Literature DB >> 23583284

Prognostic significance in breast cancer of a gene signature capturing stromal PDGF signaling.

Oliver Frings1, Martin Augsten, Nicholas P Tobin, Joseph Carlson, Janna Paulsson, Cristina Pena, Eleonor Olsson, Srinivas Veerla, Jonas Bergh, Arne Ostman, Erik L L Sonnhammer.   

Abstract

In this study, we describe a novel gene expression signature of platelet-derived growth factor (PDGF)-activated fibroblasts, which is able to identify breast cancers with a PDGF-stimulated fibroblast stroma and displays an independent and strong prognostic significance. Global gene expression was compared between PDGF-stimulated human fibroblasts and cultured resting fibroblasts. The most differentially expressed genes were reduced to a gene expression signature of 113 genes. The biological significance and prognostic capacity of this signature were investigated using four independent clinical breast cancer data sets. Concomitant high expression of PDGFβ receptor and its cognate ligands is associated with a high PDGF signature score. This supports the notion that the signature detects tumors with PDGF-activated stroma. Subsequent analyses indicated significant associations between high PDGF signature score and clinical characteristics, including human epidermal growth factor receptor 2 positivity, estrogen receptor negativity, high tumor grade, and large tumor size. A high PDGF signature score is associated with shorter survival in univariate analysis. Furthermore, the high PDGF signature score acts as a significant marker of poor prognosis in multivariate survival analyses, including classic prognostic markers, Ki-67 status, a proliferation gene signature, or other recently described stroma-derived gene expression signatures.
Copyright © 2013 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23583284     DOI: 10.1016/j.ajpath.2013.02.018

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  23 in total

1.  Transitions from mono- to co- to tri-culture uniquely affect gene expression in breast cancer, stromal, and immune compartments.

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2.  Receptor Tyrosine Kinase Expression Predicts Response to Sunitinib in Breast Cancer.

Authors:  Philip M Spanheimer; Allison W Lorenzen; James P De Andrade; Mikhail V Kulak; Jennifer C Carr; George W Woodfield; Sonia L Sugg; Ronald J Weigel
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3.  Fibroblast Subtypes Regulate Responsiveness of Luminal Breast Cancer to Estrogen.

Authors:  Heather M Brechbuhl; Jessica Finlay-Schultz; Tomomi M Yamamoto; Austin E Gillen; Diana M Cittelly; Aik-Choon Tan; Sharon B Sams; Manoj M Pillai; Anthony D Elias; William A Robinson; Carol A Sartorius; Peter Kabos
Journal:  Clin Cancer Res       Date:  2016-10-04       Impact factor: 12.531

4.  Stromal integrin α11 regulates PDGFR-β signaling and promotes breast cancer progression.

Authors:  Irina Primac; Erik Maquoi; Silvia Blacher; Ritva Heljasvaara; Jan Van Deun; Hilde Yh Smeland; Annalisa Canale; Thomas Louis; Linda Stuhr; Nor Eddine Sounni; Didier Cataldo; Taina Pihlajaniemi; Christel Pequeux; Olivier De Wever; Donald Gullberg; Agnès Noel
Journal:  J Clin Invest       Date:  2019-07-09       Impact factor: 14.808

Review 5.  The biology and function of fibroblasts in cancer.

Authors:  Raghu Kalluri
Journal:  Nat Rev Cancer       Date:  2016-08-23       Impact factor: 60.716

6.  Identification of sample-specific regulations using integrative network level analysis.

Authors:  Chengyu Liu; Riku Louhimo; Marko Laakso; Rainer Lehtonen; Sampsa Hautaniemi
Journal:  BMC Cancer       Date:  2015-04-28       Impact factor: 4.430

7.  Confrontation of fibroblasts with cancer cells in vitro: gene network analysis of transcriptome changes and differential capacity to inhibit tumor growth.

Authors:  Andrey Alexeyenko; Twana Alkasalias; Tatiana Pavlova; Laszlo Szekely; Vladimir Kashuba; Helene Rundqvist; Peter Wiklund; Lars Egevad; Peter Csermely; Tamas Korcsmaros; Hayrettin Guven; George Klein
Journal:  J Exp Clin Cancer Res       Date:  2015-06-18

8.  Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

Authors:  Jacob J Kennedy; Susan E Abbatiello; Kyunggon Kim; Ping Yan; Jeffrey R Whiteaker; Chenwei Lin; Jun Seok Kim; Yuzheng Zhang; Xianlong Wang; Richard G Ivey; Lei Zhao; Hophil Min; Youngju Lee; Myeong-Hee Yu; Eun Gyeong Yang; Cheolju Lee; Pei Wang; Henry Rodriguez; Youngsoo Kim; Steven A Carr; Amanda G Paulovich
Journal:  Nat Methods       Date:  2013-12-08       Impact factor: 28.547

9.  Mouse mammary stem cells express prognostic markers for triple-negative breast cancer.

Authors:  Kelly J Soady; Howard Kendrick; Qiong Gao; Andrew Tutt; Marketa Zvelebil; Liliana D Ordonez; Jelmar Quist; David Wei-Min Tan; Clare M Isacke; Anita Grigoriadis; Matthew J Smalley
Journal:  Breast Cancer Res       Date:  2015-03-04       Impact factor: 6.466

10.  TGF-β Negatively Regulates CXCL1 Chemokine Expression in Mammary Fibroblasts through Enhancement of Smad2/3 and Suppression of HGF/c-Met Signaling Mechanisms.

Authors:  Wei Bin Fang; Benford Mafuvadze; Min Yao; An Zou; Mike Portsche; Nikki Cheng
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

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