Game theory in the death galaxy: interaction of cancer and stromal cells in tumour microenvironment
Game theory in the death galaxy: interaction of cancer and stromal cells in tumour microenvironment
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DOI：
10.1098/rsfs.2014.0028
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发表时间：
2014-08-06
期刊：
影响因子：
4.4
通讯作者：
Austin, Robert H.
中科院分区：
文献类型：
--
作者：
Wu, Amy;Liao, David;Austin, Robert H.
预防复发是癌症有效治疗的主要挑战。在肿瘤中，基质（ST）细胞在癌症进展和耐药性的出现中起着重要作用。在癌症治疗期间，ST细胞可以增强癌细胞的适应性，因为它们的分子信号相互作用延迟了药物诱导的癌细胞凋亡。另一方面，不应忽视癌细胞和ST细胞之间对空间或资源的竞争。我们通过使用我们称为死亡星系的实验微生态学来探索多发性骨髓瘤（MM）与骨髓ST细胞的种群动态，该实验微生态学具有稳定的药物梯度和连接的微生境。进化博弈论是一种定量的方法来捕捉互动种群的频率依赖性。因此，我们使用进化博弈理论来模拟死亡星系中的种群，并成功地预测了MM和ST细胞的未来密度。我们讨论了这种分析在预测癌症进展中的可能临床应用。
Preventing relapse is the major challenge to effective therapy in cancer. Within the tumour, stromal (ST) cells play an important role in cancer progression and the emergence of drug resistance. During cancer treatment, the fitness of cancer cells can be enhanced by ST cells because their molecular signalling interaction delays the drug-induced apoptosis of cancer cells. On the other hand, competition among cancer and ST cells for space or resources should not be ignored. We explore the population dynamics of multiple myeloma (MM) versus bone marrow ST cells by using an experimental microecology that we call the death galaxy, with a stable drug gradient and connected microhabitats. Evolutionary game theory is a quantitative way to capture the frequency-dependent nature of interactive populations. Therefore, we use evolutionary game theory to model the populations in the death galaxy with the gradients of pay-offs and successfully predict the future densities of MM and ST cells. We discuss the possible clinical use of such analysis for predicting cancer progression.