Menz Bradley D, Stocker Sophie L, Verougstraete Nick, Kocic Danijela, Galettis Peter, Stove Christophe P, Reuter Stephanie E
SA Pharmacy, Flinders Medical Centre, Adelaide, SA, Australia.
Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital, Sydney, NSW, Australia.
Br J Clin Pharmacol. 2021 Feb;87(2):227-236. doi: 10.1111/bcp.14372. Epub 2020 Jun 8.
There are few fields of medicine in which the individualisation of medicines is more important than in the area of oncology. Under-dosing can have significant ramifications due to the potential for therapeutic failure and cancer progression; by contrast, over-dosing may lead to severe treatment-limiting side effects, such as agranulocytosis and neutropenia. Both circumstances lead to poor patient prognosis and contribute to the high mortality rates still seen in oncology. The concept of dose individualisation tailors dosing for each individual patient to ensure optimal drug exposure and best clinical outcomes. While the value of this strategy is well recognised, it has seen little translation to clinical application. However, it is important to recognise that the clinical setting of oncology is unlike that for which therapeutic drug monitoring (TDM) is currently the cornerstone of therapy (e.g. antimicrobials). Whilst there is much to learn from these established TDM settings, the challenges presented in the treatment of cancer must be considered to ensure the implementation of TDM in clinical practice. Recent advancements in a range of scientific disciplines have the capacity to address the current system limitations and significantly enhance the use of anticancer medicines to improve patient health. This review examines opportunities presented by these innovative scientific methodologies, specifically sampling strategies, bioanalytics and dosing decision support, to enable optimal practice and facilitate the clinical implementation of TDM in oncology.
在医学领域中,很少有像肿瘤学领域这样,药物个体化如此重要。给药不足可能会因治疗失败和癌症进展的可能性而产生重大影响;相比之下,给药过量可能会导致严重的限制治疗的副作用,如粒细胞缺乏症和中性粒细胞减少症。这两种情况都会导致患者预后不良,并导致肿瘤学中仍然很高的死亡率。剂量个体化的概念是为每个患者量身定制给药方案,以确保最佳的药物暴露和最佳的临床结果。虽然这一策略的价值已得到充分认可,但在临床应用方面却鲜有转化。然而,必须认识到肿瘤学的临床环境与目前以治疗药物监测(TDM)为治疗基石的情况(如抗菌药物)不同。虽然从这些已确立的TDM环境中有很多可以学习的地方,但在癌症治疗中所面临的挑战必须加以考虑,以确保TDM在临床实践中的实施。一系列科学学科的最新进展有能力解决当前系统的局限性,并显著提高抗癌药物的使用以改善患者健康。本综述探讨了这些创新科学方法所带来的机会,特别是采样策略、生物分析和给药决策支持,以实现最佳实践并促进TDM在肿瘤学中的临床应用。