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Modeling the estrogen receptor to growth factor receptor signaling switch in human breast cancer cells
Authors:Chun Chen  William T. Baumann  Robert Clarke  John J. Tyson
Affiliation:1. Department of Biological Sciences, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA;2. Department of Electrical & Computer Engineering, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA;3. Graduate Program in Genetics, Bioinformatics and Computational Biology, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA;4. Lombardi Comprehensive Cancer Center, Georgetown University School of Medicine, Washington, DC 20057, USA
Abstract:Breast cancer cells develop resistance to endocrine therapies by shifting between estrogen receptor (ER)-regulated and growth factor receptor (GFR)-regulated survival signaling pathways. To study this switch, we propose a mathematical model of crosstalk between these pathways. The model explains why MCF7 sub-clones transfected with HER2 or EGFR show three GFR-distribution patterns, and why the bimodal distribution pattern can be reversibly modulated by estrogen. The model illustrates how transient overexpression of ER activates GFR signaling and promotes estrogen-independent growth. Understanding this survival-signaling switch can help in the design of future therapies to overcome resistance in breast cancer.
Keywords:AKT, a serine/threonine-specific protein kinase, also known as Protein Kinase B (PKB)   CCS, charcoal-stripped fetal-calf serum   CSC, cancer stem cell   E2, 17β-estradiol   E2:ER, E2-bound estrogen receptor   EGFR, epidermal growth factor receptor   ER, estrogen receptor   ER-P, phosphorylated estrogen receptor   FCS, fetal calf serum   GFR, growth factor receptor   HER2, human epidermal growth factor receptor-2   MAPK, mitogen activated protein kinases   mTOR, mammalian target of rapamycin   NFκB, nuclear factor kappa-light-chain-enhancer of activated B cells   PI3K, phosphatidylinositide 3-kinases
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