2017
DOI: 10.1371/journal.pcbi.1005352
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Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective

Abstract: 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 i… Show more

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Cited by 25 publications
(36 citation statements)
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“…Identifying the attractors of a system is an important step towards system control. For example, a steady state might represent a cellular phenotype characterized by low expression of an iron exporter [3], a particularly deleterious phenotype in several cancers [46].…”
Section: Discrete Dynamical Systemsmentioning
confidence: 99%
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“…Identifying the attractors of a system is an important step towards system control. For example, a steady state might represent a cellular phenotype characterized by low expression of an iron exporter [3], a particularly deleterious phenotype in several cancers [46].…”
Section: Discrete Dynamical Systemsmentioning
confidence: 99%
“…For example, the steady states in [37], discussed in more detail below, correspond to proliferative, apoptotic, or growth-arrest phenotypes of a cancer cell. In [3], the steady states of the model correspond to the observed altered iron metabolism phenotypes in a breast epithelial cell with and without a certain RAS mutation. We present here a method to systematically identify modifications to a model that can change the attractor landscape in prescribed ways.…”
mentioning
confidence: 99%
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