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Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis

BACKGROUND: 25% of breast cancer patients suffer from aggressive HER2-positive tumours that are characterised by overexpression of the HER2 protein or by its increased tyrosine kinase activity. Herceptin is a major drug used to treat HER2 positive breast cancer. Understanding the molecular events th...

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Autores principales: Buiga, Petronela, Elson, Ari, Tabernero, Lydia, Schwartz, Jean-Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907139/
https://www.ncbi.nlm.nih.gov/pubmed/29671404
http://dx.doi.org/10.1186/s12918-018-0534-5
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author Buiga, Petronela
Elson, Ari
Tabernero, Lydia
Schwartz, Jean-Marc
author_facet Buiga, Petronela
Elson, Ari
Tabernero, Lydia
Schwartz, Jean-Marc
author_sort Buiga, Petronela
collection PubMed
description BACKGROUND: 25% of breast cancer patients suffer from aggressive HER2-positive tumours that are characterised by overexpression of the HER2 protein or by its increased tyrosine kinase activity. Herceptin is a major drug used to treat HER2 positive breast cancer. Understanding the molecular events that occur when breast cancer cells are exposed to Herceptin is therefore of significant importance. Dual specificity phosphatases (DUSPs) are central regulators of cell signalling that function downstream of HER2, but their role in the cellular response to Herceptin is mostly unknown. This study aims to model the initial effects of Herceptin exposure on DUSPs in HER2-positive breast cancer cells using Boolean modelling. RESULTS: We experimentally measured expression time courses of 21 different DUSPs between 0 and 24 h following Herceptin treatment of human MDA-MB-453 HER2-positive breast cancer cells. We clustered these time courses into patterns of similar dynamics over time. In parallel, we built a series of Boolean models representing the known regulatory mechanisms of DUSPs and then demonstrated that the dynamics predicted by the models is in agreement with the experimental data. Furthermore, we used the models to predict regulatory mechanisms of DUSPs, where these mechanisms were partially known. CONCLUSIONS: Boolean modelling is a powerful technique to investigate and understand signalling pathways. We obtained an understanding of different regulatory pathways in breast cancer and new insights on how these signalling pathways are activated. This method can be generalized to other drugs and longer time courses to better understand how resistance to drugs develops in cancer cells over time. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-018-0534-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-59071392018-04-30 Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis Buiga, Petronela Elson, Ari Tabernero, Lydia Schwartz, Jean-Marc BMC Syst Biol Research BACKGROUND: 25% of breast cancer patients suffer from aggressive HER2-positive tumours that are characterised by overexpression of the HER2 protein or by its increased tyrosine kinase activity. Herceptin is a major drug used to treat HER2 positive breast cancer. Understanding the molecular events that occur when breast cancer cells are exposed to Herceptin is therefore of significant importance. Dual specificity phosphatases (DUSPs) are central regulators of cell signalling that function downstream of HER2, but their role in the cellular response to Herceptin is mostly unknown. This study aims to model the initial effects of Herceptin exposure on DUSPs in HER2-positive breast cancer cells using Boolean modelling. RESULTS: We experimentally measured expression time courses of 21 different DUSPs between 0 and 24 h following Herceptin treatment of human MDA-MB-453 HER2-positive breast cancer cells. We clustered these time courses into patterns of similar dynamics over time. In parallel, we built a series of Boolean models representing the known regulatory mechanisms of DUSPs and then demonstrated that the dynamics predicted by the models is in agreement with the experimental data. Furthermore, we used the models to predict regulatory mechanisms of DUSPs, where these mechanisms were partially known. CONCLUSIONS: Boolean modelling is a powerful technique to investigate and understand signalling pathways. We obtained an understanding of different regulatory pathways in breast cancer and new insights on how these signalling pathways are activated. This method can be generalized to other drugs and longer time courses to better understand how resistance to drugs develops in cancer cells over time. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-018-0534-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-11 /pmc/articles/PMC5907139/ /pubmed/29671404 http://dx.doi.org/10.1186/s12918-018-0534-5 Text en © The Author(s). 2018 Open Access This 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
Buiga, Petronela
Elson, Ari
Tabernero, Lydia
Schwartz, Jean-Marc
Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis
title Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis
title_full Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis
title_fullStr Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis
title_full_unstemmed Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis
title_short Regulation of dual specificity phosphatases in breast cancer during initial treatment with Herceptin: a Boolean model analysis
title_sort regulation of dual specificity phosphatases in breast cancer during initial treatment with herceptin: a boolean model analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907139/
https://www.ncbi.nlm.nih.gov/pubmed/29671404
http://dx.doi.org/10.1186/s12918-018-0534-5
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