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Published on: February 6, 2015
The Evolution and Ecology of Resistance in Cancer Therapy
Robert A Gatenby1,2, Joel S Brown1
1Cancer Biology and Evolution Program.
Abstract:
Despite the 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 the 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 molecular machinery necessary to eliminate the cytotoxic effect of the treatment. However, the emergence of a resistant phenotype is not in itself clinically significant. That is, resistant cells affect patient outcomes only when they succeed in the second step of resistance by proliferating into 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 the 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. Here we explore evolutionarily informed strategies (adaptive, double-bind, and extinction therapies) for overcoming treatment resistance that seek to understand and exploit the critical evolutionary dynamics that govern proliferation of the resistant phenotypes. In general, this approach has demonstrated that, while 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 eco-evolutionary dynamics.
Insights
Cancer cells develop resistance to treatments, but their proliferation is not inevitable. Evolutionarily informed therapies can exploit cancer
Area of Science:
- Evolutionary biology
- Cancer research
- Mathematical oncology
Background:
- Disseminated cancers remain a leading cause of death despite advances in treatment.
- Cancer cells exhibit remarkable adaptive strategies, leading to treatment resistance.
- Treatment resistance involves two steps: emergence of resistance and proliferation of resistant cells.
Purpose of the Study:
- To explore evolutionarily informed strategies for overcoming cancer treatment resistance.
- To understand and exploit the evolutionary dynamics governing the proliferation of resistant cancer phenotypes.
Main Methods:
- Exploration of adaptive, double-bind, and extinction therapies.
- Analysis of eco-evolutionary dynamics governing resistant cell proliferation.
- Leveraging Darwinian principles to understand resistance costs and benefits.
Main Results:
- Emergence of cancer resistance mechanisms to therapies is inevitable.
- Proliferation of resistant cancer phenotypes is not guaranteed and can be influenced.
- Targeting molecular resistance machinery has limited success due to genomic diversity.
Conclusions:
- Understanding eco-evolutionary dynamics is key to controlling resistant cancer cell proliferation.
- Evolutionarily informed strategies can delay or prevent tumor progression and treatment failure.
- New therapeutic approaches can be developed by exploiting cancer's evolutionary vulnerabilities.
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