Harvard-MIT Division of Health Science Technology, Massachusetts Institute of Technology, Cambridge, MA, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
J Control Release. 2022 Dec;352:840-860. doi: 10.1016/j.jconrel.2022.10.043. Epub 2022 Nov 14.
While there have been rapid advances in developing new and more targeted drugs to treat cancer, much less progress has been made in individualizing dosing. Even though the introduction of immunotherapies such as CAR T-cells and checkpoint inhibitors, as well as personalized therapies that target specific mutations, have transformed clinical treatment of cancers, chemotherapy remains a mainstay in oncology. Chemotherapies are typically dosed on either a body surface area (BSA) or weight basis, which fails to account for pharmacokinetic differences between patients. Drug absorption, distribution, metabolism, and excretion rates can vary between patients, resulting in considerable differences in exposure to the active drugs. These differences result in suboptimal dosing, which can reduce efficacy and increase side-effects. Therapeutic drug monitoring (TDM), genotype guided dosing, and chronomodulation have been developed to address this challenge; however, despite improving clinical outcomes, they are rarely implemented in clinical practice for chemotherapies. Thus, there is a need to develop interventions that allow for individualized drug dosing of chemotherapies, which can help maximize the number of patients that reach the most efficacious level of drug in the blood while mitigating the risks of underdosing or overdosing. In this review, we discuss the history of the development of chemotherapies, their mechanisms of action and how they are dosed. We discuss substantial intraindividual and interindividual variability in chemotherapy pharmacokinetics. We then propose potential engineering solutions that could enable individualized dosing of chemotherapies, such as closed-loop drug delivery systems and bioresponsive biomaterials.
虽然在开发新的、更有针对性的癌症治疗药物方面取得了快速进展,但在个体化剂量方面的进展却相对较少。尽管免疫疗法(如 CAR T 细胞和检查点抑制剂)和针对特定突变的个性化疗法的引入已经改变了癌症的临床治疗,但化疗仍然是肿瘤学的主要手段。化疗通常根据体表面积(BSA)或体重给药,但未能考虑到患者之间药代动力学的差异。药物吸收、分布、代谢和排泄率在患者之间可能存在差异,导致对活性药物的暴露存在显著差异。这些差异导致剂量不足,从而降低疗效并增加副作用。为了解决这一挑战,已经开发了治疗药物监测(TDM)、基因型指导剂量和时间治疗学等方法;然而,尽管这些方法改善了临床结果,但它们在化疗的临床实践中很少实施。因此,需要开发干预措施,实现化疗的个体化药物剂量,从而帮助最大限度地提高达到血液中最有效药物水平的患者数量,同时降低剂量不足或过量的风险。在这篇综述中,我们讨论了化疗药物的发展历史、作用机制以及它们的给药方式。我们讨论了化疗药代动力学中个体内和个体间的显著变异性。然后,我们提出了一些潜在的工程解决方案,例如闭环药物输送系统和生物响应性生物材料,这些方案可以实现化疗的个体化给药。