肿瘤发生与发展作为内源性分子-细胞网络功能景观的动力学
Cancer Genesis and Progression as Dynamics in Functional Landscape of Endogenous Molecular-Cellular Network
摘要：
一个内源性的分子细胞网络的正常和异常的功能被假定存在。这个内生网络形成了一个非线性随机动力系统，在其功能景观中有许多稳定的吸引子。正常或异常的鲁棒状态可以由该网络以类似于神经网络的方式来决定。在这种情况下，癌症被假设为其强大的内在状态之一。这一假设意味着，一个非线性随机数学癌症模型是可构建的基础上，现有的实验数据和定量预测是直接测试。在这种模型中，癌症的发生和发展可以被看作是不同吸引子之间的随机转换。因此，它进一步表明，进步不是任意的。本文还讨论了肿瘤的遗传学与表观遗传学、双刃效应、休眠等重要问题。因此，提出了一套不同的癌症预防、治疗和护理策略。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
