气候变化领域集成服务门户(CCPortal): A theoretical analysis of tumour containment

CCPortal

DOI	10.1038/s41559-021-01428-w
	A theoretical analysis of tumour containment
	Viossat Y.; Noble R.
发表日期	2021
ISSN	2397-334X
起始页码	826
结束页码	835
卷号	5 期号:6
英文摘要	Recent studies have shown that a strategy aiming for containment, not elimination, can control tumour burden more effectively in vitro, in mouse models and in the clinic. These outcomes are consistent with the hypothesis that emergence of resistance to cancer therapy may be prevented or delayed by exploiting competitive ecological interactions between drug-sensitive and drug-resistant tumour cell subpopulations. However, although various mathematical and computational models have been proposed to explain the superiority of particular containment strategies, this evolutionary approach to cancer therapy lacks a rigorous theoretical foundation. Here we combine extensive mathematical analysis and numerical simulations to establish general conditions under which a containment strategy is expected to control tumour burden more effectively than applying the maximum tolerated dose. We show that containment may substantially outperform more aggressive treatment strategies even if resistance incurs no cellular fitness cost. We further provide formulas for predicting the clinical benefits attributable to containment strategies in a wide range of scenarios and compare the outcomes of theoretically optimal treatments with those of more practical protocols. Our results strengthen the rationale for clinical trials of evolutionarily informed cancer therapy, while also clarifying conditions under which containment might fail to outperform standard of care. ? 2021, The Author(s), under exclusive licence to Springer Nature Limited.
语种	英语
scopus关键词	animal; evolution; mouse; neoplasm; Animals; Biological Evolution; Mice; Neoplasms
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256943
作者单位	Ceremade, Université Paris-Dauphine, Université Paris Sciences et Lettres, Paris, France; Department of Mathematics, City, University of London, London, United Kingdom; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
推荐引用方式 GB/T 7714	Viossat Y.,Noble R.. A theoretical analysis of tumour containment[J],2021,5(6).
APA	Viossat Y.,&Noble R..(2021).A theoretical analysis of tumour containment.Nature Ecology & Evolution,5(6).
MLA	Viossat Y.,et al."A theoretical analysis of tumour containment".Nature Ecology & Evolution 5.6(2021).