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Role of symmetric and asymmetric division of stem cells in developing drug resistance

机译:干细胞对称和不对称分裂在发展耐药性中的作用

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摘要

Often, resistance to drugs is an obstacle to a successful treatment of cancer. In spite of the importance of the problem, the actual mechanisms that control the evolution of drug resistance are not fully understood. Many attempts to study drug resistance have been made in the mathematical modeling literature. Clearly, in order to understand drug resistance, it is imperative to have a good model of the underlying dynamics of cancer cells. One of the main ingredients that has been recently introduced into the rapidly growing pool of mathematical cancer models is stem cells. Surprisingly, this all-so-important subset of cells has not been fully integrated into existing mathematical models of drug resistance. In this work we incorporate the various possible ways in which a stem cell may divide into the study of drug resistance. We derive a previously undescribed estimate of the probability of developing drug resistance by the time a tumor is detected and calculate the expected number of resistant cancer stem cells at the time of tumor detection. To demonstrate the significance of this approach, we combine our previously undescribed mathematical estimates with clinical data that are taken from a recent six-year follow-up of patients receiving imatinib for the first-line treatment of chronic myelogenous leukemia. Based on our analysis we conclude that leukemia stem cells must tend to renew symmetrically as opposed to their healthy counterparts that predominantly divide asymmetrically.
机译:通常,对药物的耐药性是成功治疗癌症的障碍。尽管存在问题的重要性,但仍未完全了解控制耐药性演变的实际机制。在数学建模文献中已经进行了许多研究耐药性的尝试。显然,为了理解耐药性,必须具有癌细胞潜在动态的良好模型。干细胞是最近被引入快速增长的数学癌症模型库的主要成分之一。令人惊讶的是,细胞的这一非常重要的子集尚未完全整合到现有的耐药性数学模型中。在这项工作中,我们将干细胞分为研究耐药性的各种可能方式。我们推导出以前未描述的在检测到肿瘤时发展为耐药性的可能性的估计值,并在肿瘤检测时计算预期的耐药性癌症干细胞数。为了证明这种方法的重要性,我们将先前未描述的数学估计值与临床数据相结合,这些数据来自对伊马替尼进行慢性骨髓性白血病一线治疗的患者最近六年的随访。根据我们的分析,我们得出结论,白血病干细胞必须倾向于对称更新,而不是主要以不对称分裂方式分裂的健康干细胞。

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