Breast Cancer Research (Sep 2024)

Reproductive factors and mammographic density within the International Consortium of Mammographic Density: A cross-sectional study

  • Jessica O’Driscoll,
  • Anya Burton,
  • Gertraud Maskarinec,
  • Beatriz Perez-Gomez,
  • Celine Vachon,
  • Hui Miao,
  • Martín Lajous,
  • Ruy López-Ridaura,
  • A. Heather Eliassen,
  • Ana Pereira,
  • Maria Luisa Garmendia,
  • Rulla M. Tamimi,
  • Kimberly Bertrand,
  • Ava Kwong,
  • Giske Ursin,
  • Eunjung Lee,
  • Samera A. Qureshi,
  • Huiyan Ma,
  • Sarah Vinnicombe,
  • Sue Moss,
  • Steve Allen,
  • Rose Ndumia,
  • Sudhir Vinayak,
  • Soo-Hwang Teo,
  • Shivaani Mariapun,
  • Farhana Fadzli,
  • Beata Peplonska,
  • Chisato Nagata,
  • Jennifer Stone,
  • John L. Hopper,
  • Graham Giles,
  • Vahit Ozmen,
  • Mustafa Erkin Aribal,
  • Joachim Schüz,
  • Carla H. Van Gils,
  • Johanna O. P. Wanders,
  • Reza Sirous,
  • Mehri Sirous,
  • John Hipwell,
  • Jisun Kim,
  • Jong Won Lee,
  • Mikael Hartman,
  • Jingmei Li,
  • Christopher Scott,
  • Anna M. Chiarelli,
  • Linda Linton,
  • Marina Pollan,
  • Anath Arzee Flugelman,
  • Dorria Salem,
  • Rasha Kamal,
  • Norman Boyd,
  • Isabel dos-Santos-Silva,
  • Valerie McCormack,
  • Maeve Mullooly

DOI
https://doi.org/10.1186/s13058-024-01890-x
Journal volume & issue
Vol. 26, no. 1
pp. 1 – 17

Abstract

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Abstract Background Elevated mammographic density (MD) for a woman’s age and body mass index (BMI) is an established breast cancer risk factor. The relationship of parity, age at first birth, and breastfeeding with MD is less clear. We examined the associations of these factors with MD within the International Consortium of Mammographic Density (ICMD). Methods ICMD is a consortium of 27 studies with pooled individual-level epidemiological and MD data from 11,755 women without breast cancer aged 35–85 years from 22 countries, capturing 40 country-& ethnicity-specific population groups. MD was measured using the area-based tool Cumulus. Meta-analyses across population groups and pooled analyses were used to examine linear regression associations of square-root (√) transformed MD measures (percent MD (PMD), dense area (DA), and non-dense area (NDA)) with parity, age at first birth, ever/never breastfed and lifetime breastfeeding duration. Models were adjusted for age at mammogram, age at menarche, BMI, menopausal status, use of hormone replacement therapy, calibration method, mammogram view and reader, and parity and age at first birth when not the association of interest. Results Among 10,988 women included in these analyses, 90.1% (n = 9,895) were parous, of whom 13% (n = 1,286) had ≥ five births. The mean age at first birth was 24.3 years (Standard deviation = 5.1). Increasing parity (per birth) was inversely associated with √PMD (β: − 0.05, 95% confidence interval (CI): − 0.07, − 0.03) and √DA (β: − 0.08, 95% CI: − 0.12, − 0.05) with this trend evident until at least nine births. Women who were older at first birth (per five-year increase) had higher √PMD (β:0.06, 95% CI:0.03, 0.10) and √DA (β:0.06, 95% CI:0.02, 0.10), and lower √NDA (β: − 0.06, 95% CI: − 0.11, − 0.01). In stratified analyses, this association was only evident in women who were post-menopausal at MD assessment. Among parous women, no associations were found between ever/never breastfed or lifetime breastfeeding duration (per six-month increase) and √MD. Conclusions Associations with higher parity and older age at first birth with √MD were consistent with the direction of their respective associations with breast cancer risk. Further research is needed to understand reproductive factor-related differences in the composition of breast tissue and their associations with breast cancer risk.

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