Viger Louise, Denis Fabrice, Draghi Clément, Ménard Thibault, Letellier Christophe
CORIA UMR 6614 Normandie Université, CNRS Université et INSA de Rouen, Campus Universitaire du Madrillet, F-76800 Saint-Etienne du Rouvray, France.
Centre Jean Bernard, 9 Rue Beauverger, 72000 Le Mans, France.
J Theor Biol. 2017 Mar 7;416:99-112. doi: 10.1016/j.jtbi.2016.12.011. Epub 2016 Dec 23.
Describing tumor growth is a key issue in oncology for correctly understanding the underlying mechanisms leading to deleterious cancers. In order to take into account the micro-environment in tumor growth, we used a model describing - at the tissue level - the interactions between host (non malignant), effector immune and tumor cells to simulate the evolution of cancer. The spatial growth is described by a Laplacian operator for the diffusion of tumor cells. We investigated how the evolution of the tumor diameter is related to the dynamics (periodic or chaotic oscillations, stable singular points) underlying the interactions between the different populations of cells in proliferation sites. The sensitivity of this evolution to the key parameter responsible for the immuno-evasion, namely the growth rate of effector immune cells and their inhibition rate by tumor cells, is also investigated.
描述肿瘤生长是肿瘤学中的一个关键问题,对于正确理解导致恶性癌症的潜在机制至关重要。为了在肿瘤生长过程中考虑微环境,我们使用了一个在组织水平描述宿主(非恶性)、效应免疫细胞和肿瘤细胞之间相互作用的模型来模拟癌症的演变。肿瘤细胞扩散的空间生长由拉普拉斯算子描述。我们研究了肿瘤直径的演变如何与增殖部位不同细胞群体之间相互作用的动力学(周期性或混沌振荡、稳定奇点)相关。还研究了这种演变对负责免疫逃逸的关键参数的敏感性,即效应免疫细胞的生长速率及其被肿瘤细胞的抑制率。