Evidence map›Paper›PMID 28103936›Full record

ArticleBreast cancer research : BCR2017

Elevated collagen-I augments tumor progressive signals, intravasation and metastasis of prolactin-induced estrogen receptor alpha positive mammary tumor cells.

Craig E Barcus, Kathleen A O'Leary, Jennifer L Brockman, Debra E Rugowski, Yuming Liu, Nancy Garcia, Menggang Yu, Patricia J Keely, Kevin W Eliceiri, Linda A Schuler

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

83 citing papers in PubMed, 143 citations in OpenAlex.

  1. Review
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  4. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
    Review
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23 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 1 country.

Craig E BarcusCellular and Molecular Biology Program, University of Wisconsin-Madison, Madison, WI, USA.
Kathleen A O'LearyDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Jennifer L BrockmanDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Debra E RugowskiDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Yuming LiuLaboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, USA.
Nancy GarciaDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Menggang YuDepartment of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Patricia J KeelyCellular and Molecular Biology Program, University of Wisconsin-Madison, Madison, WI, USA.
Kevin W EliceiriLaboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, USA.
Linda A SchulerCellular and Molecular Biology Program, University of Wisconsin-Madison, Madison, WI, USA. linda.schuler@wisc.edu.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
Matrix density promotes pro-tumorigenic hormone actions in breast cancerR01CA179556 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PONIK, SUZANNE MARIE, SCHULER, LINDA A. · 2014 to 2024
$4.9M
Prolactin: mammary progenitors and tumor initiating cells in luminal carcinomasR01CA157675 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SCHULER, LINDA A. · 2011 to 2015
$1.5M
High collagen density favors pro-tumorigenic prolactin actions in breast cancerF31CA177047 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BARCUS, CRAIG · 2013 to 2015
$88k
NCI NIH HHS F31 CA177047NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA157675NCI NIH HHS R01 CA179556
6 · The paper itself

Abstract

backgroundThe development and progression of estrogen receptor alpha positive (ERα+) breast cancer has been linked epidemiologically to prolactin. However, activation of the canonical mediator of prolactin, STAT5, is associated with more differentiated cancers and better prognoses. We have reported that density/stiffness of the extracellular matrix potently modulates the repertoire of prolactin signals in human ERα + breast cancer cells in vitro: stiff matrices shift the balance from the Janus kinase (JAK)2/STAT5 cascade toward pro-tumor progressive extracellular regulated kinase (ERK)1/2 signals, driving invasion. However, the consequences for behavior of ERα + cancers in vivo are not known.

methodsIn order to investigate the importance of matrix density/stiffness in progression of ERα + cancers, we examined tumor development and progression following orthotopic transplantation of two clonal green fluorescent protein (GFP) + ERα + tumor cell lines derived from prolactin-induced tumors to 8-week-old wild-type FVB/N (WT) or collagen-dense (col1a1

resultsERα + primary tumors did not differ in growth rate, histologic type, ERα, or prolactin receptor (PRLR) expression between col1a1

conclusionsA collagen-dense extracellular matrix can potently interact with hormonal signals to drive metastasis of ERα + breast cancers.

Indexed as

Signal TransductionAnimalsBiomarkersBreast NeoplasmsCell Line, TumorCell ProliferationCollagen Type IDisease ProgressionEstrogen Receptor alphaExtracellular MatrixFemaleImmunohistochemistryMAP Kinase Signaling SystemMiceMice, TransgenicNeoplasm MetastasisBiomarkersCollagen Type IEstrogen Receptor alphaProlactinProto-Oncogene Proteins c-aktSTAT5 Transcription FactorBreast cancerCollagenDesmoplasiaExtracellular matrixProlactinTumor microenvironmentTumor progression

Identifiers

PMID28103936
PMCPMC5244528
OpenAlexW2578132773

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.