Evidence map›Paper›PMID 34753492›Full record

ArticleBreast cancer research : BCR2021

Mammary collagen architecture and its association with mammographic density and lesion severity among women undergoing image-guided breast biopsy.

Clara Bodelon, Maeve Mullooly, Ruth M Pfeiffer, Shaoqi Fan, Mustapha Abubakar, Petra Lenz, Pamela M Vacek, Donald L Weaver, Sally D Herschorn, Jason M Johnson and 9 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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.7field-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

30 citing papers in PubMed, 41 citations in OpenAlex.

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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

19 authors at 8 institutions in 2 countries.

Clara BodelonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA. clara.bodelon@nih.gov.ORCID 0000-0002-6578-2678
Maeve MulloolyDivision of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
Shaoqi FanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
Petra LenzDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
Pamela M VacekUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA.
Donald L WeaverUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA.
Sally D HerschornUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA.
Jason M JohnsonThe University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Brian L SpragueUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA.
Stephen HewittDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
John ShepherdUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Serghei MalkovApplied Materials, Santa Clara, CA, USA.
Patricia J KeelyDepartment of Cell and Regenerative Biology and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Ave., WIMR II Rm. 4528, Madison, WI, 53705, USA.
Kevin W EliceiriDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Mark E Sherman *Mayo Clinic, Jacksonville, FL, USA.
Matthew W Conklin *Department of Cell and Regenerative Biology and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Ave., WIMR II Rm. 4528, Madison, WI, 53705, USA. mwconklin@wisc.edu.
Gretchen L Gierach *Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
National Cancer Institute · USUniversity of Vermont · USUniversity of Wisconsin–Madison · USApplied Materials (United States) · USRoyal College of Surgeons in Ireland · IEThe University of Texas MD Anderson Cancer Center · USUniversity of Hawaiʻi at Mānoa · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElevated mammographic breast density is a strong breast cancer risk factor with poorly understood etiology. Increased deposition of collagen, one of the main fibrous proteins present in breast stroma, has been associated with increased mammographic density. Collagen fiber architecture has been linked to poor outcomes in breast cancer. However, relationships of quantitative collagen fiber features assessed in diagnostic biopsies with mammographic density and lesion severity are not well-established.

methodsClinically indicated breast biopsies from 65 in situ or invasive breast cancer cases and 73 frequency matched-controls with a benign biopsy result were used to measure collagen fiber features (length, straightness, width, alignment, orientation and density (fibers/µm

resultsCollagen fiber density was positively associated with the proportion of stroma on the biopsy slide (p < 0.001) and with local percent mammographic density volume at both the biopsy target (p = 0.035) and within a 2 mm perilesional ring (p = 0.02), but not with global mammographic density measures. As severity of the breast biopsy diagnosis increased at the ROI level, collagen fibers tended to be less dense, shorter, straighter, thinner, and more aligned with one another (p < 0.05).

conclusionsCollagen fiber density was positively associated with local, but not global, mammographic density, suggesting that collagen microarchitecture may not translate into macroscopic mammographic features. However, collagen fiber features may be markers of cancer risk and/or progression among women referred for biopsy based on abnormal breast imaging.

Indexed as

Breast DensityAdultAgedBreastBreast DiseasesBreast NeoplasmsCollagenFemaleHumansImage-Guided BiopsyMammographyMicroscopyMiddle AgedStromal CellsCollagenBreast diseasesBreast neoplasmsBreast pathologyCollagen fibersMammographic densitySecond harmonic generation imaging

Identifiers

PMID34753492
PMCPMC8579610
OpenAlexW3213524078

What OpenQuestion holds

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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.