Somatic Evolution Of Cancer
AbstractHuman carcinogenesis may be thought of as Darwinian evolution of cells within the body (somatic evolution). As such, it may be modeled using evolutionary game theory. Winners in this game proliferate while losers become extinct. Here evolutionary dynamics are proposed that model the rate of somatic evolution. The speed at which somatic evolution proceeds determines whether a clinically significant cancer will emerge in the lifetime of the individual. The underlying model has an associated adaptive landscape that illustrates the evolutionary potential of cells due to the selection forces and microenvironment. Normal cells have a novel adaptive landscape that permits both coexistence and invasion of mutant phenotypes. A mutant cellular population does not initially form a malignancy because of constraints resulting in limited growth and nonlethal coexistence. However this coexistence deforms the local adaptive landscape resulting in the potential for evolution to drive the mutant cells to an unoccupied fitness peak resulting in an evasive cancer. There are two factors that determine this evolutionary potential. The first factor involves a relaxation of proliferation constraints and the second involves an increase in nutrients thereby removing a barrier allowing the mutant cells to climb to an adaptive peak. One unfortunate consequence of the cancer reaching this peak is that it starts producing acid that further contributes to the demise of the normal cells.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Game Theory Review.
Volume (Year): 10 (2008)
Issue (Month): 01 ()
Contact details of provider:
Web page: http://www.worldscinet.com/igtr/igtr.shtml
Find related papers by JEL classification:
- B4 - Schools of Economic Thought and Methodology - - Economic Methodology
- C0 - Mathematical and Quantitative Methods - - General
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- D5 - Microeconomics - - General Equilibrium and Disequilibrium
- D7 - Microeconomics - - Analysis of Collective Decision-Making
- M2 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tai Tone Lim).
If references are entirely missing, you can add them using this form.