Evidence map›Paper›PMID 30944014›Full record

ArticleBreast cancer research : BCR2019

Body mass index, mammographic density, and breast cancer risk by estrogen receptor subtype.

Yiwey Shieh, Christopher G Scott, Matthew R Jensen, Aaron D Norman, Kimberly A Bertrand, V Shane Pankratz, Kathleen R Brandt, Daniel W Visscher, John A Shepherd, Rulla M Tamimi and 2 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Effect of Metformin on Breast Density in Overweight/Obese Premenopausal Women.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Adiposity throughout Adulthood and Risk of Young-Onset Breast Cancer Tumor Subtypes in the Young Women's Health History Study.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. An analysis of the association between breast density and body mass index with breast cancer molecular subtypes in early breast cancer: data from a Spanish population.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  11. Article
  12. Article
  13. Impact of BMI on Prevalence of Dense Breasts by Race and Ethnicity.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Body mass index and patient-reported function, quality of life and treatment toxicity in women receiving adjuvant chemotherapy for breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  19. Article
  20. Observational
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

12 authors.

Yiwey ShiehDivision of General Internal Medicine, University of California, San Francisco, 1545 Divisadero Street, Box 0320, San Francisco, CA, 94115, USA. Yiwey.Shieh@ucsf.edu.ORCID 0000-0002-0159-7748
Christopher G ScottDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Matthew R JensenDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Aaron D NormanDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Kimberly A BertrandSlone Epidemiology Center at Boston University, Boston, MA, USA.
V Shane PankratzDepartment of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
Kathleen R BrandtDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Daniel W VisscherDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
John A ShepherdDepartment of Radiology, University of Hawaii Cancer Center, Honolulu, HI, USA.
Rulla M TamimiChanning Division of Network Medicine, Brigham and Women's Hospital & Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Celine M VachonDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Karla KerlikowskeGeneral Internal Medicine Section, San Francisco Veterans Affairs Medical Center & Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI Fergus Joseph Couch · 2005 to 2026
$49.9M
Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLACKBURN, ELIZABETH H · 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
Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
A Mayo Cohort Study of Mammographic Breast DensityR01CA097396 · NCI · MAYO CLINIC ROCHESTER · PI VACHON, CELINE M · 2003 to 2007
$3.1M
Genetic epidemiology of cell division regulation in breast cancerR01CA122340 · 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
Risk factors for breast cancer molecular subtypesR01CA140286 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, VACHON, CELINE M · 2010 to 2014
$2.6M
Whole Genome Association Study of Mammographic DensityR01CA131332 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2009 to 2012
$1.9M
NCATS NIH HHS KL2 TR001870NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA087969NCI NIH HHS P01 CA154292NCI NIH HHS P50 CA058207NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA050385NCI NIH HHS R01 CA097396NCI NIH HHS R01 CA122340NCI NIH HHS R01 CA124865NCI NIH HHS R01 CA128931NCI NIH HHS R01 CA131332NCI NIH HHS R01 CA140286NIDDK NIH HHS P30 DK098722
6 · The paper itself

Abstract

backgroundObesity and elevated breast density are common risk factors for breast cancer, and their effects may vary by estrogen receptor (ER) subtype. However, their joint effects on ER subtype-specific risk are unknown. Understanding this relationship could enhance risk stratification for screening and prevention. Thus, we assessed the association between breast density and ER subtype according to body mass index (BMI) and menopausal status.

methodsWe conducted a case-control study nested within two mammography screening cohorts, the Mayo Mammography Health Study and the San Francisco Bay Area Breast Cancer SPORE/San Francisco Mammography Registry. Our pooled analysis contained 1538 ER-positive and 285 ER-negative invasive breast cancer cases and 4720 controls matched on age, menopausal status at time of mammogram, and year of mammogram. Percent density was measured on digitized film mammograms using computer-assisted techniques. We used polytomous logistic regression to evaluate the association between percent density and ER subtype by BMI subgroup (normal/underweight, < 25 kg/m

resultsPercent density was associated with increased risk of overall breast cancer regardless of menopausal status or BMI. However, when analyzing breast cancer across ER subtype, we found a statistically significant (p = 0.008) interaction between percent density and BMI in premenopausal women only. Specifically, elevated percent density was associated with a higher risk of ER-negative than ER-positive cancer in overweight/obese premenopausal women [OR per standard deviation increment 2.17 (95% CI 1.50-3.16) vs 1.33 (95% CI 1.11-1.61) respectively, P

conclusionsThe combination of overweight/obesity and elevated breast density in premenopausal women is associated with a higher risk of ER-negative compared with ER-positive cancer. Eighteen percent of premenopausal women in the USA have elevated BMI and breast density and may benefit from lifestyle modifications involving weight loss and exercise.

Indexed as

Body Mass IndexBreast DensityAgedBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleHumansMiddle AgedOdds RatioPrevalenceReceptors, EstrogenRisk AssessmentRisk FactorsBiomarkers, TumorReceptors, EstrogenBreast neoplasmsEpidemiologyMammographic breast densityPreventionRisk factors

Identifiers

PMID30944014
PMCPMC6448282

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.