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Couch, Fergus J.

https://orcid.org/0000-0001-9417-9985

Mayo Clinic

Mayo Clinic

Citations 371

Mutation prevalence tables for hereditary cancer derived from multigene panel testing
Hart, Steven N. , Yussuf, Amal , Yadav, Siddhartha , Goldgar, David E. , Hu, Chunling , LaDuca, Holly , Smith, Laura P., Fujimoto, June, Li, Shuwei , Dolinsky, Jill S. , Polley, Eric C. , Yadav, Siddhartha , Hart, Steven N , Hu, Chunling , Couch, Fergus J.

Human Mutation | May 22, 2020 | Volume: 41 | Issue: 8 | Pages: No page available

10.1002/humu.24053 Get It

Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk
Middha, Pooja , Choudhury, Parichoy Pal , Wilcox, Amber N , Lindström, Sara , Behrens, Sabine , Michailidou, Kyriaki , Bolla, Manjeet K. , Wang, Qin , Jung, Audrey , Abu‐Ful, Zomoroda, Andrulis, Irene L. , Aronson, Kristan J. , Auer, Paul L. , Becher, Heiko , Beckmann, Matthias W. , Beeghly‐Fadiel, Alicia, Bojesen, Stig E. , Brauch, Hiltrud , Brenner, Hermann , Brüning, Thomas , Campa, Daniele , Carracedo, Ángel , Carter, Brian D., Castelao, Jose E. , Chatterjee, Nilanjan , Chenevix‐Trench, Georgia , Cox, Angela , Earp, H. Shelton , Ekici, Arif B. , Eliassen, A. Heather , Eriksson, Mikael , Evans, D. Gareth , Fasching, Peter A. , Figueroa, Jonine D. , Gabrielson, Marike , Gago-Domínguez, Manuela , Gao, Chi , Gapstur, Susan M. , Gaudet, Mia M. , González‐Neira, Anna , Guénel, Pascal , Haeberle, Lothar, Haiman, Christopher A. , Håkansson, Niclas , Hamann, Ute, Hatse, Sigrid , Holleczek, Bernd , Hoover, Robert N. , Hopper, John L. , Hunter, David J. , Investigators, ABCTB, Investigators, kConFab/AOCS, John, Esther M. , Jones, Michael E. , Kaaks, Rudolf, Keeman, Renske , Ko, Yon-Dschun, Koutros, Stella , Kurian, Allison W. , Lambrechts, Diether , Lee, Eunjung , Lejbkowicz, Flavio, Linet, Martha S. , Lissowska, Jolanta , Llaneza, Ana, MacInnis, Robert J. , Martinez, Maria Elena, Maurer, Tabea, Newman, William G, Orr, Nick , Perou, Charles M. , Pita, Guillermo , Prentice, Ross L. , Rennert, Gad , Rennert, Hedy S., Ruddy, Kathryn J. , Schoemaker, Minouk J. , Scott, Rodney J. , Smeets, Ann , Spinelli, John J. , Stone, Jennifer , Taylor, Jack A. , Vachon, Celine M. , Veen, Elke M. van , Weltens, Caroline , Yang, Xiaohong R. , Easton, Douglas F. , García‐Closas, Montserrat , Chang‐Claude, Jenny, Newman, William G. , Lambrechts, Diether , Norman, Aaron, Polley, Eric C. , Lambrechts, Diether , Rennert, Gad , Behrens, Sabine , Lissowska, Jolanta , Evans, D Gareth , John, Esther M , Maclnnis, Robert , Perou, Charles M , Jones, Michael E , Lambrechts, Diether , Brenner, Hermann , Cox, Angela , Gago-Dominguez, Manuela , Guénel, Pascal , Kapoor, Pooja Middha , Koutros, Stella , Newman, William G , García-Closas, Montserrat , Ekici, Arif B , Michailidou, Kyriaki , Taylor, Jack A , Chenevix-Trench, Georgia , Kurian, Allison W , Eriksson, Mikael , Figueroa, Jonine D , Jung, Audrey Y , Becher, Heiko , Eliassen, A Heather , Gabrielson, Marike , Håkansson, Niclas , Stone, Jennifer , Bojesen, Stig E , Schoemaker, Minouk J , Wang, Qin , Brauch, Hiltrud , Orr, Nick , Mavaddat, Nasim , Hurson, Amber N. , Dennis, Joe , Ahearn, Thomas U. , Anton‐Culver, Hoda , Arndt, Volker , Freeman, Laura E. Beane , Beeghly‐Fadiel, Alicia , Benı́tez, Javier , Bernstein, Leslie , Cai, Qiuyin , Canzian, Federico , Chanock, Stephen Jacob , Clarke, Christine L. , Couch, Fergus J. , Cross, Simon S. , Czene, Kamila , Dai, James Y. , Fritschi, Lin , Giles, Graham G. , Hall, Per N , Heyworth, Jane , Howell, Anthony , Investigators, ABCTB, Investigators, kConFab/AOCS, Kitahara, Cari M. , Ko, Yon‐Dschun, Marchand, Loı̈c Le , McLean, Catriona , Neuhausen, Susan L. , Norman, Aaron D. , O’Brien, Katie M. , Olshan, Andrew F. , Olson, Janet E. , Olsson, Håkan , Sandler, Dale P. , Saunders, Christobel , Schöttker, Ben , Schumacher, Fredrick R. , Scott, Christopher G. , Shu, Xiao‐Ou , Southey, Melissa C. , Swerdlow, Anthony J. , Tamimi, Rulla M. , Troester, Melissa A. , Vachon, Celine M. , Wang, Xiaoliang , Weinberg, Clarice R. , Willett, Walter C. , Winham, Stacey J. , Wolk, Alicja , Zheng, Wei , Ziogas, Argyrios , Dunning, Alison M. , Pharoah, Paul D.P. , Schmidt, Marjanka K. , Kraft, Peter , Milne, Roger L.

JNCI: Journal of the National Cancer Institute | April 23, 2020 | Volume: 113 | Issue: 3 | Pages: 329-337

10.1093/jnci/djaa056 Get It

Abstract We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.
Abstract PD3-03: Impact of the breast cancer polygenic risk score on preventive endocrine therapy adherence and endocrine therapy usage on quality of life - The Genetic Risk Estimate (GENRE) trial
Pruthi, Sandhya , Schaid, Daniel J. , Cooke, Andrew , Grenier, Debjani, Vachon, Celine M. , Kim, Julian O. , Kim, Christina , Goldenberg, Benjamin A. , Sinnwell, Jason P. , Couch, Fergus J. , Vachon, Celine M.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD3-03-PD3-03

10.1158/1538-7445.sabcs19-pd3-03 Get It

Abstract Background: Studies demonstrate breast cancer risk reduction of 50-65% with the use of endocrine therapy (ET) and yet drug uptake and adherence in this setting is suboptimal even among high risk women. A Polygenic Risk Score (PRS) comprised of 77 BC genetic susceptibility loci (Single Nucleotide Polymorphisms (SNP)) can provide a personalized risk assessment and potentially influence ET adherence. We assessed ET adherence at 1 year comparing women whose risk estimate increased due to PRS versus women whose risk estimate decreased due to PRS. The effect of ET use on quality of life (hot flashes, night sweats, vaginal dryness, weight gain, joint pain) was evaluated. Methods: Eligible women required either a 5 year Gail Model risk of ≥3% or 10 year IBIS ( International Breast Intervention Study or Tyrer-Cuzick model) of ≥5%. Women with a history of breast cancer (BC) or hereditary BC syndrome were excluded. High risk women were counseled at baseline using their Gail and IBIS risk scores and ET options were discussed including benefits and risks. Participants completed a self-reported questionnaire at baseline to assess their understanding of breast cancer risk and decision to take preventive ET. Blood samples were obtained and genotyped for 77 SNPs, and the odds ratio from the SNPs were used to modify the IBIS and Gail risk estimates. The BC -PRS risk estimate information was shared with study participants that reflected the IBIS and Gail risk estimates for 5 year, 10 year, & lifetime BC risk with and without the PRS. Follow up questionnaires at year 1 were administered to assess drug adherence and ET usage on quality of life. Results: 151 women were enrolled at Mayo Clinic Rochester and CancerCare Manitoba from 2016 to 2017. The median age was 56.1 (range 36-76.4), 35.6% were premenopausal, 98.7% were Caucasian and 64.7% had>1 family member with BC. Median 5yr, 10yr, & lifetime IBIS- PRS risk estimates were 3.8% (2.0-11.5), 7.9% (5.0-23.1), and 25.3% (5.5 to 92.2). At year 1 (n=112 women) 46 % of those with an increase in risk when considering the BC-PRS score and 16 % with a decrease in risk were taking ET ( p< 0.001). Types of ET taken: tamoxifen-18, raloxifene- 3, exemestane -14 and missing-1. Women taking ET reported weight gain ( 19.4% vs 6.7%, p=0.04) and more joint pain ( 27.8 % vs 12%, p=0.04) when compared to women not taking ET. Conclusion: In high risk women, BC-PRS risk estimates in addition to standard BC risk calculators had a significant impact on preventive ET adherence. ET use was associated with weight gain and joint pain. Citation Format: Sandhya Pruthi, Julian O Kim, Daniel Schaid, Andrew Cooke, Christina Kim, Benjamin Goldenberg, Jason Sinnwell, Debjani Grenier, Fergus Couch, Celine Vachon. Impact of the breast cancer polygenic risk score on preventive endocrine therapy adherence and endocrine therapy usage on quality of life - The Genetic Risk Estimate (GENRE) trial [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 PD3-03.
Abstract PD3-02: Polygenic risk scores provide clinically meaningful risk stratification among women carrying moderate penetrance pathogenic variants in breast cancer predisposition genes: Results from the CARRIERS study
Gao, Chi , Samara, Raed, Auer, Paul, Gaudet, Mia M. , Haiman, Christopher, Goldgar, David E. , Nathanson, Katherine L. , Nathanson, Katherine L , Polley, Eric C. , Hu, Chunling , Hart, Steven N. , Gnanaolivu, Rohan , Lee, Kun Y. , Na, Jie , Boddicker, Nicholas , Bernstein, Leslie , Trentham‐Dietz, Amy , Yao, Song , Olson, Janet E. , Neuhausen, Susan L. , Weitzel, Jeffrey N. , Domchek, Susan M. , Couch, Fergus J. , Kraft, Peter

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD3-02-PD3-02

10.1158/1538-7445.sabcs19-pd3-02 Get It

Abstract Background: Pathogenic variants detected in multi-gene cancer predisposition panels are increasingly used to counsel women regarding their risk for breast cancer. However, the clinical implications of moderate penetrance genes (e.g. CHEK2, ATM) remain unclear. Breast MRI is indicated for women with a lifetime risk of breast cancer of >20%, and polygenic risk scores (PRS) based on common variants discovered in recent genome-wide association studies (GWAS) may identify women with pathogenic variants in CHEK2 and ATM who are above or below this level of risk. PRS may also stratify carriers with substantially elevated lifetime risks of breast cancer. Previous work found that PRS modified breast cancer risk in carriers of pathogenic variant in BRCA1 or BRCA2, but the joint effects of pathogenic variants and PRS have not been studied in samples drawn from the general population. There is also no published study evaluating the effect of PRS among women with pathogenic variants in genes other than BRCA1/2 and CHEK2. Here, we evaluated the joint effects of PRS and pathogenic variants in ten established breast cancer predisposition genes in a population-based case-control sample. Method: We analyzed 43,144 non-Hispanic European-ancestry individuals (20,988 controls and 22,120 cases) drawn from 7 cohorts and 2 population-based case-control studies in the CAnceR RIsk Estimates Related to Susceptibility” (CARRIERS) consortium. Targeted sequencing was performed using a dual bar-coded QIAseq panel of breast cancer predisposition genes. Variant calling was conducted with Haplotype Caller and Vardict. The PRS was calculated based on 106 common variants using effect estimates from the largest published breast cancer GWAS. Genetic status was evaluated for 10 breast cancer predisposition genes: ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, NF1, PALB2 and TP53. Lasso Penalized regression was performed to assess the combined effect on overall breast cancer of pathogenic variants and common variants (including main and interaction effects between age, family history, carrier status and PRS). The fraction of women at >2-fold increased risk (which is associated with approximately 20% lifetime risk of breast cancer) was calculated for pathogenic variant carriers and non-carriers of different family history and age groups (<40, 40-50, 50-60, 60-70, >70yrs old). Results: Among non-carriers, one standard deviation change in the PRS was associated with a 1.63x change in odds of breast cancer. The best-fitting risk model did not include any PRS-by-carrier interaction terms, implying the relative risk gradient associated with PRS among women with pathogenic variants is similar to that among non-carriers. For carriers of pathogenic variants in moderate penetrance genes with no family history of breast cancer, the PRS can identify 60.6% of ATM pathogenic variant carriers and 30% of CHEK2 pathogenic variant carriers that have less than 2-fold risk of breast cancer; when carriers have a family history of breast cancer, the PRS can identify 30% of ATM pathogenic variant carriers and 11.8% of CHEK2 pathogenic variant carriers with less than 2-fold risk of breast cancer. Conclusion: In our large, population-based case-control study, the effect of the PRS among pathogenic variant carriers was not significantly different than among non-carriers. However, the PRS may be particularly important for estimating breast cancer risk among carriers of pathogenic variants in moderate penetrance genes such as CHEK2 and ATM, enabling a more precise approach for MRI screening strategy and breast cancer risk management. Citation Format: Chi Gao, Eric C. Polley, Chunling Hu, Steven N. Hart, Rohan Gnanaolivu, Kun Y. Lee, Jie Na, Nicholas J. Boddicker, Raed Samara, Paul Auer, Leslie Bernstein, Mia Gaudet, Amy Trentham-Dietz, Song Yao, Christopher Haiman, Janet E. Olson, Susan Neuhausen, Jeffrey N. Weitzel, David E. Goldgar, Susan Domchek, Katherine L. Nathanson, Fergus J. Couch, Peter Kraft, on behalf of the CARRIERS consortium. Polygenic risk scores provide clinically meaningful risk stratification among women carrying moderate penetrance pathogenic variants in breast cancer predisposition genes: Results from the CARRIERS study [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 PD3-02.
Abstract PD3-01: Population-based breast cancer risk estimates for predisposition gene mutations: Results from the CARRIERS study
Gao, Chi , Eckloff, Bruce W., Samara, Raed, Klebba, Josh, Auer, Paul L. , Gaudet, Mia M. , Haiman, Christopher A. , Vachon, Celine M. , Goldgar, David E. , Nathanson, Katherine L. , Nathanson, Katherine L , Couch, Fergus J. , Hu, Chunling , Hart, Steven N. , Gnanaolivu, Rohan , Lee, Kun Y. , Na, Jie , Boddicker, Nicholas , Ambrosone, Christine B. , Anton‐Culver, Hoda , Bernstein, Leslie , John, Esther M. , Neuhausen, Susan L. , Olson, Janet E. , Pal, Tuya , Palmer, Julie R. , Sandler, Dale P. , Taylor, Jack A. , Trentham‐Dietz, Amy , Vachon, Celine M. , Weinberg, Clarice R. , Yao, Song , Weitzel, Jeffrey N. , Domchek, Susan M. , Kraft, Peter , Polley, Eric C.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD3-01-PD3-01

10.1158/1538-7445.sabcs19-pd3-01 Get It

Abstract Germline mutations in several cancer predisposition genes included in hereditary multigene testing panels have been associated with increased breast cancer risk. However, estimates of breast cancer risks for each gene have in large part been derived from studies of high-risk populations enriched for family history of breast and ovarian cancer, young age of breast cancer diagnosis, or founder mutations. The breast cancer risks associated with mutations in many of these genes in the general population remain to be clearly defined. As clinical hereditary cancer genetic testing is already provided to many women at increased risk and may soon be offered to all breast cancer patients, population-based risk estimates associated with predisposition gene mutations will be needed for appropriate clinical management of mutation carriers. The “CAnceR RIsk Estimates Related to Susceptibility” (CARRIERS) consortium of 17 cohort-based case-control, population-based case-control, and family studies focused on estimation of population-based breast cancer risks and penetrance analysis for mutations in known and candidate breast cancer predisposition genes. Germline DNA from 39486 breast cancer cases and 35868 matched controls was subjected to dual bar-coded QIAseq multiplex amplification of 1733 target regions in 37 predisposition genes. Products from sets of 768 samples were pooled and sequenced in each lane of a HiSeq 4000 system. Mutations were called by GATK Haplotype Caller and Verdict. High quality sequence data was obtained for 99.3% of target regions. Here we report on results from 34741 population-based breast cancer cases and 32728 matched unaffected controls. The mean age of breast cancer diagnosis for cases was 61.2 years and mean age for controls was 61.1 years. Overall, 20.9% of cases and 14.3% of controls had a family history of breast cancer. Furthermore, 74.3% of cases and 75.8% of controls were non-Hispanic white, whereas 13.3% of cases and 15.3% of controls were African American. Among cases with tumor information available, 81.7% were ER-positive and 7.7% were triple negative breast cancers (TNBC). We assessed mutation frequencies in 24 genes including 12 established breast cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RAD51C, RAD51D, andTP53). The overall mutation frequency was 6.2% in cases and 2.7% in controls. Case-control association analysis after adjusting for study, age, family history of breast cancer, and race/ethnicity showed that BRCA1(OR=7.45; 95%CI:5.24-10.95) and BRCA2(OR=5.31; 95%CI:4.15-6.88) were associated with high risks of breast cancer in the general population. However, PALB2mutations were only associated with moderate risks (OR=3.63; 95%CI:2.57-5.26). ATMmutations conferred attenuated risks (OR=1.83; 95%CI:1.47-2.28) relative to studies of high-risk families or young onset breast cancers. NBNmutations were not associated with increased breast cancer risk. Mutations in BARD1, RAD51C, RAD51Dand XRCC2were specifically significantly associated with moderate risks of ER-negative breast cancer and TNBC, whereas mutations in ATM, CDH1and CHEK2were specifically significantly associated with ER-positive disease. On the basis of these findings age-related absolute breast cancer risks for commonly mutated genes were estimated. Overall, results from the CARRIERS study establish that mutations in predisposition genes are associated with lower risks of breast cancer in the general population than in enriched populations including high-risk families and young onset, bilateral, or multiple primary cases. We anticipate that the results from this study will inform cancer screening and other risk management strategies for women in the general population with mutations in predisposition genes. Citation Format: Fergus J Couch, Chunling Hu, Steven N Hart, Rohan Gnanaolivu, Kun Y Lee, Jie Na, Chi Gao, Nicholas J Boddicker, Bruce Eckloff, Raed Samara, Josh Klebba, Christine B Ambrosone, Hoda Anton-Culver, Paul Auer, Leslie Bernstein, Mia M Gaudet, Christopher Haiman, Esther M John, Susan Neuhausen, Janet E Olson, Tuya Pal, Julie R Palmer, Dale P Sandler, Jack A Taylor, Amy Trentham-Dietz, Celine M Vachon, Clarice Weinberg, Song Yao, Jeffrey N Weitzel, David E Goldgar, Susan M Domchek, Katherine L Nathanson, Peter Kraft, Eric C Polley. Population-based breast cancer risk estimates for predisposition gene mutations: Results from the CARRIERS study [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 PD3-01.
Abstract PD1-08: Frequency, characteristics and prognostic factors of PD-L1+ triple negative breast cancer using the PD-L1 SP142 companion assay
Polley, Mei‐Yin C. , Leon‐Ferre, Roberto A. , Liu, Minetta C. , Visscher, Daniel W., Carter, Jodi M. , Sinnwell, Jason P. , Couch, Fergus J. , Kalari, Krishna R. , Boughey, Judy C. , Goetz, Matthew P.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD1-08-PD1-08

10.1158/1538-7445.sabcs19-pd1-08 Get It

Abstract Background: TNBC is the most aggressive sub-type of breast cancer and has limited targeted therapies. Atezolizumab was recently FDA-approved for patients with advanced PD-L1+ TNBC. In a well-characterized cohort of patients with early-stage TNBC, we used the FDA-approved PD-L1 SP142 companion assay for atezolizumab to score whole tumor sections for PD-L1 expression. We determined the frequency and scoring distribution of PD-L1 in these tumors and evaluated PD-L1 status for associations with clinicopathologic variables and outcomes. Methods: Whole tumor sections from 498 women with surgically-treated, non-(distant) metastatic TNBC (ER/PR <1% & HER2-negative by central review) were semi-quantitatively scored for % of PD-L1-staining tumor cells (TC) or tumor-associated immune cells (IC) (PD-L1 SP142, Ventana, performed in CAP/CLIA-certified clinical laboratory). Per FDA assay guidelines, PD-L1+ tumors were defined as ≥1% of tumor-associated immune cells (IC) staining per tumor area. Baseline clinical characteristics, histopathologic features, Ki-67 proliferative indices (PI), and stromal tumor infiltrating lymphocytes (TILs) were correlated with PD-L1 status. The impact of tumoral PD-L1 status on invasive disease-free survival (IDFS) and overall survival (OS) was assessed using Cox proportional hazards models. Results: The majority of tumors were pT1-T2 (95%), pN0-1 (85%), and grade 3 (90%) with Ki-67 >15% (80%). 228/498 (46%) tumors were PD-L1+, distributed as IC score 1-5%: 21%, 6-10%: 13%, 11-20%: 5% and >20%: 7%. 270/498 (54%) were PD-L1-. 43 (8.6%) of tumors had PD-L1 staining in TC (all but 1 were also IC+). PD-L1 IC expression was associated with larger tumor size (p = 0.005), higher nodal stage (≥pN1: 43% vs. 31%, p < 0.001), higher grade (grade 3: 95% vs. 86%, p< 0.001), higher Ki-67 PI (>15%: 88% vs. 69%, p <0.001), and stromal TILs (median score: 40% vs. 10%; p < 0.001). PD-L1 IC status was not associated with patient age. Among histologic subtypes, PD-L1+ tumors were more frequently medullary type (31% vs. 6%) and less frequently metaplastic type (4% vs 10%). At time of this analysis, median follow-up for IDFS and OS were 11 years and 7.2 years, respectively. By univariable analysis, absence of PD-L1 IC expression was associated with poorer IDFS (median: 15.5 vs. 20 years, p = 0.04) and OS (9.5 vs. 17.5 years, p < 0.05).By multivariable analysis, tumor size, stromal TILs, nodal status, and adjuvant chemotherapy (CTX) were significantly associated with IDFS. Age, stromal TILs, nodal status, and receipt of adjuvant CTX were associated with OS. PD-L1+ tumors trended toward improved IDFS (statistical significance not reached), HR: 0.68 (95% CI: 0.45-1.03, p= 0.068) but not OS: 0.90 (95% CI: 0.52-1.57, p= 0.32). Conclusion: Using the PD-L1 SP142 companion assay, almost half of early-stage TNBC were PD-L1+ (IC). However, PD-L1 expression correlated with increasing tumor size and nodal burden, as well as histologic grade, Ki-67 PI, stromal TILs and lymphocyte-enriched subtypes. PD-L1 was associated with improved IDFS and OS in univariable analysis but not multivariable analysis. The majority of the PD-L1+ tumors (73%) had IC scores ≤10%, with heterogeneous tumoral staining. Given the low (1%) assay threshold for positivity, these data emphasize the utility of evaluating PD-L1 in whole tumor sections rather than tissue cores. Citation Format: Jodi M Carter, Mei-Yin C Polley, Jason P Sinnwell, Roberto A Leon-Ferre, Fergus J Couch, Krishna R Kalari, Judy C Boughey, Minetta C Liu, Daniel W Visscher, Matthew P Goetz. Frequency, characteristics and prognostic factors of PD-L1+ triple negative breast cancer using the PD-L1 SP142 companion assay [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 PD1-08.
Abstract P6-10-03: Germline (g)BRCA1/2 mutations (m) and hematological toxicities in patients (pts) with triple negative breast cancer (TNBC) treated with neoadjuvant chemotherapy (NACT)
Furlanetto, Jenny , Möbus, Volker , Schneeweiß, Andreas , Rhiem, Kerstin, Tesch, Hans , Lübbe, Kristina , Salat, Christoph, Huober, Jens , Klare, Peter , Schmutzler, Rita K., Gerber, Bernd, Zahm, Dirk-Michael, Bauerfeind, Ingo , Nekljudova, Valentina , Hanusch, Claus , Jackisch, Christian , Loibl, Sibylle , Fasching, Peter A. , Blohmer, Jens‐Uwe , Untch, Michael , Couch, Fergus J. , Lederer, Bianca , Link, Theresa

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P6-10-03-P6-10-03

10.1158/1538-7445.sabcs19-p6-10-03 Get It

Abstract Background: BRCA1/2 genes play a central role in DNA repair. Therefore, pts harboring gBRCA1/2m treated with chemotherapy might be at higher risk of acute hematological toxicities due to the lower level of functional BRCA1/2 protein potentially resulting in more toxicity. Published results are discordant, further data are needed. Methods: Pts with early TNBC and known gBRCA1/2m treated with anthracycline-taxane based NACT in the GeparQuinto (n=487), GeparSixto (n=291) and GeparOcto (n=393) studies were included. Primary G-CSF prophylaxis was foreseen only for the iddETC arm in GeparOcto. Primary objective was the rate of neutropenia grade (G)3-4 after cycle 1; secondary objectives were the rate of other hematological toxicities G3-4 and the overall toxicity rate after cycle 1 as well as hematological toxicities in gBRCA1/2 pts during the taxane part of chemotherapy. Results: 209/1171 evaluated pts (17.8%) had a gBRCA1/2m (177 gBRCA1m, 33 gBRCA2m). Median age was 48yrs [21-78]. The rate of neutropenia G3-4 after cycle 1 in gBRCA1/2 wildtype (wt) pts was 35.7% vs 37.4% in gBRCA1/2m (p=0.683), 35.9% in gBRCA1m (p=1.000), 44.8% in gBRCA2m (p=0.330). gBRCA1/2 mutational status did not predict neutropenia G3-4 at univariate (OR=1.08, 95%CI 0.78-1.48 p=0.658) or multivariate analysis adjusted for age, BMI and treatment (OR=1.26, 95%CI 0.87-1.82 p=0.226). The overall rate and the rates of other hematological toxicities are shown in the table. gBRCA1/2 mutational status did also not predict for any other hematological toxicities G3-4 (univariate OR=0.94, 95%CI 0.64-1.40 p=0.773; multivariate OR=0.94, 95%CI 0.62-1.43 p=0.779). gBRCA1/2 mutational status predicted for hematological toxicities G3-4 under taxane treatment (univariate OR=1.94, 95%CI 1.35-2.77 p<0.001; multivariate OR=2.91, 95%CI 1.55-5.45 p=0.001). During taxane treatment, the overall rate of hematological toxicities G3-4 in wt pts was 43.1% (n=270) vs 59.5% (n=91) in gBRCA1/2m, p<0.001; anemia G3-4 2.6% (n=16) vs 3.3% (n=5), p=0.584; leucopenia G3-4 32.7% (n=203) vs 47.1% (n=72), p=0.001; neutropenia G3-4 35.8% (n=219) vs 49.3% (n=73), p=0.003; thrombopenia G3-4 1.4% (n=9) vs 4.6% (n=7), p=0.024; febrile neutropenia 5.9% (n=37) vs 4.6% (n=7), p=0.696. Conclusions: Overall, gBRCA1/2 mutation is not associated with a significantly higher risk of severe hematological toxicities. Under taxane therapy, pts with gBRCA1/2 demonstrate a higher rate of hematological toxicities G3-4, especially neutropenia, compared to wildtype pts, and should therefore be carefully monitored. Hematological toxicities after cycle 1wildtypegBRCA1/2mp-valuegBRCA1mp-valuegBRCA2mp-valueN%N%N%N%neutropenia G3-432635.77437.40.6836135.91.0001344.80.330febrile neutropenia171.831.41.00010.60.33726.10.130leucopenia G3-424425.83818.20.0212815.80.0041030.30.548anemia G3-420.200.01.00000.01.00000.01.000thrombopenia G3-4111.210.50.70510.60.70400.01.000any hematological toxicities G1-477782.617081.70.76314180.10.4533090.90.344any hematological toxicities G3-442846.38843.60.5337241.90.3171651.60.587 Citation Format: Jenny Furlanetto, Volker Möbus, Andreas Schneeweiss, Kerstin Rhiem, Hans Tesch, Jens-Uwe Blohmer, Kristina Lübbe, Michael Untch, Christoph Salat, Jens Huober, Peter Klare, Rita Schmutzler, Fergus J Couch, Bianca Lederer, Bernd Gerber, Dirk-Michael Zahm, Ingo Bauerfeind, Valentina Nekljudova, Claus Hanusch, Christian Jackisch, Theresa Link, Sibylle Loibl, Peter A Fasching. Germline (g)BRCA1/2 mutations (m) and hematological toxicities in patients (pts) with triple negative breast cancer (TNBC) treated with neoadjuvant chemotherapy (NACT) [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 P6-10-03.
Abstract P6-08-04: Germline mutations in cancer predisposition genes in patients with invasive lobular carcinoma of the breast
LaDuca, Holly , Smith, Brandon , Goldgar, David E. , Pesaran, Tina , Dolinsky, Jill S. , Yadav, Siddhartha , Polley, Eric C. , Hu, Chunling , Hart, Steven N. , Na, Jie , Gnanaolivu, Rohan , Couch, Fergus J.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P6-08-04-P6-08-04

10.1158/1538-7445.sabcs19-p6-08-04 Get It

Abstract Background: Invasive lobular carcinoma (ILC) of the breast accounts for approximately 10-15% of all histologic subtypes of breast cancer. However, apart from germline mutations in CDH1, the contributions of mutations in other cancer predisposition genes to ILC are largely unknown. Methods: The study population included 3,893 women with ILC of the breast who underwent germline multigene panel testing of cancer predisposition genes at Ambry Genetics from March 2012 to December 2016. The prevalence of predisposition gene mutations in women with ILC was assessed relative to 38,004 women with invasive ductal carcinoma (IDC) who underwent germline multigene panel testing at Ambry Genetics during the same timeframe. Associations between mutations in each gene and risk of ILC were evaluated using reference controls. Results: Of the 3,893 women with ILC included in this study, 70.7% were non-Hispanic white, 65.1% had a family history of breast cancer, and 96.4% had estrogen receptor (ER) positive breast cancer. The overall frequency of germline mutations in cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CDKN2A, CHEK2, MLH1, MRE11A, MSH2, MSH6, NBN, NF1, PALB2, PTEN, RAD51C, RAD51D and TP53) was 7.8% for women with ILC and 10.7% for women with IDC. Mutations in CDH1 were significantly more frequent (Odds Ratio (OR)=12.1, p<0.001), whereas mutations in BRCA1 (OR=0.1; p<0.001) and PALB2 (OR=0.4; p<0.001)were less frequent in women with ILC, compared to women with IDC. When restricting the analysis to ER positive cases only, significant differences in frequencies of ATM (OR=0.6, p=0.03), BRCA1 (OR=0.3, p<0.001), CDH1 (OR=7.7, p<0.001) and PALB2 (OR=0.3, p<0.001) were observed in ILC compared to IDC. By comparison with gnomAD reference controls, ATM, BRCA2, CDH1, CHEK2, PALB2 and PTEN mutations were significantly associated with an increased risk of lLC and IDC (OR>2), NBN mutations were associated with ILC (OR=3.4; p<0.001) but not IDC, and BRCA1 mutations were not associated with increased risk of ILC. Among 274 women with ILC over the age of 50 without history of any other cancer or a family history of breast or ovarian cancer, 14 (5.1%) were found to carry a mutation in one of the genes evaluated. Conclusions: In a large cohort of patients with ILC, the frequencies of germline mutations in cancer predisposition genes were similar between ILC and IDC except for ATM, BRCA1, CDH1 and PALB2. Six genes, in addition to CDH1, were found to be germline predisposition genes for ILC. A substantial proportion of patients older than 50 with ILC without a family history of breast or ovarian cancer or a personal history of other cancers were found to be mutation carriers. These findings improve our understanding of germline genetic drivers of ILC and suggest that multigene genetic testing should be considered for all ILC patients. Citation Format: Siddhartha Yadav, Holly LaDuca, Eric C. Polley, Chunling Hu, Steven N. Hart, Jie Na, Rohan Gnanaolivu, Brandon Smith, David E Goldgar, Tina Pesaran, Jill S. Dolinsky, Fergus J. Couch. Germline mutations in cancer predisposition genes in patients with invasive lobular carcinoma of the breast [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 P6-08-04.
Abstract P6-08-01: Comparison of recommendations for germline genetic testing in an unselected cohort of patients with breast cancer
Yadav, Siddhartha , Ruddy, Kathryn J. , Yadav, Siddhartha , Hu, Chunling , Hart, Steven N. , Boddicker, Nicholas , Polley, Eric C. , Na, Jie , Gnanaolivu, Rohan , Lee, Kun Y. , Olson, Janet E. , Couch, Fergus J.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P6-08-01-P6-08-01

10.1158/1538-7445.sabcs19-p6-08-01 Get It

Abstract Purpose: To determine the sensitivity of germline hereditary cancer genetic testing recommendations for detection of pathogenic mutations in breast cancer predisposition genes in an unselected cohort of breast cancer patients. Patients and Methods: The study population included patients enrolled in a prospective breast cancer registry after being seen at Mayo Clinic for newly diagnosed breast cancer between 2004 and 2016. All patients were subjected to germline mutation testing for 12 known breast cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RAD51C, RAD51D and TP53). Results from testing of all breast cancer patients according to American Society of Breast Surgeons (ASBrS) genetic testing recommendations and patients meeting National Comprehensive Cancer Network (NCCN) criteria for BRCA1/2 testing, based on age at diagnosis and personal and family history of cancer, were compared. Results: Among the 4516 patients in the cohort, the median age at diagnosis of breast cancer was 57 years, 80.5% had estrogen receptor positive tumors, and 43% had a family history of breast cancer. All patients in the cohort met ASBrS criteria for hereditary cancergenetic testing, 2050 (45.4%) met NCCN criteria, 1892 (41.9%) did not meet NCCN criteria, and 574 (12.7%) patients could not be fully evaluated for NCCN testing criteria due to missing data. The frequencies of pathogenic variants in the cohort are shown in Table 1. Patients meeting NCCN criteria were more likely to carry a pathogenic variant compared to those who did not (9.8% vs. 3.8%, p<0.001, Table 1). However, 72 (26.5%) out of the 272 patients with mutations in 12 breast cancer predisposition genes and 15 (12.4%) out of 121 with mutations in BRCA1/2 were overlooked when NCCN selection criteria alone were applied. When testing was expanded to include all patients with breast cancer diagnosed at age ≤65 and/or meeting NCCN testing criteria, only 20 (7.4%) out of 272 mutation carriers in 12 breast cancer genes and 2 (1.6%) out of 121 BRCA1/2 mutation carriers were overlooked. However, this increased the number tested to detect one mutation carrier on average from 17 to 25 for BRCA1/2 and from 9 to 12 for the 12 breast cancer predisposition genes. In total, this age cutoff led to an increase in the number of patients tested by 28% while the number of patients in the cohort that need not undergo germline genetic testing was 20%. Conclusions: Although NCCN criteria for BRCA1/2 germline genetic testing detect the majority of predisposition gene mutation carriers, a significant number of carriers are missed in an unselected cohort of breast cancer patients using these criteria. Expanding the current NCCN criteria to include all women with breast cancer diagnosed ≤ 65 years of age, will substantially improve the sensitivity of mutation testing, without the need for evaluation of all breast cancer patients. Table 1: Comparison of frequency of germline mutations between patients who met and did not meet NCCN guidelines for germline genetic testing#Total, Meets ASBrS guidelines N=3942Meets NCCN guidelines, N=2050Did not meet NCCN guidelines, N=1892P-value€ NCCN vs non-NCCNPercent mutation carriers missed by NCCN criteria* BRCA1/2121 (3.1%)106 (5.2%)15 (0.8%)<0.00112.4%6 High risk genes$150 (3.8%)120 (5.8%)30 (1.6%)<0.00120.0%12 Breast cancer genes:272 (6.9%)200 (9.8%)72 (3.8%)<0.00126.5%ATM45 (1.1%)32 (1.56%)13 (0.69%)28.9%BARD16 (0.2%)5 (0.24%)1 (0.05%)16.7%BRCA158 (1.5%)53 (2.59%)5 (0.26%)8.6%BRCA263 (1.6%)53 (2.59%)10 (0.53%)15.9%CDH16 (0.2%)3 (0.15%)3 (0.16%)50.0%CHEK267 (1.7%)41 (2.00%)26 (1.36%)38.8%NF10 (0.0%)0 (0.00%)0 (0.00%)0.0%PALB216 (0.4%)7 (0.34%)9 (0.48%)56.3%PTEN1 (0.0%)1 (0.05%)0 (0.00%)0.0%RAD51C6 (0.2%)6 (0.29%)0 (0.00%)0.0%RAD51D4 (0.1%)2 (0.10%)2 (0.11%)50.0%TP537 (0.2%)3 (0.15%)4 (0.21%)57.1%#: Patients who did not meet NCCN criteria excluded from analysis$: BRCA1, BRCA2, CDH1, PALB2, PTEN and TP53;€: Fisher exact test comparing frequency of germline mutations between those who met NCCN guidelines and those who did not;*: Denominators for percentages are the total mutation carriers in respective categories. Citation Format: Siddhartha Yadav, Chunling Hu, Steven N. Hart, Nicholas Boddicker, Eric C. Polley, Jie Na, Rohan Gnanaolivu, Kun Y. Lee, Janet E. Olson, Kathryn J. Ruddy, Fergus J. Couch. Comparison of recommendations for germline genetic testing in an unselected cohort of patients with breast cancer [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 P6-08-01.
Abstract P5-08-07: Tobacco use, alcohol consumption, and breast cancer somatic genomic alterations
Heng, Yujing J. , Hankinson, Susan E. , Wang, Jun , Andrade, Victor Piana de , Brufsky, Adam , King, Tari A. , Vachon, Celine M. , Brufsky, Adam M , Hankinson, Susan E. , Alexandrov, Ludmil B. , Ambrosone, Christine B. , Couch, Fergus J. , Modugno, Francesmary , Vachon, Celine M. , Eliassen, A. Heather , Tamimi, Rulla M. , Kraft, Peter

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P5-08-07-P5-08-07

10.1158/1538-7445.sabcs19-p5-08-07 Get It

Abstract Background: Understanding the molecular influence of epidemiological risk factors can provide insights into breast cancer etiology and progression, and lead to better prevention efforts and treatment guidelines. The link between modifiable breast cancer risk factors and tumor genomic alterations remains unexplored. This study evaluated the association of tobacco use and alcohol consumption with somatic copy number variation (SCNV), total somatic mutation burden (TSMB), seven single base substitution (SBS) signatures (SBS1, SBS2, SBS3, SBS5, SBS13, SBS29, and SBS30) (1-3), and nine breast cancer driver mutations (CDH1, GATA3, KMT2C, MAP2K4, MAP3K1, NCOR1, PIK3CA, RUNX1, and TP53) (4,5), in a subset of The Cancer Genome Atlas (TCGA). Method: Clinical and genomic data were retrieved from the TCGA database, and breast cancer risk factor information was collected from four TCGA sites; in all, 219 female breast cancer cases were included. Pre-diagnostic tobacco use was defined as never or ever; alcohol consumption was defined as drinkers or non-drinkers. Total SCNV was obtained by summing all segments with ≥|0.2|. TSMB was calculated by summing all significant mutations for each case. SBS signatures were computed using whole exome sequencing data. Analyses were conducted in all tumors (i.e., pooled) and by stratifying according to estrogen receptor (ER) status using multivariate regression, adjusting for co-variables. Results: Tobacco users had higher TSMB compared to non-users (p<0.05 all tumors). Alcohol drinkers had higher SCNV compared to non-drinkers (p<0.05 all tumors and among ER+ tumors). Tobacco use was not associated with any SBS signature. SBS3 signature (defective homologous recombination-based repair) was exclusively found in alcohol drinkers with ER- disease. No breast cancer driver mutation was associated with tobacco use or alcohol consumption. Conclusion: This study provides preliminary evidence that tobacco use and alcohol consumption can influence breast tumor biology, in particular, DNA alterations. Future larger epidemiological studies are required to confirm these findings. References 1. Vineis P, et al. Mutational signatures associated with tobacco smoking in human cancer. Science. 2016;354(6312):618-22. 2. Alexandrov LB, et al. Clock-like mutational processes in human somatic cells. Nat Genet. 2015;47(12):1402-7. 3. Petljak M, Alexandrov LB. Understanding mutagenesis through delineation of mutational signatures in human cancer. Carcinogenesis. 2016;37(6):531-40. 4. Heng YJ, et al. The molecular basis of breast cancer pathologic phenotypes. J Pathol. 2017 Nov;241(3):375-91. 5. Ciriello G, et al. Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer. Cell. 2015 Oct 10;163(2):506-19. Citation Format: Yujing J Heng, Susan E Hankinson, Jun Wang, Ludmil B Alexandrov, Christine B Ambrosone, Victor Piana de Andrade, Adam M Brufsky, Fergus J Couch, Tari A King, Francesmary Modugno, Celine M Vachon, A. Heather Eliassen, Rulla M Tamimi, Peter Kraft. Tobacco use, alcohol consumption, and breast cancer somatic genomic alterations [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 P5-08-07.