Evidence map›Paper›PMID 26893016›Full record

ArticleBreast cancer research : BCR2016

Circulating insulin-like growth factor-I, insulin-like growth factor binding protein-3 and terminal duct lobular unit involution of the breast: a cross-sectional study of women with benign breast disease.

Hisani N Horne, Mark E Sherman, Ruth M Pfeiffer, Jonine D Figueroa, Zeina G Khodr, Roni T Falk, Michael Pollak, Deesha A Patel, Maya M Palakal, Laura Linville and 14 more

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research : BCR, 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Involution of breast tissue and mammographic density.Breast cancer research : BCR · 2016
    Article
  16. Defining human insulin-like growth factor I gene regulation.American journal of physiology. Endocrinology and metabolism · 2016
    Article
  17. 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 7 institutions in 3 countries.

Hisani N HorneMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. hisani.madison@fda.hhs.gov.
Mark E ShermanBreast and Gynecologic Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. shermanm@exchange.nih.gov.
Ruth M PfeifferBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. pfeiffer@mail.nih.gov.
Jonine D FigueroaUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, Scotland. figueroaj@mail.nih.gov.
Zeina G KhodrMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. zeina.g.khodr.ctr@mail.mil.
Roni T FalkMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. falkr@exchange.nih.gov.
Michael PollakMcGill University, Montreal, Québec, Canada. michael.pollak@mcgill.ca.
Deesha A PatelMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. deesha84@gmail.com.
Maya M PalakalMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. maya.palakal@nih.gov.
Laura LinvilleMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. lmlinville@gmail.com.
Daphne PapathomasMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. dcp448@gmail.com.
Berta GellerUniversity of Vermont, Burlington, VT, USA. berta.geller@uvm.edu.
Pamela M VacekUniversity of Vermont, Burlington, VT, USA. pvacek@zoo.uvm.edu.
Donald L WeaverUniversity of Vermont, Burlington, VT, USA. donald.weaver@uvmhealth.org.
Rachael ChicoineUniversity of Vermont, Burlington, VT, USA. Rachael.Chicoine@uvm.edu.
John ShepherdDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. John.Shepherd@ucsf.edu.
Amir Pasha MahmoudzadehDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. AmirPasha.Mahmoudzadeh@ucsf.edu.
Jeff WangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. jeff.wing.wang.walla.walla@gmail.com.
Bo FanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. BO.FAN@ucsf.edu.
Serghei MalkovDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. Serghei.Malkov@ucsf.edu.
Sally HerschornDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. sally.herschorn@uvmhealth.org.
Stephen M HewittLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. hewitts@mail.nih.gov.
Louise A BrintonOffice of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. brintonl@exchange.nih.gov.
Gretchen L GierachMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm. 7-E108, Bethesda, MD, 20892-9774, USA. gierachg@mail.nih.gov.
National Cancer Institute · USUniversity of California, San Francisco · USUniversity of Vermont · USNational Institutes of Health · USCenter for Cancer Research · USMcGill University · CAUniversity of Edinburgh · GB

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
WEIGHT MAINTENANCE AND PSYCHOLOGICAL BENEFITS OF EXERCISEM01RR000109 · NCRR · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI DUMAS, JULIE A · 1985 to 2010
$24.3M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
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 HHSNCI NIH HHS 1R21CA157254NCI NIH HHS R01 CA166945NCI NIH HHS R21 CA157254NCI NIH HHS U01 CA070013NCI NIH HHS U01CA70013NCRR NIH HHS M01 RR000109
6 · The paper itself

Abstract

backgroundTerminal duct lobular units (TDLUs) are the primary structures from which breast cancers and their precursors arise. Decreased age-related TDLU involution and elevated mammographic density are both correlated and independently associated with increased breast cancer risk, suggesting that these characteristics of breast parenchyma might be linked to a common factor. Given data suggesting that increased circulating levels of insulin-like growth factors (IGFs) factors are related to reduced TDLU involution and increased mammographic density, we assessed these relationships using validated quantitative methods in a cross-sectional study of women with benign breast disease.

methodsSerum IGF-I, IGFBP-3 and IGF-I:IGFBP-3 molar ratios were measured in 228 women, ages 40-64, who underwent diagnostic breast biopsies yielding benign diagnoses at University of Vermont affiliated centers. Biopsies were assessed for three separate measures inversely related to TDLU involution: numbers of TDLUs per unit of tissue area ("TDLU count"), median TDLU diameter ("TDLU span"), and number of acini per TDLU ("acini count"). Regression models, stratified by menopausal status and adjusted for potential confounders, were used to assess the associations of TDLU count, median TDLU span and median acini count per TDLU with tertiles of circulating IGFs. Given that mammographic density is associated with both IGF levels and breast cancer risk, we also stratified these associations by mammographic density.

resultsHigher IGF-I levels among postmenopausal women and an elevated IGF-I:IGFBP-3 ratio among all women were associated with higher TDLU counts, a marker of decreased lobular involution (P-trend = 0.009 and <0.0001, respectively); these associations were strongest among women with elevated mammographic density (P-interaction <0.01). Circulating IGF levels were not significantly associated with TDLU span or acini count per TDLU.

conclusionsThese results suggest that elevated IGF levels may define a sub-group of women with high mammographic density and limited TDLU involution, two markers that have been related to increased breast cancer risk. If confirmed in prospective studies with cancer endpoints, these data may suggest that evaluation of IGF signaling and its downstream effects may have value for risk prediction and suggest strategies for breast cancer chemoprevention through inhibition of the IGF system.

Indexed as

AdultAgedBreastBreast DensityBreast DiseasesBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IMammary Glands, HumanMammographyMiddle AgedRisk FactorsInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor I

Identifiers

PMID26893016
PMCPMC4758090
OpenAlexW2273594874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.