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Tumor Biology |
Department of Chemical Engineering [B. S. H., D. L.], Biological Engineering Division [D. L.], and Center for Cancer Research [D. L.], Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, and Environmental and Health Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352 [L. K. O., H. S. W.]
Elevated expression of human epidermal growth factor receptor 2 (HER2) is known to alter cellsignaling and behavioral responses implicated in tumor progression. However, multiple diverse mechanisms may be involved in these overall effects, including signaling by HER2 itself, modulation of signaling by epidermal growth factor receptor (EGFR), and modification of trafficking dynamics for both EGFR and HER2. Because these processes are so tightly interrelated, the net effect of HER2 overexpression is difficult to reliably attribute to any single particular mechanism. To take an important first step toward dissecting the effects of HER2 overexpression on cell responses in terms of the various specific underlying mechanisms, we have developed and validated a quantitative model of the relevant trafficking processes. We then use our model for successful prediction of EGFR and HER2 level and location changes attributable to HER2 overexpression in 184A1 human mammary epithelial cells expressing a series of HER2 levels by retroviral infection. Model predictions are based on our independent experimental measurement of key trafficking parameters for both EGFR and HER2. In terms of trafficking processes, HER2 overexpression reduces the EGFR internalization rate constant and increases the fraction of EGFR recycled. Consequently, our model successfully predicts that HER2 increases the overall level of activated EGFR by both enhancing its recycling and reducing its internalization, but it increases activated EGFR localization at the cell surface almost solely by its reduction of internalization. Furthermore, the model also successfully predicts the effects of monoclonal antibody 2C4, which interferes with HER2/EGFR heterodimerization, on EGFR and HER2 levels and compartmental locations. We anticipate that this model should ultimately be useful in parsing the relative contributions of direct effects of HER2 via signaling vis-a-vis indirect effects of HER2 via modification of EGFR signaling.
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