Kraus M, Severin T, Wolf B
Institut für Immunbiologie, Albert-Ludwigs-Universität Freiburg, Germany.
Anticancer Res. 1994 Jul-Aug;14(4A):1573-83.
The process of tumor cell growth, invasion and metastasis involves a self-organized cascade of multiple tumor-host and tumor-immune interactions. The prediction of cancer development based exclusively on molecular evidence is still impossible because of the complex and heterogeneous control mechanisms actually acting in cellular systems. In contrast, most tumor cell systems display a limited spectrum of macroscopically observable modes of action which emerge as a result of cellular self-organization. The stability of the dynamic modes is controlled by relatively few order parameters. Their number and characteristics are different in normal and neoplastic growth. A systems-oriented analysis utilizing our method of Structured Biological Modelling (SBM) suggests that microenvironmental pH (pHme) can function as an important order parameter for self-organized cancer development. In the scope of an integrated minimal model for the multistep development of invasive tumor growth, this finding will be discussed with respect to its evolution, diagnostic relevance and possible therapeutical implications. The study underlines the necessity of minimal invasive methods for the on-line in vitro and in vivo monitoring of pH, oxygen, signal transducing molecules and essential nutrients in the microenvironment of tumor cells.
肿瘤细胞的生长、侵袭和转移过程涉及多个肿瘤-宿主和肿瘤-免疫相互作用的自组织级联反应。由于细胞系统中实际存在的复杂且异质性的控制机制,仅基于分子证据预测癌症发展仍然是不可能的。相比之下,大多数肿瘤细胞系统表现出有限的宏观可观察作用模式,这些模式是细胞自组织的结果。动态模式的稳定性由相对较少的序参量控制。它们的数量和特征在正常生长和肿瘤生长中有所不同。利用我们的结构化生物建模(SBM)方法进行的面向系统的分析表明,微环境pH值(pHme)可以作为自组织癌症发展的重要序参量。在侵袭性肿瘤生长多步骤发展的综合最小模型范围内,将讨论这一发现的演变、诊断相关性和可能的治疗意义。该研究强调了采用微创方法对肿瘤细胞微环境中的pH值、氧气、信号转导分子和必需营养物质进行在线体外和体内监测的必要性。