Evidence map›Paper›PMID 34225771›Full record

ArticleBreast cancer research : BCR2021

Associations of reproductive breast cancer risk factors with breast tissue composition.

Lusine Yaghjyan, Rebecca J Austin-Datta, Hannah Oh, Yujing J Heng, Adithya D Vellal, Korsuk Sirinukunwattana, Gabrielle M Baker, Laura C Collins, Divya Murthy, Bernard Rosner and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  7. Pregnancy associated breast cancer: correlation between parity and ultrasonic characteristics of tumors & background echotexture.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  8. Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  9. Article
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  12. Reproductive Factors Related to Childbearing and a Novel Automated Mammographic Measure, V.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
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  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Lusine YaghjyanCollege of Public Health and Health Professions and College of Medicine, Department of Epidemiology, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA. lyaghjyan@ufl.edu.ORCID 0000-0002-1626-5340
Rebecca J Austin-DattaCollege of Public Health and Health Professions and College of Medicine, Department of Epidemiology, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA.
Hannah OhDivision of Health Policy and Management, College of Health Sciences, Korea University, Seoul, South Korea.
Yujing J HengDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Adithya D VellalDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Korsuk SirinukunwattanaDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Gabrielle M BakerDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Laura C CollinsDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Divya MurthyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Bernard RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Beth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USUniversity of Florida · USCornell University · USKorea University · KR

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Whole Genome Association Study of Mammographic DensityR01CA131332 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2009 to 2012
$1.9M
Mammographic density and texture features in relation to breast cancer riskR01CA175080 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2013 to 2016
$1.7M
The role of breast stem cells in breast cancer etiology and risk predictionR01CA240341 · NCI · UNIVERSITY OF FLORIDA · PI YAGHJYAN, LUSINE · 2020 to 2023
$1.4M
NCI NIH HHS CA131332NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA131332NCI NIH HHS R01 CA175080NCI NIH HHS R01 CA240341NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundWe investigated the associations of reproductive factors with the percentage of epithelium, stroma, and fat tissue in benign breast biopsy samples.

methodsThis study included 983 cancer-free women with biopsy-confirmed benign breast disease (BBD) within the Nurses' Health Study and Nurses' Health Study II cohorts. The percentage of each tissue type (epithelium, stroma, and fat) was measured on whole-section images with a deep-learning technique. All tissue measures were log-transformed in all the analyses to improve normality. The data on reproductive variables and other breast cancer risk factors were obtained from biennial questionnaires. Generalized linear regression was used to examine the associations of reproductive factors with the percentage of tissue types, while adjusting for known breast cancer risk factors.

resultsAs compared to parous women, nulliparous women had a smaller percentage of epithelium (β = - 0.26, 95% confidence interval [CI] - 0.41, - 0.11) and fat (β = - 0.34, 95% CI - 0.54, - 0.13) and a greater percentage of stroma (β = 0.04, 95% CI 0.01, 0.08). Among parous women, the number of children was inversely associated with the percentage of stroma (β per child = - 0.01, 95% CI - 0.02, - 0.00). The duration of breastfeeding of ≥ 24 months was associated with a reduced proportion of fat (β = - 0.30, 95% CI - 0.54, - 0.06; p-trend = 0.04). In a separate analysis restricted to premenopausal women, older age at first birth was associated with a greater proportion of epithelium and a smaller proportion of stroma.

conclusionsOur findings suggest that being nulliparous as well as having a fewer number of children (both positively associated with breast cancer risk) is associated with a smaller proportion of epithelium and a greater proportion of stroma, potentially suggesting the importance of epithelial-stromal interactions. Future studies are warranted to confirm our findings and to elucidate the underlying biological mechanisms.

Indexed as

Reproductive HistoryAdipose TissueAdultBreastBreast DiseasesBreast NeoplasmsEpitheliumFemaleHumansMiddle AgedRisk FactorsStromal CellsAge at first childBenign breast diseaseBreast cancer riskBreastfeedingParity

Identifiers

PMID34225771
PMCPMC8258947
OpenAlexW3178677813

What OpenQuestion holds

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LicenceCC BY
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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.