Royer Bernard, Jullien Vincent, Guardiola Emmanuel, Heyd Bruno, Chauffert Bruno, Kantelip Jean-Pierre, Pivot Xavier
UMR645, INSERM, Besançon, France.
Clin Pharmacokinet. 2009;48(3):169-80. doi: 10.2165/00003088-200948030-00003.
Ovarian cancer is the leading cause of gynaecological cancer-related death in Western countries. Intraperitoneal (IP) peroperative chemotherapy is an interesting therapeutic option. However, very few data are available regarding pharmacokinetics and especially population pharmacokinetics.
Thirty-one patients with advanced epithelial cancer classified as International Federation of Gynecology and Obstetrics stage IIIC were included in the study. Blood and IP samples were taken over a 24-hour period during and after IP treatment. Both total and ultrafiltered (Uf) platinum (Pt) concentrations were analysed using a population approach with nonlinear mixed-effects modelling (NONMEM) software. Improvement of the model with covariates was performed as well as assessment of the model using bootstrap and posterior visual predictive methods.
Both IP fluid and serum pharmacokinetics were satisfactorily described with a three-compartment model for both Uf Pt and total Pt concentrations. The covariates were bodyweight for the IP volume of distribution in the Uf Pt model, and both IP and serum protein concentrations for the clearance from the central compartment in the total Pt model. A nomogram, based on the results of the Monte Carlo simulations, displays a dose recommendation regarding both the risk of renal toxicity and the potent efficacy of the treatment. A limited sampling strategy (LSS) allowing the estimation of potential risk of renal toxicity is also described.
The pharmacokinetics of cisplatin during peroperative IP chemotherapy could be successfully fitted with the present model, which allowed a dosing strategy accompanied by an LSS to facilitate the follow-up of patients.
在西方国家,卵巢癌是妇科癌症相关死亡的主要原因。术中腹腔内(IP)化疗是一种有吸引力的治疗选择。然而,关于药代动力学,尤其是群体药代动力学的数据非常少。
本研究纳入了31例国际妇产科联盟(FIGO)分期为IIIC期的晚期上皮性癌患者。在IP治疗期间及之后的24小时内采集血液和IP样本。使用非线性混合效应建模(NONMEM)软件,采用群体方法分析总铂(Pt(Pt)浓度和超滤(Uf)铂浓度。使用协变量对模型进行改进,并使用自抽样法和后验视觉预测方法对模型进行评估。
对于Uf Pt浓度和总Pt浓度,三室模型均能令人满意地描述IP液和血清的药代动力学。在Uf Pt模型中,协变量是体重,用于IP分布容积;在总Pt模型中,协变量是IP和血清蛋白浓度,用于中央室清除率。基于蒙特卡罗模拟结果的列线图显示了关于肾毒性风险和治疗有效率的剂量推荐。还描述了一种允许估计肾毒性潜在风险的有限采样策略(LSS)。
本模型能够成功拟合术中IP化疗期间顺铂的药代动力学,该模型所支持的给药策略及LSS有助于对患者进行随访。