Polygenic and classical risk integration reshapes breast cancer screening recommendations in 9,761 Asian women

BACKGROUND: Age-based mammography screening fails to account for individual breast cancer risk variation, particularly in Asian populations where prospective evidence is absent. METHODS: The BREAst Screening Tailored for HEr (BREATHE) study is a multicentre prospective cohort of 4,513 women aged 35-59 years recruited across six Singapore clinical sites (2021-2023). Risk-stratified screening recommendations were assigned using a five-year absolute risk threshold of 0.9% (equivalent to the population-average risk of an average 50-year-old Singaporean woman) to initiate screening based on polygenic risk score (PRS) and Gail model, as well as mammographic density, family history, abnormal prior screening. Two independent breast cancer case cohorts provided comparative analyses: Singapore Breast Cancer Cohort (SGBCC, n = 2,782) and Malaysian Breast Cancer Genetic Study (MyBrCa, n = 2,466); combined n = 9,761. RESULTS: Among 2,003 healthy women aged 40-49 years currently recommended annual mammography, risk stratification downgraded 776 (38.7%) to no screening and 960 (47.9%) to biennial as they were not in the top 2.5th percentile of PRS and Gail risk and did not have any additional risk indicators. Of 41 breast cancers diagnosed after BREATHE enrolment, 35 (85.4%) occurred in women assigned to screening-eligible categories at baseline. Risk stratification combining PRS and Gail model captured 68-69% of cases aged 40-49 in SGBCC (n = 1,184) and MyBrCa (n = 1,122), versus ~ 54% by PRS alone. Relative to cases meeting screening criteria for both PRS and Gail model, PRS-missed cases were enriched for progesterone receptor negativity (OR 1.24; 95% CI 1.01-1.52), tumour size ≥ 50 mm (OR 1.43; 95% CI 1.02-2.00), and germline protein-truncating variants (PTVs) in breast cancer predisposition genes (OR 1.53; 95% CI 1.03-2.29). CONCLUSIONS: Risk stratification combining PRS with classical risk factors reshapes mammography recommendations in Asian women. However, due to the limited number of events in BREATHE, this finding requires evaluation in larger prospective studies. PRS-missed cancers exhibit a biologically aggressive profile, defining the current limits of common-variant prediction and identifying the biology that future precision screening tools must address.

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Journal
BMC Medicine
Published
2026-10-30
DOI
https://doi.org/10.1186/s12916-026-05334-5
Primary Topic
Digital Radiography and Breast Imaging
Type
article
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article

Polygenic and classical risk integration reshapes breast cancer screening recommendations in 9,761 Asian women

Mikael Hartman, Jingmei Li, Mei-Chee Tai, Han Boon Oh et al.
3 links
BMC Medicine
Digital Radiography and Breast Imaging
article

Polygenic and classical risk integration reshapes breast cancer screening recommendations in 9,761 Asian women

Mikael Hartman, Jingmei Li, Mei-Chee Tai, Han Boon Oh, Soo‐Hwang Teo, Nicole Sze Ting Lim, Benita Kiat Tee Tan, Philip Choong Tsau Iau, Ern Yu Tan, Weang-Kee Ho, Chi Hui Chin, Jon David Emery, Sujith Indeewara Wijerathne, Veronique Kiak Mien Tan, Peh Joo Ho, Geok Hoon Lim, Judith Ong, Swee Tian Quek, Sing Cheer Kwek, Desmond Luan Seng Ong, MyBrCa Investigators, Zhi Zhang Peng
article en

Abstract

BACKGROUND: Age-based mammography screening fails to account for individual breast cancer risk variation, particularly in Asian populations where prospective evidence is absent. METHODS: The BREAst Screening Tailored for HEr (BREATHE) study is a multicentre prospective cohort of 4,513 women aged 35-59 years recruited across six Singapore clinical sites (2021-2023). Risk-stratified screening recommendations were assigned using a five-year absolute risk threshold of 0.9% (equivalent to the population-average risk of an average 50-year-old Singaporean woman) to initiate screening based on polygenic risk score (PRS) and Gail model, as well as mammographic density, family history, abnormal prior screening. Two independent breast cancer case cohorts provided comparative analyses: Singapore Breast Cancer Cohort (SGBCC, n = 2,782) and Malaysian Breast Cancer Genetic Study (MyBrCa, n = 2,466); combined n = 9,761. RESULTS: Among 2,003 healthy women aged 40-49 years currently recommended annual mammography, risk stratification downgraded 776 (38.7%) to no screening and 960 (47.9%) to biennial as they were not in the top 2.5th percentile of PRS and Gail risk and did not have any additional risk indicators. Of 41 breast cancers diagnosed after BREATHE enrolment, 35 (85.4%) occurred in women assigned to screening-eligible categories at baseline. Risk stratification combining PRS and Gail model captured 68-69% of cases aged 40-49 in SGBCC (n = 1,184) and MyBrCa (n = 1,122), versus ~ 54% by PRS alone. Relative to cases meeting screening criteria for both PRS and Gail model, PRS-missed cases were enriched for progesterone receptor negativity (OR 1.24; 95% CI 1.01-1.52), tumour size ≥ 50 mm (OR 1.43; 95% CI 1.02-2.00), and germline protein-truncating variants (PTVs) in breast cancer predisposition genes (OR 1.53; 95% CI 1.03-2.29). CONCLUSIONS: Risk stratification combining PRS with classical risk factors reshapes mammography recommendations in Asian women. However, due to the limited number of events in BREATHE, this finding requires evaluation in larger prospective studies. PRS-missed cancers exhibit a biologically aggressive profile, defining the current limits of common-variant prediction and identifying the biology that future precision screening tools must address.

BMC MedicineVol. 24(1)
Agency for Science, Technology and Research (SG), SingHealth (SG), The University of Melbourne (AU), National University of Singapore (SG), Nanyang Technological University (SG), Singapore General Hospital (SG), Alexandra Hospital (SG), Tan Tock Seng Hospital (SG), Ng Teng Fong General Hospital (SG), University of Malaya (MY), Cancer Research Malaysia (MY), KK Women's and Children's Hospital (SG), National Cancer Centre Singapore (SG), National University Hospital (SG), Subang Jaya Medical Centre (MY), National University Health System (SG), Sengkang General Hospital (SG), National University Polyclinics (SG), Genome Institute of Singapore (SG), Institute of Molecular and Cell Biology (SG), Sunway University (MY)
Agency for Science, Technology and Research, Universiti Malaya, Precision Health Research, Singapore
Good health and well-being
Openalex Percentile: Top 12%
Digital Radiography and Breast Imaging
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