41
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Elevated CXCL1 expression in breast cancer stroma predicts poor prognosis and is inversely associated with expression of TGF-β signaling proteins

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          CXCL1 is a chemotactic cytokine shown to regulate breast cancer progression and chemo-resistance. However, the prognostic significance of CXCL1 expression in breast cancer has not been fully characterized. Fibroblasts are important cellular components of the breast tumor microenvironment, and recent studies indicate that this cell type is a potential source of CXCL1 expression in breast tumors. The goal of this study was to further characterize the expression patterns of CXCL1 in breast cancer stroma, determine the prognostic significance of stromal CXCL1 expression, and identify factors affecting stromal CXCL1 expression.

          Methods

          Stromal CXCL1 protein expression was analyzed in 54 normal and 83 breast carcinomas by immunohistochemistry staining. RNA expression of CXCL1 in breast cancer stroma was analyzed through data mining in http://www.Oncomine.org. The relationships between CXCL1 expression and prognostic factors were analyzed by univariate analysis. Co-immunofluorescence staining for CXCL1, α-Smooth Muscle Actin (α-SMA) and Fibroblast Specific Protein 1 (FSP1) expression was performed to analyze expression of CXCL1 in fibroblasts. By candidate profiling, the TGF-β signaling pathway was identified as a regulator of CXCL1 expression in fibroblasts. Expression of TGF-β and SMAD gene products were analyzed by immunohistochemistry and data mining analysis. The relationships between stromal CXCL1 and TGF-β signaling components were analyzed by univariate analysis. Carcinoma associated fibroblasts isolated from MMTV-PyVmT mammary tumors were treated with recombinant TGF-β and analyzed for CXCL1 promoter activity by luciferase assay, and protein secretion by ELISA.

          Results

          Elevated CXCL1 expression in breast cancer stroma correlated with tumor grade, disease recurrence and decreased patient survival. By co-immunofluorescence staining, CXCL1 expression overlapped with expression of α-SMA and FSP1 proteins. Expression of stromal CXCL1 protein expression inversely correlated with expression of TGF-β signaling components. Treatment of fibroblasts with TGF-β suppressed CXCL1 secretion and promoter activity.

          Conclusions

          Increased CXCL1 expression in breast cancer stroma correlates with poor patient prognosis. Furthermore, CXCL1 expression is localized to α-SMA and FSP1 positive fibroblasts, and is negatively regulated by TGF-β signaling. These studies indicate that decreased TGF-β signaling in carcinoma associated fibroblasts enhances CXCL1 expression in fibroblasts, which could contribute to breast cancer progression.

          Electronic supplementary material

          The online version of this article (doi:10.1186/1471-2407-14-781) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references75

          • Record: found
          • Abstract: found
          • Article: found

          Stromal gene expression predicts clinical outcome in breast cancer.

          Although it is increasingly evident that cancer is influenced by signals emanating from tumor stroma, little is known regarding how changes in stromal gene expression affect epithelial tumor progression. We used laser capture microdissection to compare gene expression profiles of tumor stroma from 53 primary breast tumors and derived signatures strongly associated with clinical outcome. We present a new stroma-derived prognostic predictor (SDPP) that stratifies disease outcome independently of standard clinical prognostic factors and published expression-based predictors. The SDPP predicts outcome in several published whole tumor-derived expression data sets, identifies poor-outcome individuals from multiple clinical subtypes, including lymph node-negative tumors, and shows increased accuracy with respect to previously published predictors, especially for HER2-positive tumors. Prognostic power increases substantially when the predictor is combined with existing outcome predictors. Genes represented in the SDPP reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumor progression.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Identification of fibroblast heterogeneity in the tumor microenvironment.

            Tumors are unorganized organs that contain many different cell types. In the recent years, many studies have reported that primary tumors contain fibroblasts/myofibroblasts (carcinoma-associated fibroblasts), mesenchymal cells such as pericytes/mural cells and other vascular smooth muscle cells. Several different markers are used routinely to identify carcinoma-associated fibroblasts (CAFs) such as alpha-smooth muscle actin (alpha-SMA), vimentin, S100A4 protein/fibroblast specific protein-1 (FSP1) and type I collagen. Likewise markers such as platelet derived growth factor receptor-beta (PDGFRbeta) and NG2 chondroitin sulfate proteoglycan (NG2) are used to identify mesenchymal cells such as pericytes and other vasculature associated smooth muscle cells. It is still unknown whether these markers overlap with each other or identify a unique population of cells within the tumor microenvironment. Therefore in the present study we utilized two different mouse models of cancer, the Rip1Tag2 mice that develop progressive pancreatic cancer and an orthotopic 4T1 breast cancer model, to study the overlap between six different mesenchymal markers commonly used in mouse cancer research. Our study demonstrates that among all the markers, S100A4/FSP1 identifies a unique population of fibroblasts with minimal overlap with markers for alphaSMA, PDGFRbeta and NG2. Vimentin and type I collagen are not specific markers for fibroblasts in these tumors. alphaSMA, PDGFRbeta and NG2 significantly overlap with each other in identifying a mixed population of fibroblasts (activated or resting), myofibroblasts, pericytes and vascular smooth muscle cells. Collectively, this study demonstrates that tumor microenvironment associated fibroblasts are a heterogeneous population and thus, the use of alphaSMA or vimentin as the only markers will not identify all the CAFs.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Targeting tumor-associated fibroblasts improves cancer chemotherapy by increasing intratumoral drug uptake.

              Tumor-associated fibroblasts are key regulators of tumorigenesis. In contrast to tumor cells, which are genetically unstable and mutate frequently, the presence of genetically more stable fibroblasts in the tumor-stromal compartment makes them an optimal target for cancer immunotherapy. These cells are also the primary source of collagen type I, which contributes to decreased chemotherapeutic drug uptake in tumors and plays a significant role in regulating tumor sensitivity to a variety of chemotherapies. To specifically kill tumor-associated fibroblasts, we constructed an oral DNA vaccine targeting fibroblast activation protein (FAP), which is specifically overexpressed by fibroblasts in the tumor stroma. Through CD8+ T cell-mediated killing of tumor-associated fibroblasts, our vaccine successfully suppressed primary tumor cell growth and metastasis of multidrug-resistant murine colon and breast carcinoma. Furthermore, tumor tissue of FAP-vaccinated mice revealed markedly decreased collagen type I expression and up to 70% greater uptake of chemotherapeutic drugs. Most importantly, pFap-vaccinated mice treated with chemotherapy showed a 3-fold prolongation in lifespan and marked suppression of tumor growth, with 50% of the animals completely rejecting a tumor cell challenge. This strategy opens a new venue for the combination of immuno- and chemotherapies.
                Bookmark

                Author and article information

                Contributors
                azou@kumc.edu
                dianalilambert9@gmail.com
                hyeh@kumc.edu
                yasukawa@beloit.edu
                fbehbod@kumc.edu
                ffan@kumc.edu
                ncheng@kumc.edu
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                24 October 2014
                24 October 2014
                2014
                : 14
                : 1
                : 781
                Affiliations
                [ ]Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS 66160 USA
                [ ]Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160 USA
                [ ]Department of Biology, Beloit College, Beloit, WI 53511 USA
                Article
                4963
                10.1186/1471-2407-14-781
                4221705
                25344051
                38273064-ed8e-4fd5-861c-f0f0fd911137
                © Zou et al.; licensee BioMed Central Ltd. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
                : 13 February 2014
                : 14 October 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Oncology & Radiotherapy
                cxcl1,chemokine,stroma,fibroblast,breast cancer,tgf-beta,smad2,smad3,prognosis
                Oncology & Radiotherapy
                cxcl1, chemokine, stroma, fibroblast, breast cancer, tgf-beta, smad2, smad3, prognosis

                Comments

                Comment on this article