Cargando…

Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes

Epithelial-to-mesenchymal transition (EMT) is a developmental process hijacked by cancer cells to leave the primary tumor site, invade surrounding tissue and establish distant metastases. A hallmark of EMT is the loss of E-cadherin expression, and one major signal for the induction of EMT is transfo...

Descripción completa

Detalles Bibliográficos
Autores principales: Steinway, Steven Nathaniel, Zañudo, Jorge Gomez Tejeda, Michel, Paul J, Feith, David J, Loughran, Thomas P, Albert, Reka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516807/
https://www.ncbi.nlm.nih.gov/pubmed/28725463
http://dx.doi.org/10.1038/npjsba.2015.14
_version_ 1783251228449308672
author Steinway, Steven Nathaniel
Zañudo, Jorge Gomez Tejeda
Michel, Paul J
Feith, David J
Loughran, Thomas P
Albert, Reka
author_facet Steinway, Steven Nathaniel
Zañudo, Jorge Gomez Tejeda
Michel, Paul J
Feith, David J
Loughran, Thomas P
Albert, Reka
author_sort Steinway, Steven Nathaniel
collection PubMed
description Epithelial-to-mesenchymal transition (EMT) is a developmental process hijacked by cancer cells to leave the primary tumor site, invade surrounding tissue and establish distant metastases. A hallmark of EMT is the loss of E-cadherin expression, and one major signal for the induction of EMT is transforming growth factor beta (TGFβ), which is dysregulated in up to 40% of hepatocellular carcinoma (HCC). We aim to identify network perturbations that suppress TGFβ-driven EMT, with the goal of suppressing invasive properties of cancer cells. We use a systems-level Boolean dynamic model of EMT to systematically screen individual and combination perturbations (inhibition or constitutive activation of up to four nodes). We use a recently developed network control approach to understand the mechanism through which the combinatorial interventions suppress EMT. We test the results of our in silico analysis using siRNA. Our model predicts that targeting key elements of feedback loops in combination with the SMAD complex is more effective than suppressing the SMAD complex alone. We demonstrate experimentally that expression of a majority of these elements is enriched in mesenchymal relative to epithelial phenotype HCC cell lines. An siRNA screen of the predicted combinations confirms that many targeting strategies suppress TGFβ-driven EMT measured by E-cadherin expression and cell migration. Our analysis reveals that some perturbations give rise to hybrid states intermediate to the epithelial and mesenchymal states. Our results indicate that EMT is driven by an interconnected signaling network and many apparently successful single interventions may lead to steady states that are in-between epithelial and mesenchymal states. As these putative hybrid or partial EMT states may retain invasive properties, our results suggest that combinatorial therapies are necessary to fully suppress invasive properties of tumor cells.
format Online
Article
Text
id pubmed-5516807
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-55168072017-07-19 Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes Steinway, Steven Nathaniel Zañudo, Jorge Gomez Tejeda Michel, Paul J Feith, David J Loughran, Thomas P Albert, Reka NPJ Syst Biol Appl Article Epithelial-to-mesenchymal transition (EMT) is a developmental process hijacked by cancer cells to leave the primary tumor site, invade surrounding tissue and establish distant metastases. A hallmark of EMT is the loss of E-cadherin expression, and one major signal for the induction of EMT is transforming growth factor beta (TGFβ), which is dysregulated in up to 40% of hepatocellular carcinoma (HCC). We aim to identify network perturbations that suppress TGFβ-driven EMT, with the goal of suppressing invasive properties of cancer cells. We use a systems-level Boolean dynamic model of EMT to systematically screen individual and combination perturbations (inhibition or constitutive activation of up to four nodes). We use a recently developed network control approach to understand the mechanism through which the combinatorial interventions suppress EMT. We test the results of our in silico analysis using siRNA. Our model predicts that targeting key elements of feedback loops in combination with the SMAD complex is more effective than suppressing the SMAD complex alone. We demonstrate experimentally that expression of a majority of these elements is enriched in mesenchymal relative to epithelial phenotype HCC cell lines. An siRNA screen of the predicted combinations confirms that many targeting strategies suppress TGFβ-driven EMT measured by E-cadherin expression and cell migration. Our analysis reveals that some perturbations give rise to hybrid states intermediate to the epithelial and mesenchymal states. Our results indicate that EMT is driven by an interconnected signaling network and many apparently successful single interventions may lead to steady states that are in-between epithelial and mesenchymal states. As these putative hybrid or partial EMT states may retain invasive properties, our results suggest that combinatorial therapies are necessary to fully suppress invasive properties of tumor cells. Nature Publishing Group 2015-11-26 /pmc/articles/PMC5516807/ /pubmed/28725463 http://dx.doi.org/10.1038/npjsba.2015.14 Text en Copyright © 2015 The Systems Biology Institute/Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Steinway, Steven Nathaniel
Zañudo, Jorge Gomez Tejeda
Michel, Paul J
Feith, David J
Loughran, Thomas P
Albert, Reka
Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
title Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
title_full Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
title_fullStr Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
title_full_unstemmed Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
title_short Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
title_sort combinatorial interventions inhibit tgfβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516807/
https://www.ncbi.nlm.nih.gov/pubmed/28725463
http://dx.doi.org/10.1038/npjsba.2015.14
work_keys_str_mv AT steinwaystevennathaniel combinatorialinterventionsinhibittgfbdrivenepithelialtomesenchymaltransitionandsupporthybridcellularphenotypes
AT zanudojorgegomeztejeda combinatorialinterventionsinhibittgfbdrivenepithelialtomesenchymaltransitionandsupporthybridcellularphenotypes
AT michelpaulj combinatorialinterventionsinhibittgfbdrivenepithelialtomesenchymaltransitionandsupporthybridcellularphenotypes
AT feithdavidj combinatorialinterventionsinhibittgfbdrivenepithelialtomesenchymaltransitionandsupporthybridcellularphenotypes
AT loughranthomasp combinatorialinterventionsinhibittgfbdrivenepithelialtomesenchymaltransitionandsupporthybridcellularphenotypes
AT albertreka combinatorialinterventionsinhibittgfbdrivenepithelialtomesenchymaltransitionandsupporthybridcellularphenotypes