Evidence map›Paper›PMID 23918601›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2013

Relationship of mammographic density and gene expression: analysis of normal breast tissue surrounding breast cancer.

Xuezheng Sun, Gretchen L Gierach, Rupninder Sandhu, Tyisha Williams, Bentley R Midkiff, Jolanta Lissowska, Ewa Wesolowska, Norman F Boyd, Nicole B Johnson, Jonine D Figueroa and 2 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 60 citations in OpenAlex.

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  20. Stroma modifies relationships between risk factor exposure and age-related epithelial involution in benign breast.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018
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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

12 authors at 6 institutions in 3 countries.

Xuezheng Sun *Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gretchen L Gierach *Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Rupninder SandhuLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Tyisha WilliamsDepartment of Biology, Trinity University, San Antonio, TX, USA.
Bentley R MidkiffLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jolanta LissowskaMaria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
Ewa WesolowskaMaria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
Norman F BoydCampbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Toronto, ON, Canada.
Nicole B JohnsonDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jonine D FigueroaHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Mark E ShermanHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Melissa A TroesterDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Trinity University · USThe Maria Sklodowska-Curie National Research Institute of Oncology · PLUniversity of North Carolina at Chapel Hill · USHarvard University · USNational Cancer Institute · USOntario Institute for Cancer Research · CA

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Conserved Biology of Tumor and Microenvironment in Breast Cancer ProgressionR01CA138255 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, TROESTER, MELISSA A. · 2008 to 2012
$2.4M
Pregnancy, Obesogenic Environments, and Basal-like Breast CancerU01ES019472 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROESTER, MELISSA A. · 2010 to 2014
$2.3M
NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA138255NIEHS NIH HHS U01 ES019472
6 · The paper itself

Abstract

purposePrevious studies of breast tissue gene expression have shown that the extratumoral microenvironment has substantial variability across individuals, some of which can be attributed to epidemiologic factors. To evaluate how mammographic density and breast tissue composition relate to extratumoral microenvironment gene expression, we used data on 121 patients with breast cancer from the population-based Polish Women's Breast Cancer Study. EXPERIMENTAL

designBreast cancer cases were classified on the basis of a previously reported, biologically defined extratumoral gene expression signature with two subtypes: an Active subtype, which is associated with high expression of genes related to fibrosis and wound response, and an Inactive subtype, which has high expression of cellular adhesion genes. Mammographic density of the contralateral breast was assessed using pretreatment mammograms and a quantitative, reliable computer-assisted thresholding method. Breast tissue composition was evaluated on the basis of digital image analysis of tissue sections.

resultsThe Inactive extratumoral subtype was associated with significantly higher percentage mammographic density (PD) and dense area (DA) in univariate analysis (PD: P = 0.001; DA: P = 0.049) and in multivariable analyses adjusted for age and body mass index (PD: P = 0.004; DA: P = 0.049). Inactive/higher mammographic density tissue was characterized by a significantly higher percentage of stroma and a significantly lower percentage of adipose tissue, with no significant change in epithelial content. Analysis of published gene expression signatures suggested that Inactive/higher mammographic density tissue expressed increased estrogen response and decreased TGF-β signaling.

conclusionsBy linking novel molecular phenotypes with mammographic density, our results indicate that mammographic density reflects broad transcriptional changes, including changes in both epithelia- and stroma-derived signaling.

Indexed as

Gene Expression ProfilingAdultAgedBiomarkers, TumorBreastBreast DensityBreast NeoplasmsFemaleHumansMammary Glands, HumanMammographyMiddle AgedNeoplasm StagingOligonucleotide Array Sequence AnalysisPrognosisReal-Time Polymerase Chain ReactionBiomarkers, TumorRNA, Messenger

Identifiers

PMID23918601
PMCPMC4073678
OpenAlexW2124885699

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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.