Literature DB >> 26527288

Application of Evolutionary Principles to Cancer Therapy.

Pedro M Enriquez-Navas1, Jonathan W Wojtkowiak1, Robert A Gatenby2.   

Abstract

The dynamic cancer ecosystem, with its rich temporal and spatial diversity in environmental conditions and heritable cell phenotypes, is remarkably robust to therapeutic perturbations. Even when response to therapy is clinically complete, adaptive tumor strategies almost inevitably emerge and the tumor returns. Although evolution of resistance remains the proximate cause of death in most cancer patients, a recent analysis found that evolutionary terms were included in less than 1% of articles on the cancer treatment outcomes, and this has not changed in 30 years. Here, we review treatment methods that attempt to understand and exploit intratumoral evolution to prolong response to therapy. In general, we find that treating metastatic (i.e., noncurable) cancers using the traditional strategy aimed at killing the maximum number of tumor cells is evolutionarily unsound because, by eliminating all treatment-sensitive cells, it enables rapid proliferation of resistant populations-a well-known evolutionary phenomenon termed "competitive release." Alternative strategies, such as adaptive therapy, "ersatzdroges," and double-bind treatments, shift focus from eliminating tumor cells to evolution-based methods that suppress growth of resistant populations to maintain long-term control. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26527288      PMCID: PMC4693617          DOI: 10.1158/0008-5472.CAN-15-1337

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  35 in total

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Review 4.  Evolutionary-thinking in agricultural weed management.

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5.  Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling.

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6.  The Norton-Simon hypothesis revisited.

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8.  ABC transporters in cancer: more than just drug efflux pumps.

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9.  Cancer prevention strategies that address the evolutionary dynamics of neoplastic cells: simulating benign cell boosters and selection for chemosensitivity.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-08       Impact factor: 4.254

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  37 in total

Review 1.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

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2.  Mechanistic Distinctions between CHK1 and WEE1 Inhibition Guide the Scheduling of Triple Therapy with Gemcitabine.

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Review 4.  From tumour heterogeneity to advances in precision treatment of colorectal cancer.

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Review 5.  Polytherapy and Targeted Cancer Drug Resistance.

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Review 6.  Tumor evolution: Linear, branching, neutral or punctuated?

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Review 7.  The role of metabolic ecosystem in cancer progression - metabolic plasticity and mTOR hyperactivity in tumor tissues.

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Review 8.  The Genetic/Non-genetic Duality of Drug 'Resistance' in Cancer.

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Review 9.  Brain metastasis: Unique challenges and open opportunities.

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Review 10.  A systems biology approach to discovering pathway signaling dysregulation in metastasis.

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