-PRS using 268 SNPs (of the 313-SNP score) and the weighted sum of the SNPs using odds ratios from the largest BC GWAS of European ancestry to date. We performed cox proportional hazards regression adjusting for age and BMI to estimate hazard ratios (HRs), 95% confidence intervals (CI), and C-statistics (AUC) to describe the contribution of BC-PRS (per standard deviation (SD)) to the association of AI scores and breast density with BC risk. Likelihood ratio tests (LRT) and bootstrapping were used to compare model performance with vs. without inclusion of BC-PRS, at 10-years follow-up. Comparisons to the Tyrer-Cuzick model are ongoing. Over a median of 9.1 years (Interquartile range, 6.8 to 10.6), 446 incident BC were identified of which 285 invasive and 103 DCIS were confirmed by pathology report (60 were self-reported); 399 (256 invasive) occurred within 10 years and were used in primary analyses. Transpara score [HR per 1 unit=1.18 (1.14, 1.23), AUC=0.655 (0.628, 0.682)] and Mirai risk [HR per SD log risk=1.54 (1.43, 1.65), AUC=0.681 (0.655, 0.706)] were both associated with BC. All three breast density measures were also significantly associated with BC, including in models with AI scores (Table). Addition of the BC-PRS to models with AI scores and breast density improved both model fit (All PLRT < 0.001; Table) and discrimination, with increases in AUC ranging from 0.033 to 0.034 for models with Transpara and density and 0.025 to 0.026 for models with Mirai and density (all P-values < 0.001; Table). Analyses restricted to invasive BC showed identical results. But, the BC-PRS contribution at 5-year follow-up was attenuated. In this cohort study, we found BC-PRS contributed to long-term risk prediction of BC above imaging AI models and breast density. Imaging and genetic risk factors are complementary and may outperform existing risk models and provide more accurate risk assessment to aid in precision prevention strategies. Citation Format: Celine Vachon, Christopher Scott, Imon Banerjee, Ramon Correa Moderno, Dan Hursh, Matthew Jensen, Yvonne Wang, Kathleen Brandt, Karla Kerlikowske, Sandhya Pruthi, Fergus Couch, Stacey Winham. Contribution of a breast cancer polygenic risk score to mammography artificial intelligence models and breast density for long term breast cancer risk prediction [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS10-06.

Abstract Background: Germline Pathogenic Variants (PVs) in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are known to increase breast cancer (BCa) risk, but the effect of these PVs on tumor biology is not well-understood. Ki-67 is an established prognostic marker in hormone receptor (HR) positive breast cancer but the distribution of Ki-67 in breast cancer associated with germline PVs is not known. Methods: The study included patients with loco-regional (Stage I-III) HR-positive (ER+ or PR+), HER2-negative invasive ductal or lobular breast cancer evaluated at Mayo Clinic for curative intent treatment between 2012 and 2021. PV carrier status was ascertained in more than two-thirds of cases from germline whole exome sequencing (Regeneron) of patients who participated in a prospective registry at Mayo Clinic. Additional PV carriers were identified through a review of the results of clinical germline genetic testing in electronic medical records aided by natural language processing. Clinically performed Ki-67 values were abstracted from electronic medical records and analyzed as continuous and categorical variables (low: < 20% vs. high: ≥20%). Throughout the timeline of the study, a consistent method for assessment of Ki-67 was utilized at Mayo Clinic, Rochester: Immunohistochemical staining of the Ki-67 antigen in formalin-fixed paraffin-embedded tissue was performed using MIB-1 clone, the scanned slides were reviewed by a technologist and traced areas further analyzed for Ki-67 using Aperio Software. Patients who received neoadjuvant therapy prior to the assessment of Ki-67, with metastatic disease at diagnosis, with PVs in two or more genes of interest, or unknown germline PV or Ki-67 status were excluded from the analysis. Multiple primary tumors in the same patient diagnosed within one year of each other were analyzed independently. The control (non-carrier) group included randomly selected patients from the prospective registry who tested negative for PVs in the five genes over the same time period. Ki-67 values were compared between germline PV carriers and non-carriers in a multivariable logistic regression analysis adjusting for sex, race, age at diagnosis, stage at presentation, and histology of the tumor. Results: A total of 113 HR+/HER2- tumors from 111 PV carriers (ATM: 27, BRCA1: 24, BRCA2: 28, CHEK2: 22, and PALB2:12) along with 431 HR+/HER2- tumors from 422 randomly selected non-carriers were evaluated. The majority (>95%) of patients were non-Hispanic White. Germline PV carriers in each gene were diagnosed at a significantly younger age (P< 0.05) compared to non-carriers. The median Ki-67 value was 12 (Range: 1 to 93) for non-carriers, 16 (Range: 0 to 79) for ATM, 31 (Range: 4 to 86) for BRCA1, 30 (Range: 6 to 80) for BRCA2, 13 (Range: 1 to 38) for CHEK2, and 20 (Range: 3 to 46) for PALB2 PV carriers. In multivariable analysis, compared to non-carriers, we observed significantly higher odds of a high Ki67 value (≥20%) for tumors arising from germline PV carriers in BRCA1 (Odds Ratio (OR): 7.3, 95%CI: 2.3 – 23.3, p< 0.001), BRCA2 (OR: 3.0, 95%CI: 1.2 – 7.4, p=0.02) and PALB2 (OR: 3.9, 95%CI: 1.1 – 14.5, p=0.04). No such relationship was observed with either ATM (OR: 1.1, 95%CI: 0.4 – 2.9, p=0.81) or CHEK2 (OR: 0.8, 95%CI: 0.3 – 2.2, p=0.63). Conclusion: This study reveals that HR+/HER2- tumors in BRCA1, BRCA2, and PALB2 PV carriers have a significantly higher Ki-67 expression compared to non-carriers. These findings have implications for understanding prognosis and endocrine response PV with HR+ breast cancer. Further exploration of the relationships between Ki67 and germline PV status is necessary to personalize systemic therapy options in germline PV carriers. Acknowledgments: Thank you to Regeneron Genetics Center. The study was funded in part by the NIH Specialized Program of Research Excellence in Breast Cancer [P50CA116201] to Mayo Clinic, Mayo Clinic Department of Oncology Small Grants Program, and the Paul Calabresi Program at Mayo Clinic Citation Format: Robert Scheel, Grace Choong, Tara Rao, Nicholas Boddicker, Chunling Hu, Jie Na, Vinod Kaggal, Sean Murphy, Karthik Giridhar, Saba Yasir, Matthew Goetz, Fergus Couch, Siddhartha Yadav. Ki-67 Expression in Breast Cancer associated with ATM, BRCA1, BRCA2, CHEK2 and PALB2 Pathogenic Variants [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-08-07.

Abstract Background: Retrospective studies suggest that breast cancer survivors report treatment-associated hair loss or thinning years after their initial diagnosis. This study investigates patient perceptions of alopecia persisting 6 years after the diagnosis of breast cancer. Methods: Breast cancer survivors who had signed informed consent for participation in a prospective longitudinal cohort study, the Mayo Clinic Breast Disease Registry (MCBDR), after diagnosis of breast cancer approximately six years prior, were mailed a survey. This survey asked about degree of bother from hair thinning and hair loss on a scale from 0 “not at all” to 4 “extremely” and about use of hair thickening/regrowth products. PROMIS-10 project scales assessed global mental health (5: worst mental health, 20: best mental health). Data were analyzed using descriptive statistics. Results: 969/1476 participants responded (response rate 65.7%); 819 participants were available for analysis. Participant median age was 65.7 years (range 34 -100 years). 604 (73%) had been diagnosed with stage I-II breast cancer, 248 (30%) had received chemotherapy (+/- endocrine therapy), 365 (45%) had received only endocrine therapy, and 206 (25%) had received neither. Nearly half (381, 47%) reported hair loss and over half (468, 57%) reported hair thinning. 155 (19%) used hair regrowth products. Amongst the 526 who were 55 years and older, 270 (51%) reported hair loss and 323 (61%) hair thinning; 111 (38%) of the 291 women under 55 years reported hair loss and 145 (50%) hair thinning. Twenty-eight percent of chemotherapy recipients, 18% of patients who did not receive chemotherapy but received endocrine therapy, and 14% of patients who had received neither reported continued difficulty with moderate to extreme hair loss. Moderate to extreme bother from hair thinning was reported by 34% of chemotherapy recipients, 22% of endocrine therapy-only recipients, and 18% of those who had received neither. See the table for associations between mental health scores and hair loss/thinning. Use of hair growth products was reported by 29% of chemotherapy recipients, 14% of endocrine therapy-only recipients, and 15% of those who had received neither oncologic therapy. Conclusions: Hair loss and thinning are frequently reported as persistently bothersome symptoms from breast cancer survivors. Future investigations into the incidence, predictors, and treatment of chemotherapy and endocrine therapy-associated alopecia are needed. Global mental health scores on PROMIS scale for hair loss and hair thinning Citation Format: Sarah Premji, Kathryn Ruddy, Nicole Larson, Charles Loprinzi, Brittany Dulmage, Maryam Lustberg, Fergus Couch, Janet Olson, Elizabeth Cathcart-Rake. Delayed alopecia among breast cancer survivors [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-13-09.

Abstract Background: The 21-gene recurrence score assay (Oncotype DX, Genomic Health Inc., CA) is prognostic, quantifies predicted benefit of adjuvant chemotherapy, and informs clinical decisions for patients with early-stage, hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) breast cancer (BC). Differences in Oncotype recurrence scores (RS) in individuals with and without BRCA1 and BRCA2 (BRCA1/2) pathogenic variants (PV) have been demonstrated, but the results of this assay in patients with BC and germline PALB2 PV have not previously been described. This is of particular relevance as PALB2 BC has demonstrated biologic features similar to BRCA1/2 BC such as poly(adenosine diphosphate ribose) polymerase inhibitor (PARPi) sensitivity. Methods: Patients with early-stage, HR+, HER2-, invasive breast cancer and a germline PALB2 PV were ascertained from academic cancer center databases and the Prospective Registry of MultiPlex Testing (PROMPT), an online research registry for individuals who have had multigene panel testing for inherited cancer susceptibility. Study participants (pts) were categorized by age < 50 and ≥50. Oncotype DX RS were retrospectively reviewed and categorized as those that would and would not warrant consideration of chemotherapy (≥16 and < 16, respectively, for pts < 50; ≥26 and < 26, respectively, for pts ≥50). Yates corrected Chi-square tests were used to compare RS distributions between carriers and a previously published genetically unselected reference population. Results: Oncotype DX reports were reviewed for 20 pts with BC and germline PALB2 PV. Median RS was 19 (range 6-41) overall. Four patients were diagnosed under the age of 50 (range 33-48); median RS for these individuals was 19 (range 12-41). Sixteen patients were diagnosed at age 50 or greater (median 59, range 50-70); median RS for these individuals was also 19 (range 6-31). Compared to the genetically unselected reference population, Oncotype DX RS in pts with PALB2-associated BC demonstrated a numerical but not statistically significant shift in distribution towards categories in which chemotherapy would be considered. Among pts under the age of 50, 75% had Oncotype DX RS for which chemotherapy would be considered and 25% had Oncotype DX RS for which endocrine therapy alone would likely be recommended (p=0.726 compared to reference). Among pts aged 50 and older, 25% had Oncotype DX RS for which chemotherapy would be considered and 75% had Oncotype DX RS for which endocrine therapy alone would likely be recommended (p=0.579 compared to reference). Conclusions: Compared to data from the published genetically unselected commercial database, BC associated with PALB2 PV may have higher Oncotype DX RS reflective of intrinsically less favorable biology and greater therapeutic sensitivity. Larger datasets are forthcoming to confirm presence of significant differences in Oncotype DX RS distributions between BC with and without PALB2 PV. Table 1. Oncotype DX RS distribution by age among pts with gPALB2 PV and genetically unselected reference *Jakubowski et al., J Surg Oncol 2020. PMID 3249731 Citation Format: Payal Shah, Siddhartha Yadav, Jamie Brower, Jada Hamilton, Erica Simmons, Judy Garber, Kenneth Offit, Mark Robson, Fergus Couch, Susan Domchek. Twenty-one gene recurrence scores in individuals with breast cancer associated with PALB2 germline pathogenic variants [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-09-03.

Abstract Despite the current binary clinical classification of variants (pathogenic versus benign), it is widely recognized that risk is a continuum. Prior studies have suggested the existence of reduced penetrance pathogenic variants (RPPVs), which pose challenges for identification, reporting, patient counseling and care. Through the current study, we sought to establish RPPVs as a new category of variants, with efforts focused specifically on BRCA1 and BRCA2 (BRCA). We compiled, compared, and assessed data for BRCA RPPVs from two large clinical diagnostic laboratories to establish an initial set of reduced penetrance pathogenic variants. Specifically, candidate BRCA RPPVs provided by clinical diagnostic laboratories were compiled to identify those with the highest prior likelihood of being a RPPV, based on concordant interpretations. Evidence of reduced penetrance included: 1) the identification of biallelic Fanconi Anemia-affected carriers; 2) splicing, missense, and nonsense-mediated RNA decay (NMD)-escaping variants; 3) laboratory-validated cancer history weighting models; 4) published variant-specific risk estimation data; 5) extrapolation of a reduced-risk interpretation onto close match variants that are expected to have the same effect; and 6) functional data. Sixteen candidate BRCA RPPV present in both lists from both laboratories were systematically assessed. For BRCA1, variants included c.5096G>A p.(Arg1699Gln) and variants impacting the canonical c.671 splice acceptor site. For BRCA2, variants included three frameshift (c.658_658delGT, c.9672dupA, c.9699_9702delTATG), two spliceogenic (c.8488-1G>A and c.8488-1G>T), and three missense (c.7878G>C, T, p.(Trp2626Cys); and c.9302T>G p.(Leu3101Arg)) variants. Our study is the first to clearly evaluate and establish BRCA RPPVs as a new class of variants, based on consistency in results across 16 variants using different interpretation strategies between laboratories. These variants impart a moderately increased risk of breast cancer, often considered to be between 2-4 fold, which should be considered when determining risk-informed cancer prevention strategies. Furthermore, our study establishes a framework to harmonize interpretation and standardize reporting of BRCA RPPV, by providing evidence to support this new classification for 16 variants. Further work to define clinically meaningful risk thresholds and categories for reporting BRCA RPPV are needed to personalize cancer risks in conjunction with other risk factors. Citation Format: Tuya Pal, Erin Mundt, Marcy Richardson, Elizabeth Chao, Tina Pesaran, Thomas P. Slavin, Fergus Couch, Alvaro N. Monteiro. Reduced penetrance BRCA1 and BRCA2 pathogenic variants in clinical germline genetic testing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6615.

Abstract The success of precision cancer prevention and treatment hinges on accurate discrimination between benign and pathogenic germline alleles in cancer susceptibility genes. Variants of uncertain clinical significance (VUS) present a challenge for cancer risk assessment and functional data will be essential to resolve many VUS. To address this, we developed a cloud-based environment to collate, curate, integrate and analyze all published functional data related to BRCA1 and BRCA2 missense VUS. Then, functional evidence criteria for pathogenicity were determined for each assay using the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) classification guidelines and ClinGen criteria. Our approach involved retrieving published articles reporting one or more functional assays of BRCA1/2 missense variants reporting variant impact on various biochemical and cell biological functions. Functional results were recorded using original authors' thresholds and categories, then converted to ordinal variables to harmonize: [0 = no functional impact], [1 = intermediate impact], and [2 = functional impact]. For BRCA1, we updated our previous published integration (Genet Med. 2021;23:306-315) with 14 additional publications, collating results from 53 instances of functional assays reporting functional data on 3,219 unique missense variants. For BRCA2, 28 publications were identified reporting data from 141 instances of functional assays on 4,759 unique missense variants. Utilizing a panel of 542 and 396 known pathogenic and benign reference variants for BRCA1 and BRCA2, respectively, we determined the sensitivity, specificity, and ACMG/AMP odds of pathogenicity for each instance of the assay. The remaining variants were assigned a relevant functional assay code weight for each assay instance. Our study successfully derived ACMG/AMP evidence strength from functional data for 3,040 BRCA1 (94% of 3,219) and 2,704 BRCA2 (57% of 4,759) missense variants. This comprehensive work underscores the utility of functional data in informing classification of BRCA1 and BRCA2 missense VUS. Citation Format: Paulo Lyra, Lucas Dalcolmo, Michael Parsons, Thales Nepomuceno, Samuel Brito, Nam Phuong N. Nguyen, Geise de Oliveira, Joao Paulo da Siva, Laura Caleca, Tanisha Taneja, Chunling Hu, Marcy Richardson, Maria Rossing, Aditi Hazra, Alexandra Martins, Sandrine Caputo, Gael A. Millot, Joanne NgeowYuen Yie, Marcelo A. Carvalho, Melissa Cline, Paolo Radice, Rachael Carlsen, Romy Mesman, Valentina Zampiga, Rehan Villani, Vijay Josef, Shyam Sharan, Kyriaki Michailidou, Amanda B. Spurdle, Fergus Couch, Maaike P.G. Vreeswijk, Alvaro N. Monteiro. Integration of functional data to classify BRCA1/2 missense variants: An ENIGMA project [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7325.