Long term responses of in-silico tumors to an anti-proliferative drug.

The drug was applied continuously at 14d until 42d. A) From the growth dynamics, tumors are categorized into 4 outcomes given the final diameter at the end of treatment. We compare the same top 300 fits from Fig 4 and 4 example tumors (including the same 3 tumors from Fig 4) averaged over 10 runs. B-C) Imaging metrics and phenotypes for different outcomes. B) Top: Tumor rim size (d_r distance from tumor core to 1% cellular density) vs. tumor core diameter (d_c average diameter of at least 50% density) prior to treatment. Bottom: The change in d_r vs. the change in d_c before and after treatment. C) Top: Standard deviation in measured proliferation rate (σ) vs. average measured proliferation rate (p) prior to treatment. Bottom: The change in σ vs. the change in p before and after treatment. D) Top: Potential σ vs. potential p prior to treatment. Bottom: Change in potential σ vs. change in potential p before and after treatment. E) The spatial distributions for the recurrent tumors before and after treatment shown as densities and measured/potential phenotype combinations. Phenotypes are colored according to their combination of proliferation (P) and migration (M) rates according to the color key. Movies are available at jillagal.github.io/multiscaleGBM.