Data Rate Theorem perspectives on the contribution of extrinsic risk factors to cancer development
- Published
- Accepted
- Subject Areas
- Evolutionary Studies, Mathematical Biology, Oncology, Public Health
- Keywords
- chemical exposure, control theory, information theory, social exposure
- Copyright
- © 2016 Wallace
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Data Rate Theorem perspectives on the contribution of extrinsic risk factors to cancer development. PeerJ PrePrints 4:e1709v1 https://doi.org/10.7287/peerj.preprints.1709v1
Abstract
We explore environmentally-induced tumors in the context of the ongoing conflict between long-evolved cancer control mechanisms and the central flaw of multicellularity, using a number of convergent necessary conditions statistical models based on the Data Rate Theorem linking control and information theories. Multicellular cancer suppression is an inherently unstable dynamic process that can fail through sufficient environmental insult, in particular for humans, involving the synergism of chemical exposures with the chronic inflammation of 'social' exposures that may be seen as accelerated aging.
Author Comment
The Data Rate Theorem hasn't yet percolated into control theory treatments of cancer development and progression. This is a preliminary attempt at such diffusion.