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A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome

BACKGROUND: Soluble protein and lipid mediators play essential roles in the tumor environment, but their cellular origins, targets, and clinical relevance are only partially known. We have addressed this question for the most abundant cell types in human ovarian carcinoma ascites, namely tumor cells...

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Autores principales: Reinartz, Silke, Finkernagel, Florian, Adhikary, Till, Rohnalter, Verena, Schumann, Tim, Schober, Yvonne, Nockher, W. Andreas, Nist, Andrea, Stiewe, Thorsten, Jansen, Julia M., Wagner, Uwe, Müller-Brüsselbach, Sabine, Müller, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877997/
https://www.ncbi.nlm.nih.gov/pubmed/27215396
http://dx.doi.org/10.1186/s13059-016-0956-6
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author Reinartz, Silke
Finkernagel, Florian
Adhikary, Till
Rohnalter, Verena
Schumann, Tim
Schober, Yvonne
Nockher, W. Andreas
Nist, Andrea
Stiewe, Thorsten
Jansen, Julia M.
Wagner, Uwe
Müller-Brüsselbach, Sabine
Müller, Rolf
author_facet Reinartz, Silke
Finkernagel, Florian
Adhikary, Till
Rohnalter, Verena
Schumann, Tim
Schober, Yvonne
Nockher, W. Andreas
Nist, Andrea
Stiewe, Thorsten
Jansen, Julia M.
Wagner, Uwe
Müller-Brüsselbach, Sabine
Müller, Rolf
author_sort Reinartz, Silke
collection PubMed
description BACKGROUND: Soluble protein and lipid mediators play essential roles in the tumor environment, but their cellular origins, targets, and clinical relevance are only partially known. We have addressed this question for the most abundant cell types in human ovarian carcinoma ascites, namely tumor cells and tumor-associated macrophages. RESULTS: Transcriptome-derived datasets were adjusted for errors caused by contaminating cell types by an algorithm using expression data derived from pure cell types as references. These data were utilized to construct a network of autocrine and paracrine signaling pathways comprising 358 common and 58 patient-specific signaling mediators and their receptors. RNA sequencing based predictions were confirmed for several proteins and lipid mediators. Published expression microarray results for 1018 patients were used to establish clinical correlations for a number of components with distinct cellular origins and target cells. Clear associations with early relapse were found for STAT3-inducing cytokines, specific components of WNT and fibroblast growth factor signaling, ephrin and semaphorin axon guidance molecules, and TGFβ/BMP-triggered pathways. An association with early relapse was also observed for secretory macrophage-derived phospholipase PLA(2)G(7), its product arachidonic acid (AA) and signaling pathways controlled by the AA metabolites PGE(2), PGI(2), and LTB(4). By contrast, the genes encoding norrin and its receptor frizzled 4, both selectively expressed by cancer cells and previously not linked to tumor suppression, show a striking association with a favorable clinical course. CONCLUSIONS: We have established a signaling network operating in the ovarian cancer microenvironment with previously unidentified pathways and have defined clinically relevant components within this network. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0956-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-48779972016-05-25 A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome Reinartz, Silke Finkernagel, Florian Adhikary, Till Rohnalter, Verena Schumann, Tim Schober, Yvonne Nockher, W. Andreas Nist, Andrea Stiewe, Thorsten Jansen, Julia M. Wagner, Uwe Müller-Brüsselbach, Sabine Müller, Rolf Genome Biol Research BACKGROUND: Soluble protein and lipid mediators play essential roles in the tumor environment, but their cellular origins, targets, and clinical relevance are only partially known. We have addressed this question for the most abundant cell types in human ovarian carcinoma ascites, namely tumor cells and tumor-associated macrophages. RESULTS: Transcriptome-derived datasets were adjusted for errors caused by contaminating cell types by an algorithm using expression data derived from pure cell types as references. These data were utilized to construct a network of autocrine and paracrine signaling pathways comprising 358 common and 58 patient-specific signaling mediators and their receptors. RNA sequencing based predictions were confirmed for several proteins and lipid mediators. Published expression microarray results for 1018 patients were used to establish clinical correlations for a number of components with distinct cellular origins and target cells. Clear associations with early relapse were found for STAT3-inducing cytokines, specific components of WNT and fibroblast growth factor signaling, ephrin and semaphorin axon guidance molecules, and TGFβ/BMP-triggered pathways. An association with early relapse was also observed for secretory macrophage-derived phospholipase PLA(2)G(7), its product arachidonic acid (AA) and signaling pathways controlled by the AA metabolites PGE(2), PGI(2), and LTB(4). By contrast, the genes encoding norrin and its receptor frizzled 4, both selectively expressed by cancer cells and previously not linked to tumor suppression, show a striking association with a favorable clinical course. CONCLUSIONS: We have established a signaling network operating in the ovarian cancer microenvironment with previously unidentified pathways and have defined clinically relevant components within this network. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0956-6) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-23 /pmc/articles/PMC4877997/ /pubmed/27215396 http://dx.doi.org/10.1186/s13059-016-0956-6 Text en © Reinartz et al. 2016 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.
spellingShingle Research
Reinartz, Silke
Finkernagel, Florian
Adhikary, Till
Rohnalter, Verena
Schumann, Tim
Schober, Yvonne
Nockher, W. Andreas
Nist, Andrea
Stiewe, Thorsten
Jansen, Julia M.
Wagner, Uwe
Müller-Brüsselbach, Sabine
Müller, Rolf
A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
title A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
title_full A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
title_fullStr A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
title_full_unstemmed A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
title_short A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
title_sort transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877997/
https://www.ncbi.nlm.nih.gov/pubmed/27215396
http://dx.doi.org/10.1186/s13059-016-0956-6
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