Adler Frederick R, Gordon Deborah M
School of Biological Sciences, University of Utah, 257 South 1400 East, Salt Lake City, UT 84112.
Department of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, UT 84112.
Curr Opin Syst Biol. 2019 Oct;17:1-7. doi: 10.1016/j.coisb.2019.09.001. Epub 2019 Sep 11.
Parallels of cancer with ecology and evolution have provided new insights into the initiation and spread of cancer, and new approaches to therapy. This review describes those parallels while emphasizing some key contrasts. We argue that cancers are less like invasive species than like native species or even crops that have escaped control, and that ecological control and homeo-static control differ fundamentally through both their ends and their means. From our focus on the role of positive interactions in control processes, we introduce a novel mathematical modeling framework that tracks how individual cell lineages arise, and how the many layers of control break down in the emergence of cancer. The next generation of therapies must continue to look beyond cancers as being created by individual renegade cells and address not only the network of interactions those cells inhabit, but the evolutionary logic that created those interactions and their intrinsic vulnerability.
癌症与生态学和进化之间的相似之处为癌症的发生和扩散提供了新的见解,以及新的治疗方法。本综述描述了这些相似之处,同时强调了一些关键的差异。我们认为,癌症与其说像入侵物种,不如说更像本地物种,甚至是失控的作物,而且生态控制和稳态控制在目的和手段上都存在根本差异。基于我们对正向相互作用在控制过程中作用的关注,我们引入了一个新颖的数学建模框架,该框架可以追踪个体细胞谱系是如何产生的,以及在癌症出现过程中多层控制是如何瓦解的。下一代治疗方法必须继续超越将癌症视为由单个叛逆细胞产生的观念,不仅要解决这些细胞所处的相互作用网络,还要解决产生这些相互作用及其内在脆弱性的进化逻辑。