Evidence map›Paper›PMID 21377485›Full record

ArticleSteroids2011

Mechanical phenotype is important for stromal aromatase expression.

Sagar Ghosh, Tao Kang, Howard Wang, Yanfen Hu, Rong Li

Open access · greenAbstract read
In one paragraph

Article in Steroids, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Review
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  6. 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

5 authors at 2 institutions in 1 country.

Sagar GhoshDepartment of Molecular Medicine, Institute of Biotechnology, University of Texas, San Antonio, TX 78245, USA.
Tao Kang
Howard Wang
Yanfen Hu
Rong Li
Biotechnology Institute · USThe University of Texas Health Science Center at San Antonio · US

Funding

BRCA1 IN GENE REGULATION AND TUMOR SUPPRESSIONR01CA093506 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LI, RONG · 2002 to 2010
$2.3M
The Mechanism of BRCA1 in Tumor SuppressionR01CA118578 · NCI · UNIVERSITY OF VIRGINIA · PI HU, YANFEN · 2006 to 2010
$1.1M
NCI NIH HHS CA118578NCI NIH HHS CA93506NCI NIH HHS R01 CA093506NCI NIH HHS R01 CA118578
6 · The paper itself

Abstract

Evidence that aromatase expression in tumor-associated breast stroma is elevated, provides a rationale for use of aromatase inhibitors (AIs) in breast cancer treatment. However, regulation of local aromatase expression in cancer-free breast stroma is poorly understood. Recent clinical work indicates that stromal cells in dense breast tissue tend to express higher levels of aromatase than their counterpart from non-dense tissue. Consistent with the clinical observation, our cell culture-based study indicated that cell density, cell shape, and extracellular matrix (ECM) significantly induced stromal aromatase expression via a distinct signal transduction pathway. In addition, we identified a number of cell surface markers that are commonly associated with aromatase-expressing stromal cells. As mammographic density is one of the strongest and most prevalent risk factors for breast cancer, these findings provide a potential mechanistic link between alterations in tissue composition of dense breast tissue and increased stromal aromatase expression. Further exploration of the in vitro model system may advance understanding of an important problem in breast cancer biology.

Indexed as

AromataseBreastBreast NeoplasmsCell CountCell ShapeExtracellular MatrixFemaleGene Expression RegulationGene Knockdown TechniquesHumansMammographyMembrane ProteinsPhenotypeRNA, Small InterferingSignal TransductionStromal CellsAromataseMembrane ProteinsRNA, Small Interfering

Identifiers

PMID21377485
PMCPMC3114299
OpenAlexW2118389663

What OpenQuestion holds

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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.