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Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells
Authors:Tyson John J  Baumann William T  Chen Chun  Verdugo Anael  Tavassoly Iman  Wang Yue  Weiner Louis M  Clarke Robert
Affiliation:Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA. tyson@vt.edu
Abstract:
Cancers of the breast and other tissues arise from aberrant decision-making by cells regarding their survival or death, proliferation or quiescence, damage repair or bypass. These decisions are made by molecular signalling networks that process information from outside and from within the breast cancer cell and initiate responses that determine the cell's survival and reproduction. Because the molecular logic of these circuits is difficult to comprehend by intuitive reasoning alone, we present some preliminary mathematical models of the basic decision circuits in breast cancer cells that may aid our understanding of their susceptibility or resistance to endocrine therapy.
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