Bergman Aviv, Gligorijevic Bojana
Systems and Computational Biology Department, Albert Einstein College of Medicine, 1301 Morris Park Ave, 10461, Bronx, NY, USA.
Bioengineering Department, Temple University, 1947 N 12th st., 19122 Philadelphia, PA, USA; Cancer Biology Program, Fox Chase Cancer Center, Cottman Ave 333, 19111 Philadelphia, PA, USA.
Eur Phys J Plus. 2015 Oct;130(10). doi: 10.1140/epjp/i2015-15203-5. Epub 2015 Sep 14.
Niche construction concept was originally defined in evolutionary biology as the continuous interplay between natural selection via environmental conditions and the modification of these conditions by the organism itself. Processes unraveling during cancer metastasis include construction of niches, which cancer cells use towards more efficient survival, transport into new environments and preparation of the remote sites for their arrival. Many elegant experiments were done lately illustrating, for example, the premetastatic niche construction, but there is practically no mathematical modeling done which would apply the framework. To create models useful for understanding niche construction role in cancer progression, we argue that a) genetic, b) phenotypic and c) ecological levels are to be included. While the model proposed here is phenomenological in its current form, it can be converted into a predictive outcome model via experimental measurement of the model parameters. Here we give an overview of an experimentally formulated problem in cancer metastasis and propose how niche construction framework can be utilized and broadened to model it. Other life science disciplines, such as host-parasite coevolution, may also benefit from niche construction framework adaptation, to satisfy growing need for theoretical considerations of data collected by experimental biology.
生态位构建概念最初在进化生物学中被定义为通过环境条件进行的自然选择与生物体自身对这些条件的改变之间的持续相互作用。在癌症转移过程中揭示的过程包括生态位的构建,癌细胞利用这些生态位实现更高效的存活、转移到新环境以及为其到达远端部位做准备。最近进行了许多精彩的实验,例如说明了转移前生态位的构建,但实际上几乎没有应用该框架的数学建模。为了创建有助于理解生态位构建在癌症进展中作用的模型,我们认为应纳入a)基因、b)表型和c)生态水平。虽然这里提出的模型目前形式是现象学的,但通过对模型参数的实验测量,它可以转化为预测结果模型。在这里,我们概述了癌症转移中一个通过实验提出的问题,并提出如何利用和扩展生态位构建框架对其进行建模。其他生命科学学科,如宿主 - 寄生虫协同进化,也可能受益于生态位构建框架的应用,以满足对实验生物学收集的数据进行理论考量的不断增长的需求。