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Updated: Feb 26, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
The Evolution and Ecology of Resistance in Cancer Therapy
1Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, Florida 33612.
Abstract:
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.
Insights
Cancer cells develop treatment resistance, but their proliferation is not guaranteed. Exploiting evolutionary dynamics can delay or prevent resistant cancer growth, offering new therapeutic strategies.
Area of Science:
- Oncology
- Evolutionary Biology
- Cancer Research
Background:
- Disseminated cancers remain largely fatal despite decades of new treatments.
- Cancer cells exhibit adaptive strategies to overcome effective therapies.
- Treatment resistance in cancer involves mechanisms to counteract therapy and subsequent resistant cell proliferation.
Purpose of the Study:
- To explore an alternative strategy for overcoming cancer treatment resistance.
- To understand and exploit the evolutionary dynamics governing resistant cancer cell proliferation.
- To investigate methods for delaying or preventing the proliferation of resistant cancer phenotypes.
Main Methods:
- Analysis of the two critical steps in clinical treatment resistance: emergence of resistance mechanisms and proliferation of resistant phenotypes.
- Exploration of ecoevolutionary dynamics governing resistant cell populations.
- Investigation into the costs and benefits of resistance mechanisms within the tumor microenvironment.
Main Results:
- Emergence of resistance mechanisms to cancer therapies is inevitable.
- Proliferation of resistant cancer cell phenotypes is not guaranteed and depends on evolutionary dynamics.
- Targeting resistance mechanisms directly has limited success due to genomic diversity and compensatory pathways.
Conclusions:
- Understanding and exploiting ecoevolutionary dynamics offers a novel strategy against cancer treatment resistance.
- Proliferation of resistant cancer phenotypes can be delayed or prevented by manipulating these dynamics.
- This approach shifts focus from targeting resistance mechanisms to controlling resistant cell population growth.
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