BACKGROUND AND OBJECTIVES:Olaratumab is a recombinant human monoclonal antibody that binds to platelet-derived growth factor receptor-α (PDGFRα). In a randomized phase II study, olaratumab plus doxorubicin met its predefined primary endpoint for progression-free survival and achieved a highly significant improvement in overall survival versus doxorubicin alone in patients with advanced or metastatic soft tissue sarcoma (STS). In this study, we characterize the pharmacokinetics (PKs) of olaratumab in a cancer patient population. METHODS:Olaratumab was tested at 15 or 20 mg/kg in four phase II studies (in patients with nonsmall cell lung cancer, glioblastoma multiforme, STS, and gastrointestinal stromal tumors) as a single agent or in combination with chemotherapy. PK sampling was performed to measure olaratumab serum levels. PK data were analyzed by nonlinear mixed-effect modeling techniques using NONMEM®. RESULTS:The PKs of olaratumab were best described by a two-compartment PK model with linear clearance (CL). Patient body weight was found to have a significant effect on both CL and central volume of distribution (V 1), whereas tumor size significantly affected CL. A small subset of patients developed treatment-emergent anti-drug antibodies (TE-ADAs); however, TE-ADAs did not have any effect on CL or PK time course of olaratumab. There was no difference in the PKs of olaratumab between patients who received olaratumab as a single agent or in combination with chemotherapy. CONCLUSION:The PKs of olaratumab were best described by a model with linear disposition. Patient body weight and tumor size were found to be significant covariates. The PKs of olaratumab were not affected by immunogenicity or chemotherapeutic agents.

译文

背景与目的:Olaratumab是一种重组人单克隆抗体,可与血小板衍生的生长因子受体-α(PDGFRα)结合。在一项随机的II期研究中,奥拉单抗加阿霉素达到了无进展生存的预定主要终点,与晚期或转移性软组织肉瘤(STS)患者相比,阿霉素的总生存率有了显着提高。在这项研究中,我们表征了olaratumab在癌症患者人群中的药代动力学(PKs)。
方法:奥拉单抗在四项II期研究(非小细胞肺癌,多形性胶质母细胞瘤,STS和胃肠道间质瘤患者)中以15或20 mg / kg的浓度进行了单药或联合化疗的测试。进行PK采样以测量olaratumab血清水平。使用NONMEM®通过非线性混合效应建模技术分析PK数据。
结果:用具有线性清除率(CL)的两室PK模型可以最好地描述olaratumab的PK。发现患者体重对CL和中心分布体积(V 1)均具有显着影响,而肿瘤大小显着影响CL。一小部分患者发展了治疗性抗药物抗体(TE-ADAs);但是,TE-ADAs对olaratumab的CL或PK时间进程没有任何影响。在单药或联合化疗的情况下,接受olaratumab治疗的患者中olaratumab的PKs没有差异。
结论:用线性处置模型可以最好地描述olaratumab的PKs。发现患者体重和肿瘤大小是显着的协变量。 Olaratumab的PKs不受免疫原性或化学治疗剂的影响。

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