van Leeuwen I M M, Byrne H M, Jensen O E, King J R
Centre for Mathematical Medicine, Division of Applied Mathematics, School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK.
Cell Prolif. 2006 Jun;39(3):157-81. doi: 10.1111/j.1365-2184.2006.00378.x.
Mathematical modelling forms a key component of systems biology, offering insights that complement and stimulate experimental studies. In this review, we illustrate the role of theoretical models in elucidating the mechanisms involved in normal intestinal crypt dynamics and colorectal cancer. We discuss a range of modelling approaches, including models that describe cell proliferation, migration, differentiation, crypt fission, genetic instability, APC inactivation and tumour heterogeneity. We focus on the model assumptions, limitations and applications, rather than on the technical details. We also present a new stochastic model for stem-cell dynamics, which predicts that, on average, APC inactivation occurs more quickly in the stem-cell pool in the absence of symmetric cell division. This suggests that natural niche succession may protect stem cells against malignant transformation in the gut. Finally, we explain how we aim to gain further understanding of the crypt system and of colorectal carcinogenesis with the aid of multiscale models that cover all levels of organization from the molecular to the whole organ.
数学建模是系统生物学的关键组成部分,能提供补充和促进实验研究的见解。在本综述中,我们阐述了理论模型在阐明正常肠道隐窝动态和结直肠癌相关机制中的作用。我们讨论了一系列建模方法,包括描述细胞增殖、迁移、分化、隐窝裂变、基因不稳定、APC失活和肿瘤异质性的模型。我们关注的是模型假设、局限性和应用,而非技术细节。我们还提出了一种新的干细胞动态随机模型,该模型预测,在没有对称细胞分裂的情况下,平均而言,APC失活在干细胞池中发生得更快。这表明自然生态位演替可能保护肠道干细胞免受恶性转化。最后,我们解释了我们如何旨在借助涵盖从分子到整个器官所有组织层次的多尺度模型,进一步了解隐窝系统和结直肠癌发生过程。