基于物理的组织模拟器模拟多细胞系统：肝再生和肝细胞癌复发的研究
Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence
摘要：
我们提出了一个基于多智能体的模型，该模型捕获了不同类型细胞与其微环境之间的相互作用，并能够分析组织再生和肿瘤发展过程中出现的全局行为。使用这个模型，我们能够再现正常健康细胞和癌细胞的时间动态，以及它们的三维空间分布的演变。通过根据个体患者的特征调整系统，我们的模型再现了组织再生和肿瘤生长的各种空间模式，类似于临床成像或活检中发现的那些。为了校正和验证我们的模型，我们研究了不同程度的肝切除术后肝再生的过程。在临床背景下，我们的模型能够预测70%部分肝切除术后肝细胞癌的复发。我们的模拟结果与实验和临床观察结果一致。通过将模型参数拟合到特定的患者因素，它很可能成为治疗方案中假设检验的有用平台。
英文摘要：
We present a multiagent-based model that captures the interactions between different types of cells with their microenvironment, and enables the analysis of the emergent global behavior during tissue regeneration and tumor development. Using this model, we are able to reproduce the temporal dynamics of regular healthy cells and cancer cells, as well as the evolution of their three-dimensional spatial distributions. By tuning the system with the characteristics of the individual patients, our model reproduces a variety of spatial patterns of tissue regeneration and tumor growth, resembling those found in clinical imaging or biopsies. In order to calibrate and validate our model we study the process of liver regeneration after surgical hepatectomy in different degrees. In the clinical context, our model is able to predict the recurrence of a hepatocellular carcinoma after a 70% partial hepatectomy. The outcomes of our simulations are in agreement with experimental and clinical observations. By fitting the model parameters to specific patient factors, it might well become a useful platform for hypotheses testing in treatments protocols.
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