Cancer as robust intrinsic state of endogenous molecular-cellular network shaped by evolution

被引:110
作者
Ao, Ping [1 ,2 ]
Galas, David [3 ]
Hood, Leroy [3 ]
Zhu, Xiaomei [4 ]
机构
[1] Univ Washington, Dept Mech Engn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Phys, Seattle, WA 98195 USA
[3] Inst Syst Biol, Seattle, WA 98103 USA
[4] GenMath Corp, Seattle, WA 98105 USA
关键词
D O I
10.1016/j.mehy.2007.03.043
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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.
引用
收藏
页码:678 / 684
页数:7
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