Pharmacy Department, Hospital Universitario Dr. Peset, Valencia. Spain..
Department of Pharmacy, Pharmaceutical Technology and Parasitology, Universidad de Valencia, Valencia. Spain. Interuniversity Institute for Molecular Recognition Research and Technological Development, Universidad de Valencia, Universidad Politécnica de Valencia, Valencia. Spain..
Farm Hosp. 2021 Dec 22;45(7):45-55.
Indication of personalized pharmacotherapy in oncologic patients is based on the selection of the optimal treatment (drugs, dosing, routes and methods of administration and duration) and on the most appropriate dosing method to achieve maximum antineoplastic efficacy, expressed in terms of remission or relapse-free time and acceptable toxicity for the patients. The aim of this study was to explore the contribution of therapeutic monitoring of plasma concentrations and of the application of the pharmacokinetic and pharmacodynamic information available for some widely used drugs to therapeutic personalization to the care of oncologic patients.
A complete non-systematic literature review was carried out of the pharmacokinetic and pharmacodynamic properties of antineoplastic agents, as well as of the results of their use in clinical practice. The search for high quality articles included primary and secondary bibliographic sources. The benefits of therapeutic monitoring were evaluated for parenteral cytotoxic rugs, oral antineoplastic drugs, monoclonal antibodies and other biological therapies used in clinical practice.
Therapeutic personalization of antineoplastic drugs based on therapeutic monitoring of plasma concentrations together with the information provided by pharmacokinetic-pharmacodynamic models makes it possible to reduce toxicity and increase the effectiveness of treatment. When personalized treatment is established with high-dose methotrexate in patients with osteosarcoma, target maximum concentrations are reached in 70% of the cycles (49% when fixed doses are used). When 5-fluorouracil is used in patients with colorectal cancer, the response rate is 33.7% (18.3% with fixed doses). Similar benefit rates are obtained with asparaginase, busulfan, oral antineoplastics and monoclonal antibodies.
Due to the narrow therapeutic range of antineoplastic drugs and the highly variable clinical response they elicit, both in terms of effectiveness and safety, the monitoring of their plasma concentrations and the application of pharmacokinetic and pharmacodynamic principles and models constitute feasible and promising tools in the personalization of oncologic treatment.
肿瘤患者的个体化药物治疗的指征基于选择最佳治疗方案(药物、剂量、给药途径和方法以及治疗时间),以及为了实现最大抗肿瘤疗效而选择最合适的剂量方案,这体现在缓解或无复发生存时间以及患者可接受的毒性方面。本研究旨在探讨治疗药物监测血浆浓度以及应用现有一些广泛使用的药物的药代动力学和药效学信息对个体化治疗肿瘤患者的护理的贡献。
对肿瘤治疗药物的药代动力学和药效学特性以及这些药物在临床实践中的应用结果进行了全面的非系统性文献复习。高质量文章的检索包括初级和二级文献来源。评估了治疗药物监测对细胞毒性静脉注射药物、口服抗肿瘤药物、单克隆抗体和其他在临床实践中使用的生物治疗的益处。
基于治疗药物监测和药代动力学-药效学模型提供的信息对肿瘤药物进行个体化治疗,可以降低毒性并提高治疗效果。当在骨肉瘤患者中使用大剂量甲氨蝶呤进行个体化治疗时,在 70%的周期中达到目标最大浓度(使用固定剂量时为 49%)。当 5-氟尿嘧啶用于结直肠癌患者时,反应率为 33.7%(使用固定剂量时为 18.3%)。类似的获益率也可在使用天冬酰胺酶、白消安、口服抗肿瘤药物和单克隆抗体时获得。
由于抗肿瘤药物的治疗窗狭窄,且临床疗效和安全性差异很大,因此监测其血浆浓度并应用药代动力学和药效学原理和模型是肿瘤治疗个体化的可行且有前途的工具。