Medical Hypotheses
Volume 74, Issue 5 , Pages 922-927, May 2010

Optimization aspects of carcinogenesis

  • B. Brutovsky

      Affiliations

    • Department of Biophysics, P.J. Safarik University, Jesenna 5, 04154 Kosice, Slovakia
    • Corresponding Author InformationCorresponding author. Tel./fax: +421 55 622 2986.
  • ,
  • D. Horvath

      Affiliations

    • Centre de Biophysique Moléculaire, CNRS; Rue Charles Sadron, 45071 Orléans, France
    • Department of Physics, Faculty of Electrical Engineering and Informatics, Technical University, Letná 9, 04200 Košice, Slovakia

Received 8 October 2009; accepted 11 October 2009. published online 11 November 2009.

Abstract 

Any process in which competing solutions replicate with errors and numbers of their copies depend on their respective fitnesses is the evolutionary optimization process. As during carcinogenesis mutated genomes replicate according to their respective qualities, carcinogenesis obviously qualifies as the evolutionary optimization process and conforms to common mathematical basis. The optimization view accents statistical nature of carcinogenesis proposing that during it the crucial role is actually played by the allocation of trials. Optimal allocation of trials requires reliable schemas’ fitnesses estimations which necessitate appropriate, fitness landscape dependent, statistics of population. In the spirit of the applied conceptual framework, features which are known to decrease efficiency of any evolutionary optimization procedure (or inhibit it completely) are anticipated as “therapies” and reviewed. Strict adherence to the evolutionary optimization framework leads us to some counterintuitive implications which are, however, in agreement with recent experimental findings, such as sometimes observed more aggressive and malignant growth of therapy surviving cancer cells.

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PII: S0306-9877(09)00698-7

doi:10.1016/j.mehy.2009.10.019

Medical Hypotheses
Volume 74, Issue 5 , Pages 922-927, May 2010