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Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective

Dysregulation of iron metabolism in cancer is well documented and it has been suggested that there is interdependence between excess iron and increased cancer incidence and progression. In an effort to better understand the linkages between iron metabolism and breast cancer, a predictive mathematica...

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Autores principales: Chifman, Julia, Arat, Seda, Deng, Zhiyong, Lemler, Erica, Pino, James C., Harris, Leonard A., Kochen, Michael A., Lopez, Carlos F., Akman, Steven A., Torti, Frank M., Torti, Suzy V., Laubenbacher, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293201/
https://www.ncbi.nlm.nih.gov/pubmed/28166223
http://dx.doi.org/10.1371/journal.pcbi.1005352
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author Chifman, Julia
Arat, Seda
Deng, Zhiyong
Lemler, Erica
Pino, James C.
Harris, Leonard A.
Kochen, Michael A.
Lopez, Carlos F.
Akman, Steven A.
Torti, Frank M.
Torti, Suzy V.
Laubenbacher, Reinhard
author_facet Chifman, Julia
Arat, Seda
Deng, Zhiyong
Lemler, Erica
Pino, James C.
Harris, Leonard A.
Kochen, Michael A.
Lopez, Carlos F.
Akman, Steven A.
Torti, Frank M.
Torti, Suzy V.
Laubenbacher, Reinhard
author_sort Chifman, Julia
collection PubMed
description Dysregulation of iron metabolism in cancer is well documented and it has been suggested that there is interdependence between excess iron and increased cancer incidence and progression. In an effort to better understand the linkages between iron metabolism and breast cancer, a predictive mathematical model of an expanded iron homeostasis pathway was constructed that includes species involved in iron utilization, oxidative stress response and oncogenic pathways. The model leads to three predictions. The first is that overexpression of iron regulatory protein 2 (IRP2) recapitulates many aspects of the alterations in free iron and iron-related proteins in cancer cells without affecting the oxidative stress response or the oncogenic pathways included in the model. This prediction was validated by experimentation. The second prediction is that iron-related proteins are dramatically affected by mitochondrial ferritin overexpression. This prediction was validated by results in the pertinent literature not used for model construction. The third prediction is that oncogenic Ras pathways contribute to altered iron homeostasis in cancer cells. This prediction was validated by a combination of simulation experiments of Ras overexpression and catalase knockout in conjunction with the literature. The model successfully captures key aspects of iron metabolism in breast cancer cells and provides a framework upon which more detailed models can be built.
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spelling pubmed-52932012017-02-17 Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective Chifman, Julia Arat, Seda Deng, Zhiyong Lemler, Erica Pino, James C. Harris, Leonard A. Kochen, Michael A. Lopez, Carlos F. Akman, Steven A. Torti, Frank M. Torti, Suzy V. Laubenbacher, Reinhard PLoS Comput Biol Research Article Dysregulation of iron metabolism in cancer is well documented and it has been suggested that there is interdependence between excess iron and increased cancer incidence and progression. In an effort to better understand the linkages between iron metabolism and breast cancer, a predictive mathematical model of an expanded iron homeostasis pathway was constructed that includes species involved in iron utilization, oxidative stress response and oncogenic pathways. The model leads to three predictions. The first is that overexpression of iron regulatory protein 2 (IRP2) recapitulates many aspects of the alterations in free iron and iron-related proteins in cancer cells without affecting the oxidative stress response or the oncogenic pathways included in the model. This prediction was validated by experimentation. The second prediction is that iron-related proteins are dramatically affected by mitochondrial ferritin overexpression. This prediction was validated by results in the pertinent literature not used for model construction. The third prediction is that oncogenic Ras pathways contribute to altered iron homeostasis in cancer cells. This prediction was validated by a combination of simulation experiments of Ras overexpression and catalase knockout in conjunction with the literature. The model successfully captures key aspects of iron metabolism in breast cancer cells and provides a framework upon which more detailed models can be built. Public Library of Science 2017-02-06 /pmc/articles/PMC5293201/ /pubmed/28166223 http://dx.doi.org/10.1371/journal.pcbi.1005352 Text en © 2017 Chifman et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chifman, Julia
Arat, Seda
Deng, Zhiyong
Lemler, Erica
Pino, James C.
Harris, Leonard A.
Kochen, Michael A.
Lopez, Carlos F.
Akman, Steven A.
Torti, Frank M.
Torti, Suzy V.
Laubenbacher, Reinhard
Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective
title Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective
title_full Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective
title_fullStr Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective
title_full_unstemmed Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective
title_short Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective
title_sort activated oncogenic pathway modifies iron network in breast epithelial cells: a dynamic modeling perspective
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293201/
https://www.ncbi.nlm.nih.gov/pubmed/28166223
http://dx.doi.org/10.1371/journal.pcbi.1005352
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