A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
Fig 3
Longitudinal tumor growth dynamics.
A) Time dynamics of the number of newborn cells at the central voxel (surrogate for tumor activity). B) Number of cells at the central voxel: total (dashed red), active (blue) and necrotic (grey). C,D) Tumor volume and MSR during the initial stages, starting from a single cell at the center of the lattice until tumor reaches 1 cm3. E) Dynamics of MSR for 100 simulations. Median run is shown in red. Time span shown starts when tumor reaches 1 cm3 in volume (equivalent to 6.2 mm of MSR) and ends after reaching 100 cm3. F) Example of tumor dynamics of the MSR and rendered 3D tumor shape for three different times (8.5, 10, 11.5 months). Basal rate parameters for simulation in this figure are τrep = 216.5 h, τdeath = 112.7 h, τmut = 200.4 h, . G) Dynamics of tumor volume for 100 simulations. Black lines represent different fits of the median run (solid red line): Exponential (solid), power law with β = 1.2 (dotted), Gompertz (dashed) and radial (dashed-dotted). H) Root-mean-square error (RMSE) of each fit.