儿童急性淋巴细胞白血病维持治疗期间白细胞动力学的数学模型。

IF 0.8 4区 数学 Q4 BIOLOGY
Thuy T T Le, Felix Jost, Thomas Raupach, Jakob Zierk, Manfred Rauh, Meinolf Suttorp, Martin Stanulla, Markus Metzler, Sebastian Sager
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引用次数: 7

摘要

急性淋巴细胞白血病是儿童最常见的恶性肿瘤,需要长期的口服维持化疗,以防止疾病在静脉强化化疗诱导缓解后复发。在维持治疗中,调整6-巯基嘌呤(6-MP)和甲氨蝶呤(MTX)的药物剂量以达到持续的抗白血病活性,而不会过度抑制骨髓。然而,药物剂量反应的时间和程度以及最佳剂量适应策略存在不确定性。我们提出了一个新的6-MP和MTX在急性淋巴细胞维持治疗中的药代动力学、药效学和骨髓抑制的综合数学模型。我们使用临床数据对数学模型进行个性化和交叉验证,并提出一种实时算法来预测临床决策支持系统的化疗反应,作为潜在的未来应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mathematical model of white blood cell dynamics during maintenance therapy of childhood acute lymphoblastic leukemia.

Acute lymphoblastic leukemia is the most common malignancy in childhood and requires prolonged oral maintenance chemotherapy to prevent disease relapse after remission induction with intensive intravenous chemotherapy. In maintenance therapy, drug doses of 6-mercaptopurine (6-MP) and methotrexate (MTX) are adjusted to achieve sustained antileukemic activity without excessive myelosuppression. However, uncertainty exists regarding timing and extent of drug dose responses and optimal dose adaptation strategies. We propose a novel comprehensive mathematical model for 6-MP and MTX pharmacokinetics, pharmacodynamics and myelosuppression in acute lymphoblastic maintenance therapy. We personalize and cross-validate the mathematical model using clinical data and propose a real-time algorithm to predict chemotherapy responses with a clinical decision support system as a potential future application.

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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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