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.
Bibliographical noteFunding Information:
This work was supported in part by US National Institutes of Health grants U54-CA149147 (to R.C.) and R01-GM078989 (to J.J.T. and W.B.), by US National Science Foundation grants DMS-0342283 (to J.J.T. and P. Brazhnik) and DBI-0904340 (to A.V.), and by fellowships to C.C. and I.T. provided by the Virginia Polytechnic Institute and State University graduate program in Genetics, Bioinformatics and Computational Biology.