Multi-scale simulations for optimizing cancer treatment

The dataset comprises the output of several simulations of a model of tumor growth with different parameter values (10.1101/2021.12.17.473136). The model is a multi-scale agent-based model of a tumor spheroid that is treated with periodic pulses of the cytokine tumor necrosis factor (TNF). The multi-scale model simulates processes including i) the diffusion, uptake, and secretion of molecular entities such as oxygen, or TNF; ii) the mechanical interaction between cells; and iii) cellular processes including cell life cycle, cell death models, signal transduction.

The multi-scale model was implemented and simulated using the PhysiBoSS framework (Letort et al. 2019). The dataset corresponds to 425 different simulations launched and automatically tagged as Interesting/Non-Interesting based on the effect of the parameters on the simulation (see README file). Each simulation was tagged by them with the following parameters (in that order):

oxygen_necrotic, oxygen_critical

oxygen_no_proliferation

oxygen_reference

initial_uptake_rate

protein_threshold

secretion_rate

oxygen_concentration

tnf_concentration

Details on how these files are built can be found in the Biological Use Case output format file (https://zenodo.org/record/3921049).