Evidence map›Paper›PMID 31352658›Full record

ArticleCancer causes & control : CCC2019

Associations of mammographic breast density with breast stem cell marker-defined breast cancer subtypes.

Lusine Yaghjyan, Ashwini K Esnakula, Christopher G Scott, Akemi T Wijayabahu, Matthew R Jensen, Celine M Vachon

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Associations of Stem Cell Markers with Lobular Involution in Benign Breast Tissue.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

6 authors at 2 institutions in 1 country.

Lusine YaghjyanDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA. lyaghjyan@ufl.edu.ORCID http://orcid.org/0000-0002-1626-5340
Ashwini K EsnakulaDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL, 32610, USA.
Christopher G ScottDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, MN, 55905, USA.
Akemi T WijayabahuDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA.
Matthew R JensenDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, MN, 55905, USA.
Celine M VachonDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, MN, 55905, USA.
Mayo Clinic · USUniversity of Florida · US

Funding

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
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
NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA128931NCI NIH HHS R01 CA140286University of Florida Cancer Center NA
6 · The paper itself

Abstract

purposeHigh mammographic breast density is a strong, well-established breast cancer risk factor. Whether stem cells may explain high breast cancer risk in dense breasts is unknown. We investigated the association between breast density and breast cancer risk by the status of stem cell markers CD44, CD24, and ALDH1A1 in the tumor.

methodsWe included 223 women with primary invasive or in situ breast cancer and 399 age-matched controls from Mayo Clinic Mammography Study. Percent breast density (PD), absolute dense area (DA), and non-dense area (NDA) were assessed using computer-assisted thresholding technique. Immunohistochemical analysis of the markers was performed on tumor tissue microarrays according to a standard protocol. We used polytomous logistic regression to quantify the associations of breast density measures with breast cancer risk across marker-defined tumor subtypes.

resultsOf the 223 cancers in the study, 182 were positive for CD44, 83 for CD24 and 52 for ALDH1A1. Associations of PD were not significantly different across t marker-defined subtypes (51% + vs. 11-25%: OR 2.83, 95% CI 1.49-5.37 for CD44+ vs. OR 1.87, 95% CI 0.47-7.51 for CD44-, p-heterogeneity = 0.66; OR 2.80, 95% CI 1.27-6.18 for CD24+ vs. OR 2.44, 95% CI 1.14-5.22 for CD24-, p-heterogeneity = 0.61; OR 3.04, 95% CI 1.14-8.10 for ALDH1A1+ vs. OR 2.57. 95% CI 1.30-5.08 for ALDH1A1-, p-heterogeneity = 0.94). Positive associations of DA and inverse associations of NDA with breast cancer risk were similar across marker-defined subtypes.

conclusionsWe found no evidence of differential associations of breast density with breast cancer risk by the status of stem cell markers. Further studies in larger study populations are warranted to confirm these associations.

Indexed as

Breast DensityMammographyAgedBiomarkers, TumorBreastBreast NeoplasmsCase-Control StudiesFemaleHumansMiddle AgedRisk FactorsStem CellsBiomarkers, TumorALDH1A1Breast cancer riskBreast stem cell markersCD24CD44Mammographic breast density

Identifiers

PMID31352658
PMCPMC7433400
OpenAlexW2966488731

What OpenQuestion holds

Textmetadata
LicenceTDM
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.