Evidence map›Paper›PMID 26645278›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2016

Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities.

Gretchen L Gierach, Deesha A Patel, Ruth M Pfeiffer, Jonine D Figueroa, Laura Linville, Daphne Papathomas, Jason M Johnson, Rachael E Chicoine, Sally D Herschorn, John A Shepherd and 14 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00475761 (Breast Radiology Evaluation and Study of Tissues), which is not on this map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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.

NCT00475761 completednot on this map

Breast Radiology Evaluation and Study of Tissues (Breast) Stamp Project

TypeobservationalSponsorNational Cancer Institute (NCI)Ran2007Enrolled466ConditionsBreast Neoplasms
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. 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
    Article
  7. Mammographic Density in Relation to Breast Cancer Risk Factors among Chinese Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  8. Article
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  11. Article
  12. Article
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  14. Article
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  16. Article
  17. Early-Life and Adult Adiposity, Adult Height, and Benign Breast Tissue Composition.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  18. Article
  19. Breast Cancer and Microcalcifications: An Osteoimmunological Disorder?International journal of molecular sciences · 2020
    Review
  20. Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    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

24 authors at 3 institutions in 1 country.

Gretchen L GierachHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. gierachg@mail.nih.gov.
Deesha A PatelHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Ruth M PfeifferBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Jonine D FigueroaHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Laura LinvilleHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Daphne PapathomasHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Jason M JohnsonThe University of Texas MD Anderson Cancer Center, Houston, TX.
Rachael E ChicoineUniversity of Vermont, Burlington, Vermont.
Sally D HerschornUniversity of Vermont, Burlington, Vermont.
John A ShepherdUniversity of California, San Francisco, San Francisco, California.
Jeff WangUniversity of California, San Francisco, San Francisco, California.
Serghei MalkovUniversity of California, San Francisco, San Francisco, California.
Pamela M VacekUniversity of Vermont, Burlington, Vermont.
Donald L WeaverUniversity of Vermont, Burlington, Vermont.
Bo FanUniversity of California, San Francisco, San Francisco, California.
Amir Pasha MahmoudzadehUniversity of California, San Francisco, San Francisco, California.
Maya PalakalHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Jackie XiangHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Hannah OhHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Hisani N HorneHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Brian L SpragueUniversity of Vermont, Burlington, Vermont.
Stephen M HewittLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Louise A BrintonHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Mark E ShermanBreast and Gynecologic Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
University of California, San Francisco · USUniversity of Vermont · USThe University of Texas MD Anderson Cancer Center · US

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Lesion Composition and Quantitative Imaging Analysis on Breast Cancer DiagnosisR01CA166945 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GIGER, MARYELLEN L., SHEPHERD, JOHN ALAN · 2013 to 2017
$3.3M
Subregional Breast Density and Cancer RiskR21CA157254 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHEPHERD, JOHN ALAN · 2012 to 2013
$357k
Intramural NIH HHS ZIA CP010126NCI NIH HHS 1R21CA157254NCI NIH HHS R01 CA166945NCI NIH HHS R21 CA157254NCI NIH HHS U01 CA070013NCI NIH HHS U01CA70013NCI NIH HHS U54 CA163303NCI NIH HHS U54CA163303
6 · The paper itself

Abstract

Elevated mammographic density (MD) is an established breast cancer risk factor. Reduced involution of terminal duct lobular units (TDLU), the histologic source of most breast cancers, has been associated with higher MD and breast cancer risk. We investigated relationships of TDLU involution with area and volumetric MD, measured throughout the breast and surrounding biopsy targets (perilesional). Three measures inversely related to TDLU involution (TDLU count/mm(2), median TDLU span, median acini count/TDLU) assessed in benign diagnostic biopsies from 348 women, ages 40-65, were related to MD area (quantified with thresholding software) and volume (assessed with a density phantom) by analysis of covariance, stratified by menopausal status and adjusted for confounders. Among premenopausal women, TDLU count was directly associated with percent perilesional MD (P trend = 0.03), but not with absolute dense area/volume. Greater TDLU span was associated with elevated percent dense area/volume (P trend<0.05) and absolute perilesional MD (P = 0.003). Acini count was directly associated with absolute perilesional MD (P = 0.02). Greater TDLU involution (all metrics) was associated with increased nondense area/volume (P trend ≤ 0.04). Among postmenopausal women, TDLU measures were not significantly associated with MD. Among premenopausal women, reduced TDLU involution was associated with higher area and volumetric MD, particularly in perilesional parenchyma. Data indicating that TDLU involution and MD are correlated markers of breast cancer risk suggest that associations of MD with breast cancer may partly reflect amounts of at-risk epithelium. If confirmed, these results could suggest a prevention paradigm based on enhancing TDLU involution and monitoring efficacy by assessing MD reduction.

Indexed as

AdultAgedAge FactorsBreastBreast DensityBreast NeoplasmsCarcinoma, LobularFemaleFollow-Up StudiesHumansMammary Glands, HumanMammographyMiddle AgedNeoplasm StagingPremenopausePrognosis

Identifiers

PMID26645278
PMCPMC4784982
OpenAlexW2190411421

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Registered trials

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.