共 35 条
RETRACTED: The Evolution and Ecology of Resistance in Cancer Therapy (Retracted Article)
被引:86
作者:

Gatenby, Robert
论文数: 0 引用数: 0
h-index: 0
机构:
H Lee Moffitt Canc Ctr & Res Inst, Canc Biol & Evolut Program, Tampa, FL 33612 USA H Lee Moffitt Canc Ctr & Res Inst, Canc Biol & Evolut Program, Tampa, FL 33612 USA

Brown, Joel
论文数: 0 引用数: 0
h-index: 0
机构:
H Lee Moffitt Canc Ctr & Res Inst, Canc Biol & Evolut Program, Tampa, FL 33612 USA H Lee Moffitt Canc Ctr & Res Inst, Canc Biol & Evolut Program, Tampa, FL 33612 USA
机构:
[1] H Lee Moffitt Canc Ctr & Res Inst, Canc Biol & Evolut Program, Tampa, FL 33612 USA
来源:
COLD SPRING HARBOR PERSPECTIVES IN MEDICINE
|
2018年
/
8卷
/
03期
基金:
美国国家卫生研究院;
关键词:
HETEROGENEITY;
CHEMOTHERAPY;
STRATEGIES;
SELECTION;
DYNAMICS;
CELLS;
D O I:
10.1101/cshperspect.a033415
中图分类号:
R-3 [医学研究方法];
R3 [基础医学];
学科分类号:
1001 ;
摘要:
Despite continuous deployment of new treatment strategies and agents over many decades, most disseminated cancers remain fatal. Cancer cells, through their access to the vast information of human genome, have a remarkable capacity to deploy adaptive strategies for even the most effective treatments. We note there are two critical steps in the clinical manifestation of treatment resistance. The first, which is widely investigated, requires deployment of a mechanism of resistance that usually involves increased expression of molecular machinery necessary to eliminate the cytotoxic effect of treatment. However, the emergence of a resistant phenotype is not in itself clinically significant. That is, resistant cells affect patient outcomes only when they form a sufficiently large population to allow tumor progression and treatment failure. Importantly, proliferation of the resistant phenotype is by no means certain and, in fact, depends on complex Darwinian dynamics governed by the costs and benefits of the resistance mechanisms in the context of the local environment and competing populations. Attempts to target molecular machinery of resistance have had little clinical success largely because of the diversity within the human genome-therapeutic interruption of one mechanism simply results in its replacement by an alternative. We explore an alternative strategy for overcoming treatment resistance that seeks to understand and exploit the critical evolutionary dynamics that govern proliferation of the resistant phenotypes. In general, this approach has shown that, although emergence of resistance mechanisms in cancer cells to every current therapy is inevitable, proliferation of the resistant phenotypes is not and can be delayed and even prevented with sufficient understanding of the underlying ecoevolutionary dynamics.
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