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Docetaxel, cyclophosphamide, and epirubicin: application of PBPK modeling to gain new insights for drug-drug interactions.
Li, Tongtong; Zhou, Sufeng; Wang, Lu; Zhao, Tangping; Wang, Jue; Shao, Feng.
Affiliation
  • Li T; Phase I Clinical Trial Unit, The First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
  • Zhou S; Department of Clinical Pharmacology, School of Pharmacy College, Nanjing Medical University, Nanjing, 211166, China.
  • Wang L; Phase I Clinical Trial Unit, The First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
  • Zhao T; Phase I Clinical Trial Unit, The First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
  • Wang J; Phase I Clinical Trial Unit, The First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
  • Shao F; Department of Clinical Pharmacology, School of Pharmacy College, Nanjing Medical University, Nanjing, 211166, China.
J Pharmacokinet Pharmacodyn ; 51(4): 367-384, 2024 Aug.
Article in En | MEDLINE | ID: mdl-38554227
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Epirubicin / Cyclophosphamide / Drug Interactions / Cytochrome P-450 CYP3A / Docetaxel / Models, Biological Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: J Pharmacokinet Pharmacodyn Journal subject: FARMACOLOGIA Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Epirubicin / Cyclophosphamide / Drug Interactions / Cytochrome P-450 CYP3A / Docetaxel / Models, Biological Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: J Pharmacokinet Pharmacodyn Journal subject: FARMACOLOGIA Year: 2024 Document type: Article Affiliation country: China