Literature DB >> 25238572

Proteome profiling of breast cancer biopsies reveals a wound healing signature of cancer-associated fibroblasts.

Michael Groessl1, Astrid Slany, Andrea Bileck, Kerstin Gloessmann, Dominique Kreutz, Walter Jaeger, Georg Pfeiler, Christopher Gerner.   

Abstract

Breast cancer is still the most common type of cancer in women; an important role in carcinogenesis is actually attributed to cancer-associated fibroblasts. In this study, we investigated whether it is possible to assess the functional state of cancer-associated fibroblasts through tumor tissue proteome profiling. Tissue proteomics was performed on tumor-central, tumor-near, and tumor-distant biopsy sections from breast adenocarcinoma patients, which allowed us to identify 2074 proteins. Data were interpreted referring to reference proteome profiles generated from primary human mammary fibroblasts comprising 4095 proteins. These cells were analyzed in quiescent cell state as well as after in vitro treatment with TGFβ or IL-1β, stimulating wound healing or inflammatory processes, respectively. Representative for cancer cells, we investigated the mammary carcinoma cell line ZR-75-1, identifying 5212 proteins. All mass analysis data have been made fully accessible via ProteomeXchange, DOI PXD001311 and PXD001323-8. Comparison of tissue proteomics data with all of those reference profiles revealed predominance of cancer cell-derived proteins within the tumor and fibroblast-derived proteins in the tumor-distant tissue sections. Remarkably, proteins characteristic for acute inflammation were hardly identified in the tissue samples. In contrast, several proteins found by us to be induced by TGFβ in mammary fibroblasts, including fibulin-5, SLC2A1, and MUC18, were positively identified in all tissue samples, with relatively higher abundance in tumor neighboring tissue sections. These findings indicate a predominance of cancer-associated fibroblasts with wound healing activities localized around tumors.

Entities:  

Keywords:  breast cancer; cancer-associated fibroblasts; comparative proteome profiling; label-free quantification; primary human cells; tissue proteomics

Mesh:

Substances:

Year:  2014        PMID: 25238572     DOI: 10.1021/pr500727h

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

1.  Metabolic, Anti-apoptotic and Immune Evasion Strategies of Primary Human Myeloma Cells Indicate Adaptations to Hypoxia.

Authors:  Lukas Janker; Rupert L Mayer; Andrea Bileck; Dominique Kreutz; Johanna C Mader; Kirsten Utpatel; Daniel Heudobler; Hermine Agis; Christopher Gerner; Astrid Slany
Journal:  Mol Cell Proteomics       Date:  2019-02-21       Impact factor: 5.911

2.  Contribution of Human Fibroblasts and Endothelial Cells to the Hallmarks of Inflammation as Determined by Proteome Profiling.

Authors:  Astrid Slany; Andrea Bileck; Dominique Kreutz; Rupert L Mayer; Besnik Muqaku; Christopher Gerner
Journal:  Mol Cell Proteomics       Date:  2016-03-29       Impact factor: 5.911

3.  Proteomics and metabolomics identify molecular mechanisms of aging potentially predisposing for chronic lymphocytic leukemia.

Authors:  Rupert L Mayer; Josef D Schwarzmeier; Marlene C Gerner; Andrea Bileck; Johanna C Mader; Samuel M Meier-Menches; Samuel M Gerner; Klaus G Schmetterer; Tobias Pukrop; Albrecht Reichle; Astrid Slany; Christopher Gerner
Journal:  Mol Cell Proteomics       Date:  2017-12-01       Impact factor: 5.911

4.  A meta-analysis to evaluate the cellular processes regulated by the interactome of endogenous and over-expressed estrogen receptor alpha.

Authors:  Rui Vitorino; Luisa A Helguero; Joana Simões; Francisco M Amado
Journal:  Oncoscience       Date:  2015-03-07

Review 5.  Cancer Associated Fibroblasts: The Architects of Stroma Remodeling.

Authors:  Alice Santi; Fernanda G Kugeratski; Sara Zanivan
Journal:  Proteomics       Date:  2018-02-01       Impact factor: 3.984

6.  Quantitative proteomic profiling of primary cancer-associated fibroblasts in oesophageal adenocarcinoma.

Authors:  Antigoni Manousopoulou; Annette Hayden; Massimiliano Mellone; Diana J Garay-Baquero; Cory H White; Fergus Noble; Monette Lopez; Gareth J Thomas; Timothy J Underwood; Spiros D Garbis
Journal:  Br J Cancer       Date:  2018-03-29       Impact factor: 7.640

7.  Proteomic profiling identifies markers for inflammation-related tumor-fibroblast interaction.

Authors:  Daniel Drev; Andrea Bileck; Christopher Gerner; Brigitte Marian; Zeynep N Erdem; Thomas Mohr; Gerald Timelthaler; Andrea Beer
Journal:  Clin Proteomics       Date:  2017-10-06       Impact factor: 3.988

8.  Integration of Serum Protein Biomarker and Tumor Associated Autoantibody Expression Data Increases the Ability of a Blood-Based Proteomic Assay to Identify Breast Cancer.

Authors:  Meredith C Henderson; Alan B Hollingsworth; Kelly Gordon; Michael Silver; Rao Mulpuri; Elias Letsios; David E Reese
Journal:  PLoS One       Date:  2016-08-10       Impact factor: 3.240

9.  Stromal Myofibroblasts Are Associated with Poor Prognosis in Solid Cancers: A Meta-Analysis of Published Studies.

Authors:  Liu Liu; Lin Liu; Han Hui Yao; Zhi Qiang Zhu; Zhong Liang Ning; Qiang Huang
Journal:  PLoS One       Date:  2016-07-26       Impact factor: 3.240

10.  Mobile phone specific electromagnetic fields induce transient DNA damage and nucleotide excision repair in serum-deprived human glioblastoma cells.

Authors:  Halh Al-Serori; Franziska Ferk; Michael Kundi; Andrea Bileck; Christopher Gerner; Miroslav Mišík; Armen Nersesyan; Monika Waldherr; Manuel Murbach; Tamara T Lah; Christel Herold-Mende; Andrew R Collins; Siegfried Knasmüller
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

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