Figure 2 | Scientific Reports

Figure 2

From: Anti-angiogenic drug scheduling optimisation with application to colorectal cancer

Figure 2

Example numerical simulation of computational vascular tumour growth model with continuous chemotherapy function. Parameters are sampled from priors displayed in Table 1. Specifically, parameters values are λ1 = 0.067 day−1, λ2 = 4.15 × 10−5 day−1, c = 0.04 mg/(day·mm3p·kg), α = 9.81 × 10−4 mg/(mm3p·kg), d = 0.47 day−1· mm−2, Bk12 = 0.47 day−1, Bk21 = 0.089 day−1, Bke = 0.79 day−1, Fk12 = 0.0014 day−1, Fk21 = 0.39 day−1, Fke = 0.91 day−1, KF = 0.057 day−1· mm−2, α1 = 1, β1 = 1. (A) Shows how the tumour volume varies over a time period of 45 days. (B) Shows how the corresponding vasculature compartment or carrying capacity varies over the same time period. (C) Shows the bvz and FOLFOX drug concentrations in the plasma for Treatment Schedule 1 (D) shows the bvz and FOLFOX drug concentrations in the plasma for Treatment Schedule 2. Solutions to the ODE system are saved every 0.1 time units. The initial conditions are chosen so that the tumour volume is 1 mm3 and carrying capacity is 10 mm3 at t = 0 days.

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