Evidence map›Paper›PMID 21877142›Full record

ArticleBreast cancer research and treatment2012

Tissue composition of mammographically dense and non-dense breast tissue.

Karthik Ghosh, Kathleen R Brandt, Carol Reynolds, Christopher G Scott, V S Pankratz, Darren L Riehle, Wilma L Lingle, Tonye Odogwu, Derek C Radisky, Daniel W Visscher and 3 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Observational
  18. Article
  19. Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  20. 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

13 authors.

Karthik GhoshDepartment of Medicine, Mayo Clinic College of Medicine, Charlton 6-239, 200 First Street SW, Rochester, MN 55905, USA.
Kathleen R Brandt
Carol Reynolds
Christopher G Scott
V S Pankratz
Darren L Riehle
Wilma L Lingle
Tonye Odogwu
Derek C Radisky
Daniel W Visscher
James N Ingle
Lynn C Hartmann
Celine M Vachon

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
Mayo Clinic Center for Translational Science ActivitiesKL2RR024151 · NCRR · MAYO CLINIC ROCHESTER · PI RIZZA, ROBERT A. · 2006 to 2011
$15.3M
Risk Prediction for Breast Cancer: A Tissue-Based StrategyR01CA132879 · NCI · MAYO CLINIC ROCHESTER · PI HARTMANN, LYNN C., PANKRATZ, V. SHANE · 2008 to 2012
$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
NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA128931NCI NIH HHS R01 CA132879NCI NIH HHS R01 CA140286NCRR NIH HHS K12 RR24151NCRR NIH HHS KL2 RR024151
6 · The paper itself

Abstract

Mammographic density is a strong risk factor for breast cancer but its underlying biology in healthy women is not well-defined. Using a novel collection of core biopsies from mammographically dense versus non-dense regions of the breasts of healthy women, we examined histologic and molecular differences between these two tissue types. Eligible participants were 40 + years, had a screening mammogram and no prior breast cancer or current endocrine therapy. Mammograms were used to identify dense and non-dense regions and ultrasound-guided core biopsies were performed to obtain tissue from these regions. Quantitative assessment of epithelium, stroma, and fat was performed on dense and non-dense cores. Molecular markers including Ki-67, estrogen receptor (ER) and progesterone receptor (PR) were also assessed for participants who had >0% epithelial area in both dense and non-dense tissue. Signed rank test was used to assess within woman differences in epithelium, stroma and fat between dense and non-dense tissue. Differences in molecular markers (Ki-67, ER, and PR) were analyzed using generalized linear models, adjusting for total epithelial area. Fifty-nine women, mean age 51 years (range: 40-82), were eligible for analyses. Dense tissue was comprised of greater mean areas of epithelium and stroma (1.1 and 9.2 mm(2) more, respectively) but less fat (6.0 mm(2) less) than non-dense tissue. There were no statistically significant differences in relative expression of Ki-67 (P = 0.82), ER (P = 0.09), or PR (P = 0.96) between dense and non-dense tissue. Consistent with prior reports, we found that mammographically dense areas of the breast differ histologically from non-dense areas, reflected in greater proportions of epithelium and stroma and lesser proportions of fat in the dense compared to non-dense breast tissue. Studies of both epithelial and stromal components are important in understanding the association between mammographic density and breast cancer risk.

Indexed as

AdultAgedAged, 80 and overBiopsyBreastBreast NeoplasmsEpitheliumFemaleHumansKi-67 AntigenMammographyMiddle AgedReceptors, EstrogenReceptors, ProgesteroneKi-67 AntigenReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID21877142
PMCPMC3707294

What OpenQuestion holds

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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.