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Cellular automata as microscopic models of cell migration in heterogeneous environments.细胞自动机作为异质环境中细胞迁移的微观模型。
Curr Top Dev Biol. 2008;81:401-34. doi: 10.1016/S0070-2153(07)81014-3.
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Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.预测肿瘤学:关于将表型、形态学和生长联系起来的多学科、多尺度计算机模拟建模的综述。
Neuroimage. 2007;37 Suppl 1(Suppl 1):S120-34. doi: 10.1016/j.neuroimage.2007.05.043. Epub 2007 Jun 7.
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Tumor morphology and phenotypic evolution driven by selective pressure from the microenvironment.由微环境的选择性压力驱动的肿瘤形态学和表型进化。
Cell. 2006 Dec 1;127(5):905-15. doi: 10.1016/j.cell.2006.09.042.
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Mathematical models of targeted cancer therapy.靶向癌症治疗的数学模型。
Br J Cancer. 2006 Nov 6;95(9):1136-41. doi: 10.1038/sj.bjc.6603310. Epub 2006 Oct 10.
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Acid-mediated tumor invasion: a multidisciplinary study.酸介导的肿瘤侵袭:一项多学科研究。
Cancer Res. 2006 May 15;66(10):5216-23. doi: 10.1158/0008-5472.CAN-05-4193.
6
Glycolytic glioma cells with active glycogen synthase are sensitive to PTEN and inhibitors of PI3K and gluconeogenesis.具有活跃糖原合酶的糖酵解型胶质瘤细胞对PTEN以及PI3K和糖异生抑制剂敏感。
Lab Invest. 2005 Dec;85(12):1457-70. doi: 10.1038/labinvest.3700355.
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Evolutionary game theory in an agent-based brain tumor model: exploring the 'Genotype-Phenotype' link.基于智能体的脑肿瘤模型中的进化博弈论:探索“基因型-表型”联系
J Theor Biol. 2006 Jan 7;238(1):146-56. doi: 10.1016/j.jtbi.2005.05.027. Epub 2005 Aug 2.
8
Proton magnetic resonance spectroscopic evaluation of brain tumor metabolism.脑肿瘤代谢的质子磁共振波谱评估
Semin Oncol. 2004 Oct;31(5):605-17. doi: 10.1053/j.seminoncol.2004.07.003.
9
An evolutionary model of carcinogenesis.一种癌症发生的进化模型。
Cancer Res. 2003 Oct 1;63(19):6212-20.
10
Prediction of pathology and survival by FDG PET in gliomas.氟代脱氧葡萄糖正电子发射断层扫描(FDG PET)对胶质瘤病理及生存情况的预测
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进化博弈论阐明了糖酵解在胶质瘤进展和侵袭中的作用。

Evolutionary game theory elucidates the role of glycolysis in glioma progression and invasion.

作者信息

Basanta D, Simon M, Hatzikirou H, Deutsch A

机构信息

Zentrum für Informationsdienste und Hochleistungsrechnen, Technische Universität Dresden, Dresden, Germany, andNeurochirurgische Universitätsklinik, Universität Bonn, Bonn, Germany.

出版信息

Cell Prolif. 2008 Dec;41(6):980-987. doi: 10.1111/j.1365-2184.2008.00563.x.

DOI:10.1111/j.1365-2184.2008.00563.x
PMID:19040573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6495695/
Abstract

OBJECTIVES

Tumour progression has been described as a sequence of traits or phenotypes that cells have to acquire if the neoplasm is to become an invasive and malignant cancer. Although genetic mutations that lead to these phenotypes are random, the process by which some of these mutations become successful and cells spread is influenced by tumour microenvironment and the presence of other cell phenotypes. It is thus likely that some phenotypes that are essential in tumour progression will emerge in the tumour population only with prior presence of other different phenotypes.

MATERIALS AND METHODS

In this study, we use evolutionary game theory to analyse the interactions between three different tumour cell phenotypes defined by autonomous growth, anaerobic glycolysis, and cancer cell invasion. The model allows us to understand certain specific aspects of glioma progression such as the emergence of diffuse tumour cell invasion in low-grade tumours.

RESULTS

We have found that the invasive phenotype is more likely to evolve after appearance of the glycolytic phenotype which would explain the ubiquitous presence of invasive growth in malignant tumours.

CONCLUSIONS

The result suggests that therapies, which increase the fitness cost of switching to anaerobic glycolysis, might decrease probability of the emergence of more invasive phenotypes.

摘要

目的

肿瘤进展被描述为一系列特征或表型,如果肿瘤要发展成为侵袭性和恶性癌症,细胞就必须获得这些特征或表型。虽然导致这些表型的基因突变是随机的,但其中一些突变成功以及细胞扩散的过程会受到肿瘤微环境和其他细胞表型的影响。因此,一些在肿瘤进展中至关重要的表型可能只有在肿瘤群体中预先存在其他不同表型的情况下才会出现。

材料与方法

在本研究中,我们使用进化博弈论来分析由自主生长、无氧糖酵解和癌细胞侵袭所定义的三种不同肿瘤细胞表型之间的相互作用。该模型使我们能够理解胶质瘤进展的某些特定方面,例如低级别肿瘤中弥漫性肿瘤细胞侵袭的出现。

结果

我们发现,侵袭性表型在糖酵解表型出现后更有可能进化,这可以解释恶性肿瘤中侵袭性生长的普遍存在。

结论

该结果表明,增加转向无氧糖酵解的适应性成本的疗法可能会降低更具侵袭性表型出现的概率。