Adaptive Therapy Snapshots (IMAGE)
Caption
Adaptive therapy aims to leverage competition between drug-sensitive and resistant cells by adjusting treatment to maintain the tumor at a tolerable size while preserving sensitive cells. This approach is being tested in trials but is not yet widely used as deeper understanding of cell-cell competition is required. In our recent paper, we used an agent-based model (written in our lab’s HAL platform) to investigate how strongly, and with whom, resistant cells compete during continuous and adaptive therapy. This artwork combines snapshots from simulations of adaptive therapy under different parameterizations (varying rates of resistance costs and turnover) with a Muller plot (created using our visualization tool EvoFreq) illustrating the average neighborhood composition around a resistant cells.
Credit
Moffitt Cancer Center
Usage Restrictions
N/A
License
Original content