Your browser doesn't support javascript.
loading
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.
Afiliação
  • Chifman J; Department of Mathematics and Statistics, American University, Washington, DC, USA.
  • Arat S; The Jackson Laboratory, Bar Harbor, ME, USA.
  • Deng Z; Department of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA.
  • Lemler E; Department of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA.
  • Pino JC; Chemical and Physical Biology Graduate Program, Vanderbilt University, Nashville, TN, USA.
  • Harris LA; Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA.
  • Kochen MA; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
  • Lopez CF; Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA.
  • Akman SA; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
  • Torti FM; Center for Quantitative Science, Vanderbilt University, Nashville, TN, USA.
  • Torti SV; Cancer Program, Roper St Francis HealthCare, Charleston, SC, USA.
  • Laubenbacher R; Department of Medicine, University of Connecticut Health Center, Farmington, CT, USA.
PLoS Comput Biol ; 13(2): e1005352, 2017 02.
Article em En | MEDLINE | ID: mdl-28166223
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 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Transdução de Sinais / Transformação Celular Neoplásica / Células Epiteliais / Ferro / Modelos Biológicos Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Animals / Female / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Transdução de Sinais / Transformação Celular Neoplásica / Células Epiteliais / Ferro / Modelos Biológicos Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Animals / Female / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos