A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies
A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies
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DOI：
10.1186/1742-4682-3-7
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发表时间：
2006-01-01
影响因子：
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通讯作者：
Schnell, Santiago
中科院分区：
文献类型：
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作者：
Ribba, Benjamin;Colin, Thierry;Schnell, Santiago
背景：放射治疗结果通常使用线性二次模型来预测。然而，该模型没有整合肿瘤生长的复杂特征，特别是细胞周期调控。方法：在本文中，我们基于结直肠癌进化的遗传和分子特征提出了一种癌症生长的多尺度模型。该模型包括关键基因、细胞动力学、组织动力学、宏观肿瘤进化和细胞周期阶段的放射敏感性依赖性。我们研究了基因依赖性细胞周期调节在肿瘤对治疗性放射治疗方案的反应中的作用。结果：模拟结果强调了肿瘤组织特征的重要性，以及在预测和提高放射治疗效果时考虑缺氧等调节因素以及肿瘤几何形状和组织动力学的必要性。结论：该模型提供了对复杂生物过程耦合的深入了解， 有助于更好地了解肿瘤发生。这有望改善放射治疗。
Background: Radiotherapy outcomes are usually predicted using the Linear Quadratic model. However, this model does not integrate complex features of tumor growth, in particular cell cycle regulation.Methods: In this paper, we propose a multiscale model of cancer growth based on the genetic and molecular features of the evolution of colorectal cancer. The model includes key genes, cellular kinetics, tissue dynamics, macroscopic tumor evolution and radiosensitivity dependence on the cell cycle phase. We investigate the role of gene-dependent cell cycle regulation in the response of tumors to therapeutic irradiation protocols.Results: Simulation results emphasize the importance of tumor tissue features and the need to consider regulating factors such as hypoxia, as well as tumor geometry and tissue dynamics, in predicting and improving radiotherapeutic efficacy.Conclusion: This model provides insight into the coupling of complex biological processes, which leads to a better understanding of oncogenesis. This will hopefully lead to improved irradiation therapy.