Phase I Clinical Trial Unit, The First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
Department of Clinical Pharmacology, School of Pharmacy College, Nanjing Medical University, Nanjing, 211166, China.
J Pharmacokinet Pharmacodyn. 2024 Aug;51(4):367-384. doi: 10.1007/s10928-024-09912-z. Epub 2024 Mar 30.
The new adjuvant chemotherapy of docetaxel, epirubicin, and cyclophosphamide has been recommended for treating breast cancer. It is necessary to investigate the potential drug-drug Interactions (DDIs) since they have a narrow therapeutic window in which slight differences in exposure might result in significant differences in treatment efficacy and tolerability. To guide clinical rational drug use, this study aimed to evaluate the DDI potentials of docetaxel, cyclophosphamide, and epirubicin in cancer patients using physiologically based pharmacokinetic (PBPK) models. The GastroPlus™ was used to develop the PBPK models, which were refined and validated with observed data. The established PBPK models accurately described the pharmacokinetics (PKs) of three drugs in cancer patients, and the predicted-to-observed ratios of all the PK parameters met the acceptance criterion. The PBPK model predicted no significant changes in plasma concentrations of these drugs during co-administration, which was consistent with the observed clinical phenomenon. Besides, the verified PBPK models were then used to predict the effect of other Cytochrome P450 3A4 (CYP3A4) inhibitors/inducers on these drug exposures. In the DDI simulation, strong CYP3A4 modulators changed the exposure of three drugs by 0.71-1.61 fold. Therefore, patients receiving these drugs in combination with strong CYP3A4 inhibitors should be monitored regularly to prevent adverse reactions. Furthermore, co-administration of docetaxel, cyclophosphamide, or epirubicin with strong CYP3A4 inducers should be avoided. In conclusion, the PBPK models can be used to further investigate the DDI potential of each drug and to develop dosage recommendations for concurrent usage by additional perpetrators or victims.
多西他赛、表柔比星和环磷酰胺的新辅助化疗已被推荐用于治疗乳腺癌。由于这些药物的治疗窗很窄,暴露量的微小差异可能导致治疗效果和耐受性的显著差异,因此有必要研究潜在的药物相互作用(DDI)。为了指导临床合理用药,本研究旨在使用基于生理的药代动力学(PBPK)模型评估多西他赛、环磷酰胺和表柔比星在癌症患者中的潜在药物相互作用。使用 GastroPlus™ 开发 PBPK 模型,并使用观察数据对其进行优化和验证。建立的 PBPK 模型准确描述了三种药物在癌症患者中的药代动力学(PK),所有 PK 参数的预测与观察比值均符合接受标准。PBPK 模型预测这些药物在联合用药时血浆浓度没有显著变化,这与观察到的临床现象一致。此外,经过验证的 PBPK 模型随后用于预测其他细胞色素 P450 3A4(CYP3A4)抑制剂/诱导剂对这些药物暴露的影响。在 DDI 模拟中,强 CYP3A4 调节剂使三种药物的暴露量变化了 0.71-1.61 倍。因此,接受这些药物联合治疗的患者应定期监测,以防止不良反应。此外,应避免多西他赛、环磷酰胺或表柔比星与强 CYP3A4 诱导剂联合使用。总之,PBPK 模型可用于进一步研究每种药物的 DDI 潜力,并为其他肇事者或受害者同时使用制定剂量建议。