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Overlap of high-risk individuals across family history, genetic & non-genetic breast cancer risk models: Analysis of 180,398 women from European & Asian ancestries

Ho, P. J.
Loo, C. K. Y.
Goh, M. H.
Abubakar, M.
Ahearn, T. U.
Andrulis, I. L.
Antonenkova, N. N.
Aronson, K. J.
Augustinsson, A.
Behrens, S.
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Abstract
BACKGROUND: Breast cancer is multifactorial. Focusing on limited risk factors may miss high-risk individuals. METHODS: We assessed the performance and overlap of various risk factors in identifying high-risk individuals for invasive breast cancer (BrCa) and ductal carcinoma in situ (DCIS) in 161,849 European-ancestry and 18,549 Asian-ancestry women. Discriminatory ability was evaluated using the area under the receiver operating characteristic curve (AUC). High-risk criteria included: 5-year absolute risk ≥1·66% by the Gail model [GAIL(binary)]; first-degree family history of breast cancer [FH(binary)]; 5-year absolute risk ≥1·66% by a 313-variants polygenic risk score [PRS(binary)]; and carriers of pathogenic variants in breast cancer predisposition genes [PTV(binary)]. FINDINGS: The 5-year absolute risk by PRS outperformed the Gail model in predicting BrCa (Europeans(vs controls): AUC(PRS)=0·635 [0·632-0·638] vs AUC(Gail)=0·492 [0·489-0·495]; Asians(vs controls): AUC(PRS)=0·564 [0·556-0·573] vs AUC(Gail)=0·506 [0·497-0·514]). PRS(binary) and GAIL(binary) identified more high-risk European than Asia individuals. High-risk proportions were higher among BrCa (16-26%) and DCIS (20-33%) compared to controls (9-15%) among young Europeans and all Asians. Fewer than 7% of BrCa, 10% of DCIS, and 3% of controls were classified as high-risk by multiple risk classifiers. Overlap between PRS(binary) and PTV(binary) was minimal (<0·65% Europeans, <0·15% Asians) compared to the proportion at high risk using PTV(binary) alone (Europeans: 4·6%, Asians: 4·4%) and PRS(binary) alone (Europeans: 13·9%, Asians: 8·5%). PRS(binary) and FH(binary) uniquely identified 5-6% and 9-11% of young BrCa, respectively. INTERPRETATION: The incomplete overlap between high-risk individuals identified by PRS(binary), GAIL(binary), FH(binary,) and PTV(binary) highlights the need for a comprehensive approach to breast cancer risk prediction.
Authors
Ho, P. J.
Loo, C. K. Y.
Goh, M. H.
Abubakar, M.
Ahearn, T. U.
Andrulis, I. L.
Antonenkova, N. N.
Aronson, K. J.
Augustinsson, A.
Behrens, S.
Bodelon, C.
Bogdanova, N. V.
Bolla, M. K.
Brantley, K.
Brenner, H.
Byers, H.
Camp, N. J.
Castelao, J. E.
Cessna, M. H.
Chang-Claude, J.
Chanock, S. J.
Chenevix-Trench, G.
Choi, J. Y.
Colonna, S. V.
Czene, K.
Daly, M. B.
Derouane, F.
Dörk, T.
Eliassen, A. H.
Engel, C.
Eriksson, M.
Evans, D. G.
Fletcher, O.
Fritschi, L.
Gago-Dominguez, M.
Genkinger, J. M.
Geurts-Giele, W. R. R.
Glendon, G.
Hall, P.
Hamann, U.
Ho, C. Y. S.
Ho, W. K.
Hooning, M. J.
Hoppe, R.
Howell, A.
Humphreys, K.
Ito, H.
Iwasaki, M.
Jakubowska, A.
Jernström, H.
John, E. M.
Johnson, N.
Kang, D.
Kim, S. W.
Kitahara, C. M.
Ko, Y. D.
Kraft, P.
Kwong, A.
Lambrechts, D.
Larsson, S.
Li, S.
Lindblom, A.
Linet, M.
Lissowska, J.
Lophatananon, A.
MacInnis, R. J.
Mannermaa, A.
Manoukian, S.
Margolin, S.
Matsuo, K.
Michailidou, K.
Milne, R. L.
Taib, N. A. M.
Muir, K.
Murphy, R. A.
Newman, W. G.
O'Brien, K. M.
Obi, N.
Olopade, O. I.
Panayiotidis, M. I.
Park, S. K.
Park-Simon, T. W.
Patel, A. V.
Peterlongo, P.
Plaseska-Karanfilska, D.
Pylkäs, K.
Rashid, M. U.
Rennert, G.
Rodriguez, J.
Saloustros, E.
Sandler, D. P.
Sawyer, E. J.
Scott, C. G.
Shahi, S.
Shu, X. O.
Shulman, K.
Simard, J.
Southey, M. C.
Stone, J.
Taylor, J. A.
Teo, S. H.
Teras, L. R.
Terry, M. B.
Torres, D.
Vachon, C. M.
Van Houdt, M.
Verhoeven, J.
Weinberg, C. R.
Wolk, A.
Yamaji, T.
Yip, C. H.
Zheng, W.
Hartman, M.
Li, J.
Affiliation
Human Genetics Division, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore City, 138672. Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore City, 117549. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, USA, Bethesda, MD, 20850. Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Canada, Toronto, Ontario, M5G 1×5. Department of Molecular Genetics, University of Toronto, Canada, Toronto, Ontario, M5S 1A8. N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Belarus, Minsk, 223040. Department of Public Health Sciences, and Sinclair Cancer Research Institute, Queen's University, Canada, Kingston, ON, K7L 3N6. Oncology, Department of Clinical Sciences in Lund, Lund University, Sweden, Lund, 221 85. Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Germany, Heidelberg, 69120. Department of Population Science, American Cancer Society, USA, Atlanta, GA, 30303. Department of Radiation Oncology, Hannover Medical School, Germany, Hannover, 30625. Gynaecology Research Unit, Hannover Medical School, Germany, Hannover, 30625. Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, UK, Cambridge, CB1 8RN. Department of Epidemiology, Harvard T.H. Chan School of Public Health, USA, Boston, MA, 02115. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Germany, Heidelberg, 69120. German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Germany, Heidelberg, 69120. Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, UK, Manchester, M13 9WL. Department of Internal Medicine and Huntsman Cancer Institute, University of Utah, USA, Salt Lake City, UT, 84112. Oncology and Genetics Unit, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS) Foundation, Complejo Hospitalario Universitario de Santiago, SERGAS, Spain, Vigo, 36312. Intermountain Healthcare, USA, Salt Lake City, UT, 84143. Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Germany, Hamburg, 20246. Cancer Research Program, QIMR Berghofer Medical Research Institute Vol. Locked Bag 2000, Herston, QLD 4029, Australia, Brisbane, Queensland, 4006. Department of Biomedical Sciences, Seoul National University Graduate School, Korea, Seoul, 03080. Cancer Research Institute, Seoul National University, Korea, Seoul, 03080. Institute of Health Policy and Management, Seoul National University Medical Research Center, Korea, Seoul, 03080. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden, Stockholm, 171 65. Department of Clinical Genetics, Fox Chase Cancer Center, USA, Philadelphia, PA, 19111. Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Belgium, Leuven, 3000. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, USA, Boston, MA, 02115. Department of Nutrition, Harvard T.H. Chan School of Public Health, USA, Boston, MA, 02115. Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany, Leipzig, 04107. LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Germany, Leipzig, 04103. 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Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Japan, Nagoya, 466-8550. Division of Epidemiology, National Cancer Center Institute for Cancer Control, Japan, Tokyo, 104-0045. Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Poland, Szczecin, 171-252. International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Poland, Szczecin, 70-115. Department of Epidemiology and Population Health, Stanford University School of Medicine, USA, Stanford, CA, 94305. Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, USA, Stanford, CA, 94304. Department of Preventive Medicine, Seoul National University College of Medicine, Korea, Seoul, 03080. Department of Surgery, Daerim Saint Mary's Hospital, Korea, Seoul, 07442. 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Description
Date
2025
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Preprint
Citation
Ho PJ, Loo CKY, Goh MH, Abubakar M, Ahearn TU, Andrulis IL, et al. Overlap of high-risk individuals across family history, genetic & non-genetic breast cancer risk models: Analysis of 180,398 women from European & Asian ancestries. medRxiv : the preprint server for health sciences. 2025 Mar 3. PubMed PMID: 40093266. Pubmed Central PMCID: PMC11908272. Epub 2025/03/17. eng.
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