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

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          Abstract

          Background

          The 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.

          Methods

          In 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 (c ol1a1 tm1Jae/+ ) female mice. The latter express a mutant non-cleavable allele of collagen 1a1 “knocked-in” to the col1a1 gene locus, permitting COL1A1 accumulation. We evaluated the effect of the collagen environment on tumor progression by examining circulating tumor cells and lung metastases, activated signaling pathways by immunohistochemistry analysis and immunoblotting, and collagen structure by second harmonic generation microscopy.

          Results

          ERα + primary tumors did not differ in growth rate, histologic type, ERα, or prolactin receptor (PRLR) expression between col1a1 tm1Jae/+ and WT recipients. However, the col1a1 tm1Jae/+ environment significantly increased circulating tumor cells and the number and size of lung metastases at end stage. Tumors in col1a1 tm1Jae/+ recipients displayed reduced STAT5 activation, and higher phosphorylation of ERK1/2 and AKT. Moreover, intratumoral collagen fibers in col1a1 tm1Jae/+ recipients were aligned with tumor projections into the adjacent fat pad, perpendicular to the bulk of the tumor, in contrast to the collagen fibers wrapped around the more uniformly expansive tumors in WT recipients.

          Conclusions

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

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13058-017-0801-1) contains supplementary material, which is available to authorized users.

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          Most cited references52

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Tensional homeostasis and the malignant phenotype.

            Tumors are stiffer than normal tissue, and tumors have altered integrins. Because integrins are mechanotransducers that regulate cell fate, we asked whether tissue stiffness could promote malignant behavior by modulating integrins. We found that tumors are rigid because they have a stiff stroma and elevated Rho-dependent cytoskeletal tension that drives focal adhesions, disrupts adherens junctions, perturbs tissue polarity, enhances growth, and hinders lumen formation. Matrix stiffness perturbs epithelial morphogenesis by clustering integrins to enhance ERK activation and increase ROCK-generated contractility and focal adhesions. Contractile, EGF-transformed epithelia with elevated ERK and Rho activity could be phenotypically reverted to tissues lacking focal adhesions if Rho-generated contractility or ERK activity was decreased. Thus, ERK and Rho constitute part of an integrated mechanoregulatory circuit linking matrix stiffness to cytoskeletal tension through integrins to regulate tissue phenotype.
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              Breast cancer metastasis: markers and models.

              Breast cancer starts as a local disease, but it can metastasize to the lymph nodes and distant organs. At primary diagnosis, prognostic markers are used to assess whether the transition to systemic disease is likely to have occurred. The prevailing model of metastasis reflects this view--it suggests that metastatic capacity is a late, acquired event in tumorigenesis. Others have proposed the idea that breast cancer is intrinsically a systemic disease. New molecular technologies, such as DNA microarrays, support the idea that metastatic capacity might be an inherent feature of breast tumours. These data have important implications for prognosis prediction and our understanding of metastasis.
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                Author and article information

                Contributors
                craig.barcus@wisc.edu
                kathy.oleary@wisc.edu
                jbrockman@uwalumni.com
                debra.rugowski@wisc.edu
                liu372@wisc.edu
                nancygarcia1@hotmail.com
                meyu@biostat.wisc.edu
                patricia.keely@wisc.edu
                eliceiri@wisc.edu
                linda.schuler@wisc.edu
                Journal
                Breast Cancer Res
                Breast Cancer Res
                Breast Cancer Research : BCR
                BioMed Central (London )
                1465-5411
                1465-542X
                19 January 2017
                19 January 2017
                2017
                : 19
                : 9
                Affiliations
                [1 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Cellular and Molecular Biology Program, , University of Wisconsin–Madison, ; Madison, WI USA
                [2 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Comparative Biosciences, , University of Wisconsin–Madison, ; Madison, WI USA
                [3 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Cell and Regenerative Biology, , University of Wisconsin–Madison, ; Madison, WI USA
                [4 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Biostatistics & Medical Informatics, , University of Wisconsin–Madison, ; Madison, WI USA
                [5 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Laboratory for Optical and Computational Instrumentation, , University of Wisconsin–Madison, ; Madison, WI USA
                [6 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, , University of Wisconsin Paul P. Carbone Comprehensive Cancer Center, University of Wisconsin–Madison, ; Wisconsin, USA
                Article
                801
                10.1186/s13058-017-0801-1
                5244528
                28103936
                bee5fa76-fd1c-4adf-aaa3-8ffe7364572d
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 June 2016
                : 24 December 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: R01 CA157675
                Award ID: R01 CA179556
                Funded by: FundRef http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: P30 CA014520
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Oncology & Radiotherapy
                tumor microenvironment,collagen,desmoplasia,breast cancer,extracellular matrix,tumor progression,prolactin

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