Non-Local Effects and Surface-Bound Reactions in Cancer Invasion Model Development, Analysis and Numerical Simulation

癌症侵袭模型开发、分析和数值模拟中的非局部效应和表面结合反应

• 批准号: 252760446
• 负责人: Dr. Pia Domschke
• 金额: --
• 依托单位: University of Dundee
• 依托单位国家: 德国
• 项目类别: Research Fellowships
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 无数据
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/252760446?language=en
• 关键词: Non; Local; Effects; Surface; Bound

The ability to invade tissue and form metastases (secondary tumours) is what makes cancer so dangerous. Key biological processes occurring during invasion are the secretion of matrix degrading enzymes, cell proliferation, the loss of cell-cell adhesion on one hand and enhanced cell-matrix adhesion on the other hand as well as active migration. A better understanding of the effect that biochemical (intracellular) and cellular processes have on tissue scale rearrangement of cells and matrix may help to develop treatment strategies. Hence, the modelling and numerical simulation of cancer cell invasion is of great interest and is the subject of ongoing research.In this project, we focus on two key aspects in the modelling of cancer invasion: cell-cell and cell-matrix adhesion (tissue-level modelling) and surface-bound reactions involved in cancer invasion.The modelling will be done on the tissue scale, which allows for an efficient simulation. The model will be analyzed regarding positivity, Turing-type instabilities and the influence of parameters, which are not well-characterized by experiments, on the model output. We will develop a simulation framework to test these models against the original model. Finally, these results will be transferred to a model of lymphangiogenesis in tumors.

侵袭组织和形成转移（继发性肿瘤）的能力是癌症如此危险的原因。在入侵期间发生的关键生物过程是基质降解酶的分泌、细胞增殖、一方面细胞-细胞粘附的丧失和另一方面增强的细胞-基质粘附以及主动迁移。更好地理解生物化学（细胞内）和细胞过程对细胞和基质的组织规模重排的影响可能有助于制定治疗策略。因此，肿瘤细胞侵袭的建模和数值模拟是非常有意义的，也是正在进行的研究的主题。在这个项目中，我们专注于肿瘤侵袭建模的两个关键方面：细胞-细胞和细胞-基质粘附（组织水平建模）和肿瘤侵袭中涉及的表面结合反应。建模将在组织尺度上进行，这允许有效的模拟。该模型将分析的积极性，图灵型不稳定性和参数的影响，这是没有很好的特点，通过实验，对模型的输出。我们将开发一个模拟框架，以测试这些模型对原始模型。最后，这些结果将被转移到肿瘤中的淋巴管生成模型。