Theoretical Modeling Techniques and Their Impact on Tumor Immunology
Figure 5
Differential equations model validation with experimental data of chronic myelogenous leukemia treatment with imatinib [44]. (a), (b), and (c) show data from different patients along with simulated results using individual parameters for each of the patients. Simulated cell concentrations are compared to measurements of T-cell numbers from [53] (cell numbers are scaled down by 2500 to show relative magnitudes). Simulated curves are shown as lines and experimental data as black squares; the horizontal dashed line indicates the approximate level of complete cytogenetic remission. ‘‘No immune response’’ corresponds to the predicted tumor cell number using a model that does not include the immune response [54], ‘‘Leukemia’’ corresponds to the results of another model that takes the immune response into account [44]. The ‘‘T cells’’ curve is obtained with the model by Kim et al. and is compared to experimentally observed T-cell numbers from different patients [53].
