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评估癌症患者 5-氟尿嘧啶的药代动力学模型和治疗药物监测。

Evaluation of 5-fluorouracil pharmacokinetic models and therapeutic drug monitoring in cancer patients.

机构信息

Academic Medical Center, University of Amsterdam, Emma Children's Hospital & Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases, F0-220, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.

出版信息

Pharmacogenomics. 2013 May;14(7):799-811. doi: 10.2217/pgs.13.54.

Abstract

5-fluorouracil (5-FU) remains the cornerstone of all currently applied regimens for the treatment of patients with cancers of the gastrointestinal tract, breast, and head and neck. Unfortunately, a large variation in the clearance of 5-FU has been observed between patients, suggesting that some patients might receive nonoptimal 5-FU doses. However, therapeutic drug monitoring of 5-FU has been shown to result in reduced intra- and inter-individual variability in 5-FU plasma levels and pharmacokinetically guided dose adjustments of 5-FU-containing therapy results in a significantly improved efficacy and tolerability. To date, compartmental Michaelis-Menten elimination-based modeling has proven to be a sensitive and accurate tool for analyzing the pharmacokinetics of 5-FU and to identify patients with a dihydropyrimidine dehydrogenase deficiency. These Michaelis-Menten models also allow the use of a limited sampling strategy and offer the opportunity to predict a priori the 5-FU plasma concentrations in patients receiving adapted doses of 5-FU.

摘要

5-氟尿嘧啶(5-FU)仍然是目前用于治疗胃肠道癌、乳腺癌和头颈部癌患者的所有治疗方案的基石。不幸的是,在患者之间观察到 5-FU 的清除率存在很大差异,这表明一些患者可能接受非最佳的 5-FU 剂量。然而,5-FU 的治疗药物监测已被证明可降低 5-FU 血浆水平的个体内和个体间变异性,并通过对包含 5-FU 的治疗进行药代动力学指导的剂量调整,显著提高疗效和耐受性。迄今为止,基于隔室 Michaelis-Menten 消除的建模已被证明是一种敏感且准确的工具,可用于分析 5-FU 的药代动力学,并识别出二氢嘧啶脱氢酶缺乏症患者。这些 Michaelis-Menten 模型还允许使用有限的采样策略,并提供机会在接受适应剂量的 5-FU 的患者中预先预测 5-FU 血浆浓度。

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