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肿瘤细胞中自组织现象的出现:对诊断和治疗的意义。

Emergence of self-organization in tumor cells: relevance for diagnosis and therapy.

作者信息

Kraus M, Wolf B

机构信息

AG Medizinische Physik und Elektronenmikroskopie, Albert-Ludwigs-Universität, Freiburg, FRG.

出版信息

Tumour Biol. 1993;14(6):338-53. doi: 10.1159/000217849.

DOI:10.1159/000217849
PMID:8265980
Abstract

The cell is a complex system functioning outside a thermodynamic equilibrium. The prediction of cellular functions based exclusively on molecular evidence is still impossible because of the large number of interacting molecules and the nonlinear interactions between cellular subsystems. The system cell displays a surprisingly small spectrum of macroscopically observable degrees of freedom. Their number and characteristics, however, are different in normal and neoplastic growth. As illustrated by image analytical, microanalytical and other cell biological data we demonstrate that certain cellular observables--termed order parameters--may serve as indicators for normal and neoplastic growth. The data indicate that the transition between normal and neoplastic growth can be understood as a phase transition of the mitogenic signalling network. In this interpretation, the order parameters of normal and neoplastic cells are the result of cellular self-organization.

摘要

细胞是在热力学平衡之外发挥作用的复杂系统。由于存在大量相互作用的分子以及细胞子系统之间的非线性相互作用,仅基于分子证据来预测细胞功能仍然是不可能的。系统细胞显示出宏观上可观察到的自由度范围小得出奇。然而,它们的数量和特征在正常生长和肿瘤生长中是不同的。正如图像分析、微量分析和其他细胞生物学数据所表明的,我们证明某些细胞可观察量——称为序参量——可作为正常生长和肿瘤生长的指标。数据表明,正常生长和肿瘤生长之间的转变可被理解为有丝分裂信号网络的相变。按照这种解释,正常细胞和肿瘤细胞的序参量是细胞自组织的结果。

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引用本文的文献

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The role of tumor microenvironment and self-organization in cancer progression: Key insights for therapeutic development.肿瘤微环境和自组织在癌症进展中的作用:治疗开发的关键见解。
Bioimpacts. 2024 Dec 7;15:30713. doi: 10.34172/bi.30713. eCollection 2025.
2
Introduction of hypermatrix and operator notation into a discrete mathematics simulation model of malignant tumour response to therapeutic schemes in vivo. Some operator properties.将超矩阵和算子符号引入体内恶性肿瘤对治疗方案反应的离散数学模拟模型。一些算子性质。
Cancer Inform. 2009 Oct 21;7:239-51. doi: 10.4137/cin.s2712.
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Pattern of self-organization in tumour systems: complex growth dynamics in a novel brain tumour spheroid model.
肿瘤系统中的自组织模式:新型脑肿瘤球体模型中的复杂生长动力学
Cell Prolif. 2001 Apr;34(2):115-34. doi: 10.1046/j.1365-2184.2001.00202.x.
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Nonlinearity in the epidemiology of complex health and disease processes.复杂健康与疾病过程流行病学中的非线性
Theor Med Bioeth. 1998 Dec;19(6):591-607. doi: 10.1023/a:1009979306346.