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细胞毒性治疗的差异反应解释了急性髓细胞白血病患者的治疗动态:来自数学建模方法的见解。

Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach.

机构信息

Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany.

Medical Clinic and Polyclinic I, University Hospital Dresden Carl Gustav Carus, TU Dresden, Dresden, Germany.

出版信息

J R Soc Interface. 2020 Sep;17(170):20200091. doi: 10.1098/rsif.2020.0091. Epub 2020 Sep 9.

Abstract

Disease response and durability of remission are very heterogeneous in patients with acute myeloid leukaemia (AML). There is increasing evidence that the individual risk of early relapse can be predicted based on the initial treatment response. However, it is unclear how such a correlation is linked to functional aspects of AML progression and treatment. We suggest a mathematical model in which leukaemia-initiating cells and normal/healthy haematopoietic stem and progenitor cells reversibly change between an active state characterized by proliferation and chemosensitivity and a quiescent state, in which the cells do not divide, but are also insensitive to chemotherapy. Applying this model to 275 molecular time courses of -mutated patients, we conclude that the differential chemosensitivity of the leukaemia-initiating cells together with the cells' intrinsic proliferative capacity is sufficient to reproduce both, early relapse as well as long-lasting remission. We can, furthermore, show that the model parameters associated with individual chemosensitivity and proliferative advantage of the leukaemic cells are closely linked to the patients' time to relapse, while a reliable prediction based on early response only is not possible based on the currently available data. Although we demonstrate with our approach, that the complete response data is sufficient to quantify the aggressiveness of the disease, further investigations are necessary to study how an intensive early sampling strategy may prospectively improve risk assessment and help to optimize individual treatments.

摘要

在急性髓系白血病(AML)患者中,疾病反应和缓解的持久性差异很大。越来越多的证据表明,可以根据初始治疗反应来预测早期复发的个体风险。然而,目前尚不清楚这种相关性与 AML 进展和治疗的功能方面有何联系。我们提出了一个数学模型,其中白血病起始细胞和正常/健康造血干细胞和祖细胞在增殖和化疗敏感性为特征的活跃状态与不分裂但对化疗也不敏感的静止状态之间可逆转地变化。将该模型应用于 275 个 - 突变患者的分子时间过程中,我们得出结论,白血病起始细胞的差异化疗敏感性以及细胞内在的增殖能力足以重现早期复发和持久缓解。此外,我们可以表明,与白血病细胞的个体化疗敏感性和增殖优势相关的模型参数与患者的复发时间密切相关,而仅基于早期反应进行可靠预测是不可能的,因为目前的数据有限。尽管我们通过这种方法证明,完全缓解数据足以量化疾病的侵袭性,但仍需要进一步研究密集的早期采样策略如何能够前瞻性地改善风险评估并帮助优化个体治疗。

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