From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response
Fig 6
The top fit in-silico tumor to the multiscale experimental data using all 16 metrics.
The top 300 fits to all data (gray) are compared to the best heterogeneous fit and its homogeneous counterpart (with no variation in potential phenotypes, i.e. στ = 0, σv = 0). For each metric, the corresponding spatial maps at 17d are shown below. Measured metrics include A) growth dynamics, B) infected/recruited cells over time, C) mean measured proliferation rate and migration speeds at 10d, the D) mean initial potential proliferation rate and migration speed at 10d, and the E) individual cell speed distributions in terms of mean and standard deviation at 10d. The final graphs in column E compare the 10d distributions of speeds of individual tracked cells to the data. Movies are available at jillagal.github.io/multiscaleGBM.