Journal
MEDICAL HYPOTHESES
Volume 70, Issue 3, Pages 678-684Publisher
CHURCHILL LIVINGSTONE
DOI: 10.1016/j.mehy.2007.03.043
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Funding
- NHGRI NIH HHS [HG002894, K25 HG002894-05, K25 HG002894] Funding Source: Medline
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [K25HG002894] Funding Source: NIH RePORTER
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An endogenous molecular-cellular network for both normal and abnormal functions is assumed to exist. This endogenous network forms a nonlinear stochastic dynamical system, with many stable attractors in its functional landscape. Normal or abnormal robust states can be decided by this network in a manner similar to the neural network. In this context cancer is hypothesized as one of its robust intrinsic states. This hypothesis implies that a nonlinear stochastic mathematical cancer model is constructible based on available experimental data and its quantitative prediction is directly testable. Within such model the genesis and progression of cancer may be viewed as stochastic transitions between different attractors. Thus it further suggests that progressions are not arbitrary. Other important issues on cancer, such as genetic vs epigenetics, double-edge effect, dormancy, are discussed in the light of present hypothesis. A different set of strategies for cancer prevention, cure, and care, is therefore suggested. (C) 2007 Elsevier Ltd. All rights reserved.
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