Evidence map›Paper›PMID 41146228›Full record

ArticleBreast cancer research : BCR2025

Associations of early-adulthood adiposity with breast parenchymal tissue complexity within premenopausal women.

Sneha Das Gupta, Kayla Getz, Juanita Hernandez Lopez, Debbie L Bennett, Adetunji T Toriola, Aimilia Gastounioti

Abstract read
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Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sneha Das GuptaBreast Image Computing Lab, Computational Imaging Research Center, Washington University School of Medicine, St Louis, MO, USA.
Kayla GetzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.
Juanita Hernandez LopezBreast Image Computing Lab, Computational Imaging Research Center, Washington University School of Medicine, St Louis, MO, USA.
Debbie L BennettSiteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, St Louis, MO, USA.
Adetunji T Toriola *Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.
Aimilia Gastounioti *Breast Image Computing Lab, Computational Imaging Research Center, Washington University School of Medicine, St Louis, MO, USA. a.gastounioti@wustl.edu.

Funding

21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
Advancing breast cancer risk assessment with digital breast tomosynthesisR01CA286120 · NCI · WASHINGTON UNIVERSITY · PI Aimilia Gastounioti · 2024 to 2026
$3.1M
Metabolite Profiles and Mammographic Density in Premenopausal WomenR01CA246592 · NCI · WASHINGTON UNIVERSITY · PI TORIOLA, ADETUNJI T · 2020 to 2024
$1.8M
Alvin J. Siteman Cancer Center 6118NCI NIH HHS R01 CA246592NCI NIH HHS R01 CA286120NIBIB NIH HHS T32 EB014855NIH HHS R01CA246592NIH HHS R01CA286120NIH HHS T32-EB014855-12Susan G. Komen for the Cure ASP241266346Susan G. Komen for the Cure CCR15332379U.S. Department of Defense BC230591
6 · The paper itself

Abstract

backgroundEarly-adulthood adiposity is associated with breast cancer risk. This study aims to evaluate the associations of early-adulthood adiposity with an emerging biomarker of breast cancer risk, breast parenchymal complexity, within premenopausal women.

methodsWe retrospectively analyzed early-adulthood adiposity data and screening digital mammograms (DMs) of 326 premenopausal women (age in years; median: 48; range: 34-58) recruited at our institution. Adiposity measures were either assessed by trained personnel or self-reported by participants. DMs were analyzed using a well-validated computational imaging pipeline consisting of automated breast segmentation and radiomic feature extraction modules. The extracted radiomic features were fused into woman-specific breast parenchymal complexity feature vectors via principal component analysis, which were then used to identify distinct breast parenchymal complexity clusters via hierarchical clustering. Associations between each early-adulthood adiposity measure and breast parenchymal complexity clusters were assessed via logistic regression models and odds ratios (ORs) with the higher complexity cluster as reference. Associations between each early-adulthood adiposity measures with principal components were assessed via linear regression models and regression coefficients (b). All models were adjusted for age at screening, race, family history of breast cancer, and parity.

resultsTwo statistically significant clusters of high and low breast parenchymal complexity (p value < 0.001) were identified. Women with higher weight and body-mass index at ages 18 and 30 and larger weight increases over time were associated with lower breast parenchymal complexity, based on regression analysis of complexity clusters (1.04 ≤ OR ≤ 2.46) and principal components (0.13 ≤ b ≤ 6.76). Strongest associations were found for annual weight changes from age 18 to age at DM screening (mean change: 0.81 kg/year; OR = 2.46, 95% CI: [1.52, 3.98]; b = 6.76, 95% CI: [5.53, 8.00]) and from age 30 to age at DM screening (mean change: 0.78 kg/year; OR = 1.60, 95% CI: [1.20, 2.12]; b = 3.33, 95% CI: [2.56, 4.11]).

conclusionOur preliminary data suggest that adiposity in early adulthood, as well as weight gain during early adulthood, may have a lifelong impact on breast parenchymal tissue patterns within premenopausal women. The inverse associations with breast parenchymal complexity may indicate a protective effect of of early-adulthood adiposity on breast cancer risk.

Indexed as

AdiposityBreastBreast NeoplasmsParenchymal TissuePremenopauseAdultBody Mass IndexBreast DensityEarly Detection of CancerFemaleHumansMammographyMiddle AgedRetrospective StudiesRisk FactorsAdiposityBreast cancer riskBreast parenchymal tissueDigital mammographyRadiomicsTexture

Identifiers

PMID41146228
PMCPMC12557909

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.