| Abstract: |
| In this presentation, based on mathematical models incorporating tumor growth, delays in CAR-T cell proliferation, and the development of resistance mechanisms, we analyze treatment scenarios inspired by clinical trials targeting IL13Ralpha2, HER2, and EGFRvIII, as described in Migliorini et al. (2018). We focus on evaluating the effectiveness of different therapeutic protocols, including variations in dosing strategies and treatment scheduling. This approach allows us to compare how distinct treatment designs influence tumor dynamics and to identify which strategies lead to the most favorable outcomes. In addition, we perform sensitivity analysis to determine the key parameters that govern treatment success. This enables us to assess the relative importance of biological processes such as CAR-T expansion, tumor growth rate, and resistance development. The results provide deeper insights into the mechanisms underlying therapy efficacy and point to key factors that may limit or enhance the response to CAR-T cell treatment of glioblastoma multiforme. |
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