Sandström M, Lindman H, Nygren P, Johansson M, Bergh J, Karlsson M O
Department of Pharmaceutical Biosciences, Division of Pharmacokinetics and Drug Therapy, Faculty of Pharmacy, Uppsala University, Uppsala, Sweden.
Cancer Chemother Pharmacol. 2006 Aug;58(2):143-56. doi: 10.1007/s00280-005-0140-2. Epub 2006 Feb 8.
The aims of the study were (a) to characterise the pharmacokinetics (PK), including inter-individual variability (IIV) and inter-occasion variability (IOV) as well as covariate relationships and (b) to characterise the relationship between the PK and the haematological toxicity of the component drugs of the fluorouracil (5-FU)-epirubicin (EPI)-cyclophosphamide (CP) regimen in breast cancer patients.
Data from 140 breast cancer patients, either within one of different studies or in routine clinical management, were included in the analyses. The patients were all treated with the fluorouracil-epirubicin-cyclophosphamide (FEC) regimen every third week for 3-12 courses, either in standard doses, i.e. 600/60/600 mg/m(2) of 5-FU, EPI and CP, respectively, or according to a dose escalation/reduction protocol (tailored dosing). PK data were available from 84 of the patients, whereas time-courses of haematological toxicity were available from 87 patients. The data analysis was carried out using mixed effects models within the NONMEM program.
The PK of 5-FU, EPI and 4-hydroxy-cyclophosphamide (4-OHCP), the active metabolite of CP, were described with a one-compartment model with saturable elimination, a three-compartment linear model and a two-compartment linear model, respectively. No clinical significant correlation was found between PK across drugs. The unexplained variability in clearance was found to be less within patients, between courses (inter-occasion variability, IOV) than between patients (inter-individual variability, IIV) for EPI and 5-FU. For 4-OHCP, however, the IIV diminished by approximately 45% when significant covariates were included and the final population model predicts an IIV that is equal to IOV. Significant covariates for elimination capacity parameters were serum albumin (5-FU, EPI and 4-OHCP), creatinine clearance (5-FU), bilirubin (EPI) and body surface area (BSA) (4-OHCP). Elimination capacity of 5-FU and EPI was not related to BSA and for none of the studied drugs did body weight explain the PK variability. The time-course of haematological toxicity after treatment was well described by a semi-physiological model that assumes additive haematological toxicity between CP and EPI with negligible contribution from 5-FU. The influence of G-CSF could be incorporated into the model in a mechanistic manner as shortening the maturation time to 43% of the normal duration and increasing the mitotic activity to 269% of normal activity.
The models presented describe the dose-concentration-toxicity relationships for the FEC therapy and may provide a basis for implementation and comparison of different individualisation strategies based on covariates, therapeutic drug monitoring and/or pharmacodynamic (PD) feedback. The PD model extends on previous semi-mechanistic models in that it also takes G-CSF administration into account.
本研究的目的是(a)描述氟尿嘧啶(5-FU)-表柔比星(EPI)-环磷酰胺(CP)方案中各成分药物在乳腺癌患者体内的药代动力学(PK)特征,包括个体间变异性(IIV)和个体内变异性(IOV)以及协变量关系;(b)描述PK与血液学毒性之间的关系。
分析纳入了140例乳腺癌患者的数据,这些数据来自不同研究之一或常规临床管理。所有患者每三周接受一次氟尿嘧啶-表柔比星-环磷酰胺(FEC)方案治疗,共3 - 12个疗程,采用标准剂量,即5-FU、EPI和CP分别为600/60/600 mg/m²,或根据剂量递增/递减方案(个体化给药)。84例患者有PK数据,87例患者有血液学毒性的时间进程数据。使用NONMEM程序中的混合效应模型进行数据分析。
5-FU、EPI和CP的活性代谢物4-羟基环磷酰胺(4-OHCP)的PK分别用具有饱和消除的一室模型、三室线性模型和二室线性模型进行描述。未发现不同药物之间的PK存在临床显著相关性。对于EPI和5-FU,清除率的未解释变异性在患者内、疗程间(个体内变异性,IOV)小于患者间(个体间变异性,IIV)。然而,对于4-OHCP,当纳入显著协变量时,IIV减少了约45%,最终的群体模型预测IIV等于IOV。消除能力参数的显著协变量包括血清白蛋白(5-FU、EPI和4-OHCP)、肌酐清除率(5-FU)、胆红素(EPI)和体表面积(BSA)(4-OHCP)。5-FU和EPI的消除能力与BSA无关,且对于所研究的任何药物,体重均不能解释PK变异性。治疗后血液学毒性的时间进程通过一个半生理模型得到了很好的描述,该模型假设CP和EPI之间的血液学毒性具有加和性,而5-FU的贡献可忽略不计。G-CSF的影响可以以一种机制性的方式纳入模型,即将成熟时间缩短至正常持续时间的43%,有丝分裂活性增加至正常活性的269%。
所提出的模型描述了FEC治疗的剂量-浓度-毒性关系,并可能为基于协变量、治疗药物监测和/或药效学(PD)反馈的不同个体化策略的实施和比较提供基础。该PD模型在先前的半机制模型基础上进行了扩展,因为它还考虑了G-CSF的给药。