Jaccoulet Emmanuel, Smadja Claire, Prognon Patrice, Taverna Myriam
Institut Galien Paris Sud, Université Paris Sud, Châtenay-Malabry, France.
CNRS UMR 8612, Châtenay-Malabry, France.
Electrophoresis. 2015 Sep;36(17):2050-6. doi: 10.1002/elps.201400603. Epub 2015 Jun 29.
mAbs are widely used in cancer therapy. Their compounding, performed just before their administration to patients, is executed in a production unit of the hospital. Identification of these drugs, individually prepared in bags for infusion before patient administration, is of paramount importance to detect potential mistakes during compounding stage. A fast and reliable analytical method based on CZE combined to a cationic capillary coating (hexadimethrine bromide) was developed for identification of the most widely used compounded therapeutic for cancer therapy (bevacizumab, cetuximab, rituximab, and trastuzumab). Considering the high structural and physico-chemical similarities of these mAbs, an extensive optimization of the BGE composition has been performed. The addition of perchlorate ions and polysorbate in the BGE greatly increased the resolution. To validate the method, an internal standard was used and the relative migration times (RTm) were estimated. Very satisfactory RSDs of the RTm for rituximab (0.76%), cetuximab (0.46%), bevacizumab (0.31%), and trastuzumab (0.60%) were obtained. The intraday and interday RSD of the method were less than 0.32 and 1.3%, respectively for RTm. Significant differences between theses RTms have been demonstrated allowing mAbs identification. Finally, accurate mAbs identification has been demonstrated by a blind test.
单克隆抗体广泛应用于癌症治疗。它们在给患者使用前的配制工作在医院的生产单位进行。这些药物在给患者使用前单独装在输液袋中配制,对其进行识别对于在配制阶段检测潜在错误至关重要。开发了一种基于毛细管区带电泳(CZE)并结合阳离子毛细管涂层(溴化己二甲铵)的快速可靠分析方法,用于识别癌症治疗中最常用的配制治疗药物(贝伐单抗、西妥昔单抗、利妥昔单抗和曲妥珠单抗)。考虑到这些单克隆抗体在结构和物理化学性质上的高度相似性,对背景电解质(BGE)的组成进行了广泛优化。在BGE中添加高氯酸根离子和聚山梨酯可大大提高分离度。为验证该方法,使用了内标并估计了相对迁移时间(RTm)。利妥昔单抗(0.76%)、西妥昔单抗(0.46%)、贝伐单抗(0.31%)和曲妥珠单抗(0.60%)的RTm的相对标准偏差(RSD)非常令人满意。该方法的日内和日间RSD对于RTm分别小于0.32%和1.3%。已证明这些RTm之间存在显著差异,从而能够识别单克隆抗体。最后,通过盲法测试证明了单克隆抗体的准确识别。