Sartakhti Javad Salimi, Manshaei Mohammad Hossein, Bateni Soroosh, Archetti Marco
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
School of Biological Sciences, University of East Anglia, Norwich, United Kingdom.
PLoS One. 2016 Dec 28;11(12):e0168856. doi: 10.1371/journal.pone.0168856. eCollection 2016.
Cancer cells and stromal cells cooperate by exchanging diffusible factors that sustain tumor growth, a form of frequency-dependent selection that can be studied in the framework of evolutionary game theory. In the case of multiple myeloma, three types of cells (malignant plasma cells, osteoblasts and osteoclasts) exchange growth factors with different effects, and tumor-stroma interactions have been analysed using a model of cooperation with pairwise interactions. Here we show that a model in which growth factors have autocrine and paracrine effects on multiple cells, a more realistic assumption for tumor-stroma interactions, leads to different results, with implications for disease progression and treatment. In particular, the model reveals that reducing the number of malignant plasma cells below a critical threshold can lead to their extinction and thus to restore a healthy balance between osteoclast and osteoblast, a result in line with current therapies against multiple myeloma.
癌细胞和基质细胞通过交换维持肿瘤生长的可扩散因子进行协作,这是一种频率依赖性选择形式,可在进化博弈论框架内进行研究。在多发性骨髓瘤的情况下,三种类型的细胞(恶性浆细胞、成骨细胞和破骨细胞)交换具有不同作用的生长因子,并且已经使用成对相互作用的合作模型分析了肿瘤 - 基质相互作用。在这里,我们表明,一个生长因子对多种细胞具有自分泌和旁分泌作用的模型,这是肿瘤 - 基质相互作用更现实的假设,会导致不同的结果,对疾病进展和治疗具有启示意义。特别是,该模型表明,将恶性浆细胞数量减少到临界阈值以下可导致其灭绝,从而恢复破骨细胞和成骨细胞之间的健康平衡,这一结果与目前针对多发性骨髓瘤的治疗方法一致。