Research Article
In Vivo Imaging-Based Mathematical Modeling Techniques That Enhance the Understanding of Oncogene Addiction in relation to Tumor Growth
Table 1
Model parameters and values governing the response to oncogene inactivation.
| Parameter | Estimated value (day−1) | Description |
| | 0.1 | Transition coefficient from the “MYC off” state to proliferating | | 0.02 | Transition coefficient between “MYC off” state and differentiation state | | 2 | Transition coefficient between “MYC off” and apoptosis state | | 0.001 | Transition coefficient between “MYC off” state and Oncogene inactivation induced senescence state | | 0/3 × 10−8 | Transition coefficient between “MYC off” state and escaped state (immunocompetent/immunodeficient) | | 0.1 | Transition coefficient between differentiated state and “MYC on” state | | 0.5 | Transition coefficient from the escaped state to proliferating | | 0.05 | Transition coefficient between “MYC on” and apoptosis state | | 0.5 | Transition coefficient from the “MYC on” state to proliferating | | 0.01 | Transition coefficient between escaped state and apoptosis state | | 0.05/0.002/0.01 | Transition coefficient between differentiated state and apoptosis state (tumor dependent: lymphoma, osteosarcoma, and hepatocellular carcinoma) | | 0/2 | Transition from “MYC on” to “MYC off” (depending on if MYC is on/off) | | 2/0 | Transition from “MYC off” to “MYC on” (depending on if MYC is on/off) |
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