揭示动态肿瘤系统耐药的起源和性质

R. Santiago-Mozos, I. Khan, M. G. Madden
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引用次数: 19

摘要

在本文中,作者确定了耐药的癌细胞亚群采取的策略,以克服抗癌药物拓扑替康的作用。对于从延时显微镜编码的细胞谱系数据的分析,选择数据挖掘工具来生成数据的可解释模型,解决其统计意义。通过这些数据模型解释拓扑替康的短期和长期细胞毒性作用,作者揭示了耐药细胞亚群采取的策略,以最大化其克隆扩增潜力。在这种情况下,本文确定了一种独立于细胞毒性作用的细胞死亡模式。最后,观察到暴露于Topotecan的细胞随着时间的推移具有更高的运动性,表明细胞毒性作用与细胞运动性之间的假定关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems
In this paper, the authors identify the strategies that resistant subpopulations of cancer cells undertake to overcome the effect of the anticancer drug Topotecan. For the analyses of cell lineage data encoded from timelapse microscopy, data mining tools are chosen that generate interpretable models of the data, addressing their statistical significance. By interpreting the short-term and long-term cytotoxic effect of Topotecan through these data models, the authors reveal the strategies that resistant subpopulations of cells undertake to maximize their clonal expansion potential. In this context, this paper identifies a pattern of cell death independent of cytotoxic effect. Finally, it is observed that cells exposed to Topotecan have higher movement over time, indicating a putative relationship between cytotoxic effect and cell motility.
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