Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24 Uppsala, Sweden.
Cancer Chemother Pharmacol. 2010 Apr;65(5):839-48. doi: 10.1007/s00280-009-1089-3. Epub 2009 Aug 14.
A previously developed semi-physiological model of chemotherapy-induced myelosuppression has shown consistent system-related parameter and inter-individual variability (IIV) estimates across drugs. A requirement for dose individualization to be useful is relatively low variability between treatment courses (inter-occasion variability [IOV]) in relation to IIV. The objective of this study was to evaluate and compare magnitudes of IOV and IIV in myelosuppression model parameters across six different anti-cancer drug treatments.
Neutrophil counts from several treatment courses following therapy with docetaxel, paclitaxel, epirubicin-docetaxel, 5-fluorouracil-epirubicin-cyclophosphamide, topotecan, and etoposide were included in the analysis. The myelosuppression model was fitted to the data using NONMEM VI. IOV in the model parameters baseline neutrophil counts (ANC0), mean transit time through the non-mitotic maturation chain (mean transit time [MTT]), and the parameter describing the concentration-effect relationship (slope), were evaluated for statistical significance (P < 0.001).
Inter-occasion variability in MTT was significant for all the investigated datasets, except for topotecan, and was of similar magnitude (8-16 CV%). IOV in slope was significant for docetaxel, topotecan, and etoposide (19-39 CV%). For all six investigated datasets, the IOV in myelosuppression parameters was lower than the IIV. There was no indication of systematic shifts in the system- or drug sensitivity-related parameters over time across datasets.
This study indicates that the semi-physiological model of chemotherapy-induced myelosuppression has potential to be used for prediction of the time-course of myelosuppression in future courses and is, thereby, a valuable step towards individually tailored anticancer drug therapy.
先前开发的化疗引起的骨髓抑制半生理模型在药物间显示出一致的系统相关参数和个体间可变性(IIV)估计。为了使剂量个体化有用,治疗过程中(偶发间变异性[IOV])相对于 IIV 的变异性相对较低是必需的。本研究的目的是评估和比较六种不同抗癌药物治疗中骨髓抑制模型参数的 IOV 和 IIV 的大小。
纳入了多疗程多西他赛、紫杉醇、表柔比星联合多西他赛、氟尿嘧啶联合表柔比星联合环磷酰胺、拓扑替康和依托泊苷治疗后的中性粒细胞计数。使用 NONMEM VI 拟合骨髓抑制模型数据。评估模型参数基线中性粒细胞计数(ANC0)、非有丝分裂成熟链通过的平均转运时间(平均转运时间[MTT])和描述浓度-效应关系的参数(斜率)的 IOV 是否具有统计学意义(P < 0.001)。
除拓扑替康外,所有研究数据集的 MTT 偶发间变异性均具有统计学意义,且变异性相似(8-16%CV)。多西他赛、拓扑替康和依托泊苷的斜率 IOV 具有统计学意义(19-39%CV)。对于所有六个研究数据集,骨髓抑制参数的 IOV 低于 IIV。没有迹象表明随着时间的推移,系统或药物敏感性相关参数在数据集之间发生系统性变化。
这项研究表明,化疗引起的骨髓抑制的半生理模型具有预测未来疗程骨髓抑制时间过程的潜力,因此是朝着个体化抗癌药物治疗迈出的有价值的一步。