Babajanyan S G, Koonin Eugene V, Cheong Kang Hao
Science and Math Cluster Singapore University of Technology and Design S487372 Singapore.
National Center for Biotechnology Information National Library of Medicine National Institutes of Health Bethesda MD 20894 USA.
Adv Sci (Weinh). 2020 Jul 1;7(16):2000340. doi: 10.1002/advs.202000340. eCollection 2020 Aug.
It has been shown that the tumor population growth dynamics in a periodically varying environment can drastically differ from the one in a fixed environment. Thus, the environment of a tumor can potentially be manipulated to suppress cancer progression. Diverse evolutionary processes play vital roles in cancer progression and accordingly, understanding the interplay between these processes is essential in optimizing the treatment strategy. Somatic evolution and genetic instability result in intra-tumor cell heterogeneity. Various models have been developed to analyze the interactions between different types of tumor cells. Here, models of density-dependent interaction between different types of tumor cells under fast periodical environmental changes are examined. It is illustrated that tumor population densities, which vary on a slow time scale, are affected by fast environmental variations. Finally, the intriguing density-dependent interactions in metastatic castration-resistant prostate cancer (mCRPC) in which the different types of tumor cells are defined with respect to the production of and dependence on testosterone are discussed.
研究表明，肿瘤群体在周期性变化环境中的生长动力学可能与在固定环境中有很大不同。因此，肿瘤环境有可能被操控以抑制癌症进展。多种进化过程在癌症进展中起着至关重要的作用，相应地，理解这些过程之间的相互作用对于优化治疗策略至关重要。体细胞进化和基因不稳定性导致肿瘤内细胞异质性。已经开发了各种模型来分析不同类型肿瘤细胞之间的相互作用。在此，研究了在快速周期性环境变化下不同类型肿瘤细胞之间密度依赖性相互作用的模型。结果表明，在缓慢时间尺度上变化的肿瘤群体密度会受到快速环境变化的影响。最后，讨论了转移性去势抵抗性前列腺癌（mCRPC）中有趣的密度依赖性相互作用，其中不同类型的肿瘤细胞是根据睾酮的产生和对睾酮的依赖性来定义的。
