Honorary Visiting Scientist, Faculty of Life Sciences, Manchester Interdisciplinary Biosciences Centre, Manchester University, 131 Princess St., Manchester M1 7DN. UK.
Crit Rev Oncol Hematol. 2013 Oct;88(1):198-217. doi: 10.1016/j.critrevonc.2013.04.001. Epub 2013 May 31.
The variety of genes implicated in cancer induction is extensive but paradoxically all cancer cells behave in an identical and highly predictable fashion. This behaviour is closely correlated with a group of cellular morphological criteria termed Anaplasticity which involves increases/changes in: motility; invasion; replication; nuclear and chromosomal fragmentation; structural degradation; and phenotypic fluidity. Anaplasticity is so predictive it is a universal clinical yardstick for assessment and treatment. To understand this paradox, perceived mechanisms of cancer induction are reviewed and a new proposal made, namely that cancer is a diversion of energy required for structural organisation into maximum energy dissipation (entropy) through increased dynamic activities. This process is driven by oncogenic mutations or a variety of other permanent molecular alterations which re-direct "channels" distributing energy dissipation. These are organised along fractal networks (Fractal Entropy) and are not necessarily structure-dependent. "Oncogenic" alterations of any kind create cumulative effects by permanently stabilising parts of the fractal network, resulting in fractured co-ordination and re-direction of entropy into increased dynamic activity, which is the universal hallmark of cancer. The mechanism of Fractal Entropy employs Chaos and Fractal theories and is illustrated with Mandelbrot figures for fractal distributions and Chaos theory for its influence in creating fractal distributions and their behaviours. The proposal is examined in an in vitro heamatopoietic model (IL3 dependent cells) concerning regulation by growth factors of metabolism, apoptosis, oncogenesis and cell dormancy, and suggests new avenues of multi-disciplinary research. Summary While a genetic basis for cancer is well established, the mechanism(s) by which it is induced remain obscure. Paradoxically, although the spectrum of oncogenic mutations is extremely wide, all cancer cells universally exhibit a characteristic profile regardless of origin, whose progression is extremely predictable: increased proliferation, invasion and migration, loss in architectural integrity (anaplasticity), apoptotic inactivation etc. To understand this discrepancy, an extensive review was performed from the standpoint that since all oncogenes directly or indirectly alter enzyme pathways which control energy management, this may be a critical component of the induction process; alterations in management divert energy away from the construction and maintenance of stable complex structure into dynamic activity such as continuing replication, motility and migration, and architectural fluidity, ie. anaplasticity. This diversion would flow from the laws of thermodynamics which require energy to be dissipated (entropy). The review prompted a model (Fractal Entropy) whereby cellular entropic dissipation follows structure-independent fractal distributions rather than the linearly ordered, sequential pathways currently modelled for signal transduction. "Malignant" behaviour arises from disturbances which bias this fractal network to achieve maximum entropy. Because replication, motility and architectural plasticity all actively dissipate more energy through kinetic activity than by structure-building in which energy becomes "locked in", these routes are preferred eventually generating a universal malignant phenotype independent of the types of mutations and pathways initially affected. A proposed mechanism for the model is based on Chaos and Fractal theories illustrated in the Appendix. These present examples of dynamic fractal behaviour through Mandelbrot figures and of how Chaos theory can initiate and guide distribution of entropy fractals. This proposal accords fully with established physical laws and the most recent research, and reconciles many of the unresolved problems concerning genetic heterogeneity, the universality of malignant cell behaviour, cancer progression, and the well-known, but still unexplained, metabolic Warburg effect. An established in vitro cell model offers evidence for the hypothesis which suggests new directions for multi-disciplinary research into the origin of cancer.
癌症诱导中涉及的基因种类繁多,但具有讽刺意味的是,所有癌细胞的行为都完全相同且高度可预测。这种行为与一组称为非典型性的细胞形态学标准密切相关,其涉及:运动性增加/变化;侵袭性增加/变化;复制增加/变化;核和染色体碎片化;结构降解;表型流变性增加/变化。非典型性具有很强的预测性,是评估和治疗的通用临床标准。为了理解这种矛盾,我们回顾了癌症诱导的公认机制,并提出了一个新的建议,即癌症是一种将结构组织所需的能量转移到最大能量耗散(熵)的过程,通过增加动态活动来实现。这个过程是由致癌突变或多种其他永久性分子改变驱动的,这些改变重新引导“通道”分配能量耗散。这些沿着分形网络(分形熵)组织,不一定依赖于结构。任何类型的“致癌”改变都会通过永久性地稳定分形网络的部分来产生累积效应,导致分形协调破裂和熵向增加的动态活动的重新定向,这是癌症的普遍标志。分形熵的机制采用混沌和分形理论,并使用 Mandelbrot 图说明分形分布,以及混沌理论对其影响创建分形分布及其行为。该提案在体外造血模型(IL3 依赖性细胞)中进行了检查,涉及生长因子对代谢、凋亡、致癌和细胞休眠的调节,并提出了新的多学科研究途径。
虽然癌症的遗传基础已经得到很好的建立,但它的诱导机制仍然不清楚。具有讽刺意味的是,尽管致癌突变的范围非常广泛,但所有癌细胞无论起源如何,都普遍表现出特征性的特征,其进展非常可预测:增殖增加、侵袭和迁移、结构完整性丧失(非典型性)、凋亡失活等。为了理解这种差异,我们从以下观点进行了广泛的审查:由于所有致癌基因直接或间接改变控制能量管理的酶途径,这可能是诱导过程的一个关键组成部分;管理的改变将能量从稳定复杂结构的构建和维护转移到动态活动中,例如持续复制、运动和迁移以及结构流变性,即非典型性。这种转移将遵循热力学定律,需要能量耗散(熵)。该综述促使我们提出了一个模型(分形熵),其中细胞的熵耗散遵循与当前信号转导模型中线性有序、顺序途径无关的结构独立分形分布。“恶性”行为源于干扰,这些干扰会使分形网络发生偏差,以实现最大熵。由于复制、运动和结构可塑性都通过动力学活性积极耗散比结构构建更多的能量,在结构构建中能量“锁定”,因此这些途径最终会产生一种普遍的恶性表型,而与最初受影响的突变类型和途径无关。该模型的拟议机制基于混沌和分形理论,并在附录中进行了说明。这些通过 Mandelbrot 图展示了动态分形行为的示例,以及混沌理论如何启动和指导熵分形的分布。该提议完全符合既定的物理定律和最新的研究,并调和了许多关于遗传异质性、恶性细胞行为的普遍性、癌症进展以及众所周知但仍未解释的代谢性 Warburg 效应等方面的未解决问题。一个已建立的体外细胞模型为该假说提供了证据,为癌症起源的多学科研究提出了新的方向。