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HERO ID
7355443
Reference Type
Journal Article
Subtype
Review
Title
Integrating evolutionary dynamics into cancer therapy
Author(s)
Gatenby, RA; Brown, JS
Year
2020
Is Peer Reviewed?
1
Journal
Nature Reviews. Clinical Oncology
ISSN:
1759-4774
EISSN:
1759-4782
Volume
17
Issue
11
Page Numbers
675-686
Language
English
PMID
32699310
DOI
10.1038/s41571-020-0411-1
Web of Science Id
WOS:000551360100001
Abstract
Many effective drugs for metastatic and/or advanced-stage cancers have been developed over the past decade, although the evolution of resistance remains the major barrier to disease control or cure. In large, diverse populations such as the cells that compose metastatic cancers, the emergence of cells that are resistant or that can quickly develop resistance is virtually inevitable and most likely cannot be prevented. However, clinically significant resistance occurs only when the pre-existing resistant phenotypes are able to proliferate extensively, a process governed by eco-evolutionary dynamics. Attempts to disrupt the molecular mechanisms of resistance have generally been unsuccessful in clinical practice. In this Review, we focus on the Darwinian processes driving the eco-evolutionary dynamics of treatment-resistant cancer populations. We describe a variety of evolutionarily informed strategies designed to increase the probability of disease control or cure by anticipating and steering the evolutionary dynamics of acquired resistance.
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