Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease.

Benign breast disease Breast cancer risk Mammographic breast density

Journal

Breast cancer research : BCR
ISSN: 1465-542X
Titre abrégé: Breast Cancer Res
Pays: England
ID NLM: 100927353

Informations de publication

Date de publication:
26 Mar 2024
Historique:
received: 14 08 2023
accepted: 06 01 2024
medline: 27 3 2024
pubmed: 27 3 2024
entrez: 27 3 2024
Statut: epublish

Résumé

Benign breast disease (BBD) and high mammographic breast density (MBD) are prevalent and independent risk factors for invasive breast cancer. It has been suggested that temporal changes in MBD may impact future invasive breast cancer risk, but this has not been studied among women with BBD. We undertook a nested case-control study within a cohort of 15,395 women with BBD in Kaiser Permanente Northwest (KPNW; 1970-2012, followed through mid-2015). Cases (n = 261) developed invasive breast cancer > 1 year after BBD diagnosis, whereas controls (n = 249) did not have breast cancer by the case diagnosis date. Cases and controls were individually matched on BBD diagnosis age and plan membership duration. Standardized %MBD change (per 2 years), categorized as stable/any increase (≥ 0%), minimal decrease of less than 5% or a decrease greater than or equal to 5%, was determined from baseline and follow-up mammograms. Associations between MBD change and breast cancer risk were examined using adjusted unconditional logistic regression. Overall, 64.5% (n = 329) of BBD patients had non-proliferative and 35.5% (n = 181) had proliferative disease with/without atypia. Women with an MBD decrease (≤ - 5%) were less likely to develop breast cancer (Odds Ratio (OR) 0.64; 95% Confidence Interval (CI) 0.38, 1.07) compared with women with minimal decreases. Associations were stronger among women ≥ 50 years at BBD diagnosis (OR 0.48; 95% CI 0.25, 0.92) and with proliferative BBD (OR 0.32; 95% CI 0.11, 0.99). Assessment of temporal MBD changes may inform risk monitoring among women with BBD, and strategies to actively reduce MBD may help decrease future breast cancer risk.

Identifiants

pubmed: 38532516
doi: 10.1186/s13058-024-01764-2
pii: 10.1186/s13058-024-01764-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

52

Subventions

Organisme : Health Research Board
ID : EIA-2019-012
Pays : Ireland
Organisme : NCI NIH HHS
ID : R50CA211115
Pays : United States

Informations de copyright

© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Auteurs

Maeve Mullooly (M)

School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.

Shaoqi Fan (S)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Ruth M Pfeiffer (RM)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Erin Aiello Bowles (EA)

Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.

Máire A Duggan (MA)

Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N2Y9, Canada.

Roni T Falk (RT)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Kathryn Richert-Boe (K)

Kaiser Permanente Center for Health Research, Portland, OR, USA.

Andrew G Glass (AG)

Kaiser Permanente Center for Health Research, Portland, OR, USA.

Teresa M Kimes (TM)

Kaiser Permanente Center for Health Research, Portland, OR, USA.

Jonine D Figueroa (JD)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Usher Institute, University of Edinburgh, Edinburgh, UK.

Thomas E Rohan (TE)

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.

Mustapha Abubakar (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. mustapha.abubakar2@nih.gov.

Gretchen L Gierach (GL)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Classifications MeSH