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DOI 10.1007/s11095-019-2660-1

Медицинская библиотека · Pharmaceutical research · 2019

Model-based analysis of treatment effects of paclitaxel microspheres in a microscopic peritoneal carcinomatosis model in mice.

Xie Feifan, De Clercq Kaat, Vervaet Chris, Van Bocxlaer Jan, Colin Pieter, Vermeulen An

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Аннотация

PURPOSE: Paclitaxel (PTX)-loaded genipin-crosslinked gelatin microspheres (GP-MS) are a prolonged IP delivery system under development for the treatment of peritoneal minimal residual disease (pMRD). Here, we show the use of a pharmacokinetic-pharmacodynamic (PKPD) modelling approach to inform the formulation development of PTX-GP-MS in a mice pMRD model.

METHODS

PTX blood concentrations and survival data were obtained in Balb/c Nu mice receiving different single IP doses (7.5 and/or 35 mg/kg) of PTX-ethanolic loaded GP-MS (PTXEtOH-GP-MS), PTX-nanosuspension loaded GP-MS (PTXnano-GP-MS), and immediate release formulation Abraxane®. A population PK model was developed to characterize the PTX blood concentration pattern and to predict PTX concentrations in peritoneum. Afterwards, PKPD relationships between the predicted peritoneal or blood concentrations and survival were explored using time-to-event modelling.

RESULTS

A PKPD model was developed that simultaneously describes the competing effects of treatment efficacy (driven by peritoneal concentration) and toxicity (driven by blood concentration) of PTX on survival. Clear survival advantages of PTXnano-GP-MS over PTXEtOH-GP-MS and Abraxane® were found. Simulations of different doses of PTXnano-GP-MS demonstrated that drug-induced toxicity is high at doses between 20 and 35 mg/kg.

CONCLUSIONS

The model predicts that the dose range of 7.5-15 mg/kg of PTXnano-GP-MS provides an optimal balance between efficacy and safety.

Для цитирования: Xie Feifan, De Clercq Kaat, Vervaet Chris, Van Bocxlaer Jan, Colin Pieter, Vermeulen An. Model-based analysis of treatment effects of paclitaxel microspheres in a microscopic peritoneal carcinomatosis model in mice.. Pharmaceutical research. 2019. DOI: 10.1007/s11095-019-2660-1.

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