Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells

John J. Tyson, William T. Baumann, Chun Chen, Anael Verdugo, Iman Tavassoly, Yue Wang, Louis M. Weiner, Robert Clarke

Research output: Contribution to journalReview articlepeer-review

131 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)523-532
Number of pages10
JournalNature Reviews Cancer
Volume11
Issue number7
DOIs
StatePublished - Jul 2011
Externally publishedYes

Bibliographical note

Funding 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.

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