Ojwang' Awino Maureiq E, Bazargan Sarah, Johnson Joseph O, Pilon-Thomas Shari, Rejniak Katarzyna A
Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
bioRxiv. 2024 Mar 10:2024.03.05.583363. doi: 10.1101/2024.03.05.583363.
A hybrid off-lattice agent-based model has been developed to reconstruct the tumor tissue oxygenation landscape based on histology images and simulated interactions between vasculature and cells with microenvironment metabolites. Here, we performed a robustness sensitivity analysis of that model's physical and computational parameters. We found that changes in the domain boundary conditions, the initial conditions, and the Michaelis constant are negligible and, thus, do not affect the model outputs. The model is also not sensitive to small perturbations of the vascular influx or the maximum consumption rate of oxygen. However, the model is sensitive to large perturbations of these parameters and changes in the tissue boundary condition, emphasizing an imperative aim to measure these parameters experimentally.
已经开发了一种基于混合非晶格代理的模型，用于根据组织学图像以及脉管系统与细胞之间与微环境代谢物的模拟相互作用来重建肿瘤组织氧合景观。在此，我们对该模型的物理和计算参数进行了稳健性敏感性分析。我们发现，域边界条件、初始条件和米氏常数的变化可以忽略不计，因此不会影响模型输出。该模型对血管流入或氧气最大消耗率的小扰动也不敏感。然而，该模型对这些参数的大扰动和组织边界条件的变化敏感，这强调了通过实验测量这些参数的迫切目标。
