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- 2009 Annual Meeting
- Computing and Systems Technology Division
- Modeling and Control of Biomedical Systems II
- (664e) A Control Engineering Approach to Understanding the Paradoxical Roles of TGF-β in Cancer
For a quantitative explanation of the paradoxical clinical correlation between the elevated TGF-β levels and poor prognosis, we have developed a macroscopic mechanistic model of TGF-β driven regulation of cell proliferation and death from a control theory perspective. By identifying the components of the TGF-β-mediated control system and by describing how those components are connected, the model yields quantitative insight into how cell population is regulated through communication between the cells and their surroundings. The model also allows us to predict possible dynamic behavior of the TGF-β-mediated control system in cancer tissues. Simulations of cancerous system dynamics indicate that as pre-malignant cells lose their responsiveness to TGF-β along the spectrum of tumor progression, a still-intact control system must secrete more of this ligand in a futile attempt to achieve the level of tumor suppression attainable with normal, responsive cells. In other words, the observed increased level of TGF-β is a consequence of the acquired TGF-β resistance exhibited by the cancer cells, not the cause (by switching the TGF-β roles from tumor suppressor to tumor promoter). Thus, we suggest that the correlation between increased levels of TGF-β and poor prognosis has been inadvertently misconstrued as causality, creating the apparent paradox. We also propose that the current approach of targeting TGF-β ligand therapeutically may have to be modified in favor of re-sensitizing the cells to the tumor suppressive effect of TGF-β.