Evidence map›Paper›PMID 25716949›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

Dense and nondense mammographic area and risk of breast cancer by age and tumor characteristics.

Kimberly A Bertrand, Christopher G Scott, Rulla M Tamimi, Matthew R Jensen, V Shane Pankratz, Aaron D Norman, Daniel W Visscher, Fergus J Couch, John Shepherd, Yunn-Yi Chen and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Early Life Body Fatness, Serum Anti-Müllerian Hormone, and Breast Density in Young Adult Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Associations between Intakes of One-Carbon Metabolism-Related Vitamins and Breast Density among Young Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  9. Article
  10. Article
  11. Cancer Progress and Priorities: Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Review
  12. Article
  13. Screening Algorithms in Dense Breasts:AJR. American journal of roentgenology · 2021
    Review
  14. Article
  15. Article
  16. Breast health screening: a UK-wide questionnaire.BMJ nutrition, prevention & health · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

17 authors at 6 institutions in 2 countries.

Kimberly A BertrandChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Christopher G ScottDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota.
Rulla M TamimiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Matthew R JensenDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota.
V Shane PankratzDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota.
Aaron D NormanDepartment of Health Sciences Research, Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, Minnesota.
Daniel W VisscherDepartment of Anatomic Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota.
Fergus J CouchDepartment of Health Sciences Research, Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, Minnesota. Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota.
John ShepherdDepartment of Radiology, University of California, San Francisco, California.
Yunn-Yi ChenDepartment of Pathology, University of California, San Francisco, California.
Bo FanDepartment of Radiology, University of California, San Francisco, California.
Fang-Fang WuDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota.
Lin MaDepartment of Medicine, University of California, San Francisco, California.
Andrew H BeckDepartment of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California.
Karla KerlikowskeDepartments of Epidemiology and Biostatistics and General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco, California.
Celine M VachonDepartment of Health Sciences Research, Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, Minnesota. vachon.celine@mayo.edu.
Mayo Clinic · USUniversity of California, San Francisco · USBrigham and Women's Hospital · USBeth Israel Deaconess Medical Center · USCalifornia Pacific Medical Center · USSan Francisco VA Medical Center · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
Risk Factors for Breast Cancer in Younger NursesR01CA050385 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 1989 to 2019
$32.3M
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
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
A Mayo Cohort Study of Mammographic Breast DensityR01CA097396 · NCI · MAYO CLINIC ROCHESTER · PI VACHON, CELINE M · 2003 to 2007
$3.1M
BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
Identifying Genes for Mammographic Breast DensityR01CA128931 · NCI · MAYO CLINIC ROCHESTER · PI VACHON, CELINE M · 2008 to 2012
$2.7M
NCI NIH HHS P01 CA087969NCI NIH HHS P01CA087969NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA058207NCI NIH HHS P50 CA116201NCI NIH HHS P50 CA58207NCI NIH HHS R01 CA050385NCI NIH HHS R01 CA097396NCI NIH HHS R01 CA116167NCI NIH HHS R01 CA124865NCI NIH HHS R01 CA128931NCI NIH HHS R01 CA131332NCI NIH HHS R01 CA140286NCI NIH HHS R01 CA97396NCI NIH HHS U01 CA063740NCI NIH HHS U01 CA116167NCI NIH HHS U01 CA63740NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundMammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent mammographic density (PMD) with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages <55 years. To provide insight into these associations, we examined the components of PMD [dense area (DA) and nondense area (NDA)] with breast cancer subtypes.

methodsData were pooled from six studies including 4,095 breast cancers and 8,558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathologic characteristics and receptor status were calculated using polytomous logistic regression.

resultsDA was associated with increased breast cancer risk [OR for quartiles: 0.65, 1.00 (Ref), 1.22, 1.55; P(trend) <0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00 (Ref), 0.88, 0.72; P(trend) <0.001] across all ages and invasive tumor characteristics. There were significant trends in the magnitude of associations of both DA and NDA with breast cancer by increasing tumor size (P(trend) < 0.001) but no differences by nodal status. Among women <55 years, DA was more strongly associated with increased risk of ER(+) versus ER(-) tumors (P(het) = 0.02), while NDA was more strongly associated with decreased risk of ER(-) versus ER(+) tumors (P(het) = 0.03).

conclusionsDA and NDA have differential associations with ER(+) versus ER(-) tumors that vary by age. IMPACT: DA and NDA are important to consider when developing age- and subtype-specific risk models.

Indexed as

AdultAge FactorsBreast DensityBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansMammary Glands, HumanMiddle AgedRadiographyReceptors, EstrogenRisk FactorsYoung AdultERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, Estrogen

Identifiers

PMID25716949
PMCPMC4417380
OpenAlexW2131310023

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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.