Lavrenteva Evgeniia, Theodoropoulos Constantinos, Binns Michael
Department of Chemical and Biochemical Engineering, Dongguk University-Seoul, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Republic of Korea.
Department of Chemical Engineering, Biochemical and Bioprocess Engineering Group, University of Manchester, Manchester M13 9PL, UK.
Bioengineering (Basel). 2023 Mar 21;10(3):385. doi: 10.3390/bioengineering10030385.
In this study, we propose a set of nonlinear differential equations to model the dynamic growth of avascular stage tumors, considering nutrient supply from underlying tissue, innate immune response, contact inhibition of cell migration, and interactions with a chemotherapeutic agent. The model has been validated against available experimental data from the literature for tumor growth. We assume that the size of the modeled tumor is already detectable, and it represents all clinically observed existent cell populations; initial conditions are selected accordingly. Numerical results indicate that the tumor size and regression significantly depend on the strength of the host immune system. The effect of chemotherapy is investigated, not only within the malignancy, but also in terms of the responding immune cells and healthy tissue in the vicinity of a tumor.
在本研究中,我们提出了一组非线性微分方程来模拟无血管阶段肿瘤的动态生长,该模型考虑了来自下层组织的营养供应、先天免疫反应、细胞迁移的接触抑制以及与化疗药物的相互作用。该模型已根据文献中现有的肿瘤生长实验数据进行了验证。我们假设所模拟肿瘤的大小已经可以检测到,并且它代表了所有临床观察到的现存细胞群体;相应地选择初始条件。数值结果表明,肿瘤大小和消退显著取决于宿主免疫系统的强度。我们不仅研究了化疗在恶性肿瘤内部的效果,还研究了其对肿瘤附近反应性免疫细胞和健康组织的影响。