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Cancer Ecology and Evolution: Positive Interactions and System Vulnerability

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Date 2020 Apr 23
PMID 32318644
Citations 10
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Abstract

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.

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References
1.
Ujvari B, Gatenby R, Thomas F . The evolutionary ecology of transmissible cancers. Infect Genet Evol. 2016; 39:293-303. DOI: 10.1016/j.meegid.2016.02.005. View

2.
Marusyk A, Tabassum D, Altrock P, Almendro V, Michor F, Polyak K . Non-cell-autonomous driving of tumour growth supports sub-clonal heterogeneity. Nature. 2014; 514(7520):54-8. PMC: 4184961. DOI: 10.1038/nature13556. View

3.
Robertson-Tessi M, Anderson A . Big Bang and context-driven collapse. Nat Genet. 2015; 47(3):196-7. DOI: 10.1038/ng.3231. View

4.
Wikman H, Vessella R, Pantel K . Cancer micrometastasis and tumour dormancy. APMIS. 2008; 116(7-8):754-70. DOI: 10.1111/j.1600-0463.2008.01033.x. View

5.
Maley C, Galipeau P, Finley J, Wongsurawat V, Li X, Sanchez C . Genetic clonal diversity predicts progression to esophageal adenocarcinoma. Nat Genet. 2006; 38(4):468-73. DOI: 10.1038/ng1768. View