Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Semin Cancer Biol. 2015 Feb;30:60-9. doi: 10.1016/j.semcancer.2014.03.003. Epub 2014 Mar 18.
Cancer has become known as a complex and systematic disease on macroscopic, mesoscopic and microscopic scales. Systems biology employs state-of-the-art computational theories and high-throughput experimental data to model and simulate complex biological procedures such as cancer, which involves genetic and epigenetic, in addition to intracellular and extracellular complex interaction networks. In this paper, different systems biology modeling techniques such as systems of differential equations, stochastic methods, Boolean networks, Petri nets, cellular automata methods and agent-based systems are concisely discussed. We have compared the mentioned formalisms and tried to address the span of applicability they can bear on emerging cancer modeling and simulation approaches. Different scales of cancer modeling, namely, microscopic, mesoscopic and macroscopic scales are explained followed by an illustration of angiogenesis in microscopic scale of the cancer modeling. Then, the modeling of cancer cell proliferation and survival are examined on a microscopic scale and the modeling of multiscale tumor growth is explained along with its advantages.
癌症在宏观、介观和微观尺度上已被公认为一种复杂的系统性疾病。系统生物学采用最先进的计算理论和高通量实验数据来对癌症等复杂的生物过程进行建模和模拟，这些过程涉及遗传和表观遗传，以及细胞内和细胞外的复杂相互作用网络。本文简要讨论了不同的系统生物学建模技术，如微分方程系统、随机方法、布尔网络、Petri 网、元胞自动机方法和基于主体的系统。我们比较了所提到的形式主义，并试图解决它们在新兴癌症建模和模拟方法中所能承受的适用范围。然后，解释了癌症建模的不同尺度，即微观、介观和宏观尺度，并通过癌症建模的微观尺度上的血管生成来说明。接下来，在微观尺度上检查了癌细胞增殖和存活的建模，并解释了多尺度肿瘤生长的建模及其优点。
