论文标题
基于物理的组织模拟器对多细胞系统进行建模：肝脏再生和肝癌复发的研究
Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence
论文作者
论文摘要
我们提出了一个基于多基因的模型，该模型捕获了不同类型的细胞与它们的微环境之间的相互作用，并可以分析组织再生和肿瘤发育过程中新兴的全球行为。使用此模型，我们能够重现常规健康细胞和癌细胞的时间动力学，以及其三维空间分布的演变。通过使用个别患者的特征来调整系统，我们的模型再现了各种组织再生和肿瘤生长的空间模式，类似于临床成像或活检中发现的空间模式。为了校准和验证我们的模型，我们研究了在不同程度的手术肝切除术后肝脏再生的过程。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一致。通过将模型参数拟合到特定的患者因素中，它很可能成为治疗方案中假设测试的有用平台。
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.
