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Preventative Cancer Treatments Through Optimizing Tissue Structure

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  • Christopher Graser

    (University of Amsterdam)

Abstract

The likelihood of cancer emergence is highly dependent on the underlying tissue structure. This article gives evolutionary explanations for why natural selection fails to select for tissue structures that would minimize the likelihood of cancer. In a second step, a mathematical framework is proposed, within which the risk of cancer emergence can be expressed and calculated dependent on a given tissue structure. This can be used to identify optimal structures and strategies for improvement. Lastly, the article explores both, ways to identify target areas for such intervention, as well as avenues towards developing treatment options.

Suggested Citation

  • Christopher Graser, 2020. "Preventative Cancer Treatments Through Optimizing Tissue Structure," Tinbergen Institute Discussion Papers 20-012/II, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20200012
    as

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    File URL: https://papers.tinbergen.nl/20012.pdf
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    References listed on IDEAS

    as
    1. Franziska Michor & Timothy P. Hughes & Yoh Iwasa & Susan Branford & Neil P. Shah & Charles L. Sawyers & Martin A. Nowak, 2005. "Dynamics of chronic myeloid leukaemia," Nature, Nature, vol. 435(7046), pages 1267-1270, June.
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    More about this item

    Keywords

    Evolution; Evolutionary Game Theory; Cancer;
    All these keywords.

    JEL classification:

    • Z00 - Other Special Topics - - General - - - General
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • I10 - Health, Education, and Welfare - - Health - - - General

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