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激活的致癌途径改变乳腺上皮细胞中的铁网络:动态建模视角

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

作者信息

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

机构信息

Department of Mathematics and Statistics, American University, Washington, DC, USA.

The Jackson Laboratory, Bar Harbor, ME, USA.

出版信息

PLoS Comput Biol. 2017 Feb 6;13(2):e1005352. doi: 10.1371/journal.pcbi.1005352. eCollection 2017 Feb.

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.

摘要

癌症中铁代谢失调已有充分记录,并且有人提出过量铁与癌症发病率增加及进展之间存在相互依存关系。为了更好地理解铁代谢与乳腺癌之间的联系,构建了一个扩展铁稳态途径的预测数学模型,该模型包括参与铁利用、氧化应激反应和致癌途径的物质。该模型得出了三个预测。第一个预测是铁调节蛋白2(IRP2)的过表达概括了癌细胞中游离铁和铁相关蛋白改变的许多方面,而不影响氧化应激反应或模型中包含的致癌途径。这一预测通过实验得到了验证。第二个预测是铁相关蛋白受到线粒体铁蛋白过表达的显著影响。这一预测通过未用于模型构建的相关文献中的结果得到了验证。第三个预测是致癌Ras途径导致癌细胞中铁稳态改变。这一预测通过Ras过表达和过氧化氢酶敲除的模拟实验结合文献得到了验证。该模型成功捕捉了乳腺癌细胞中铁代谢的关键方面,并提供了一个可在此基础上构建更详细模型的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c836/5293201/dc6daeaf0587/pcbi.1005352.g001.jpg

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