Hazin John, Moldenhauer Gerhard, Altevogt Peter, Brady Nathan R
Department of Translational Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Surgery, Medical Faculty, University of Heidelberg, Heidelberg, Germany; Systems Biology of Cell Death Mechanisms, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Department of Translational Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
J Immunol Methods. 2015 Aug;423:70-7. doi: 10.1016/j.jim.2015.04.024. Epub 2015 May 9.
Monoclonal antibodies (mAbs) have emerged as a promising tool for cancer therapy. Differing approaches utilize mAbs to either deliver a drug to the tumor cells or to modulate the host's immune system to mediate tumor kill. The rate by which a therapeutic antibody is being internalized by tumor cells is a decisive feature for choosing the appropriate treatment strategy. We herein present a novel method to effectively quantitate antibody uptake of tumor cells by using image-based flow cytometry, which combines image analysis with high throughput of sample numbers and sample size. The use of this method is established by determining uptake rate of an anti-EpCAM antibody (HEA125), from single cell measurements of plasma membrane versus internalized antibody, in conjunction with inhibitors of endocytosis. The method is then applied to two mAbs (L1-9.3, L1-OV52.24) targeting the neural cell adhesion molecule L1 (L1CAM) at two different epitopes. Based on median cell population responses, we find that mAb L1-OV52.24 is rapidly internalized by the ovarian carcinoma cell line SKOV3ip while L1 mAb 9.3 is mainly retained at the cell surface. These findings suggest the L1 mAb OV52.24 as a candidate to be further developed for drug-delivery to cancer cells, while L1-9.3 may be optimized to tag the tumor cells and stimulate immunogenic cancer cell killing. Furthermore, when analyzing cell-to-cell variability, we observed L1 mAb OV52.24 rapidly transition into a subpopulation with high-internalization capacity. In summary, this novel high-content method for measuring antibody internalization rate provides a high level of accuracy and sensitivity for cell population measurements and reveals further biologically relevant information when taking into account cellular heterogeneity.
单克隆抗体(mAb)已成为一种很有前景的癌症治疗工具。不同的方法利用单克隆抗体将药物递送至肿瘤细胞或调节宿主免疫系统以介导肿瘤杀伤。治疗性抗体被肿瘤细胞内化的速率是选择合适治疗策略的决定性特征。我们在此提出一种新方法,通过基于图像的流式细胞术有效地定量肿瘤细胞对抗体的摄取,该方法将图像分析与高通量的样本数量和样本大小相结合。通过测定抗EpCAM抗体(HEA125)的摄取速率来建立该方法的应用,该摄取速率来自质膜与内化抗体的单细胞测量,并结合内吞作用抑制剂。然后将该方法应用于靶向神经细胞粘附分子L1(L1CAM)两个不同表位的两种单克隆抗体(L1-9.3、L1-OV52.24)。基于细胞群体的中位反应,我们发现单克隆抗体L1-OV52.24被卵巢癌细胞系SKOV3ip快速内化,而L1单克隆抗体9.3主要保留在细胞表面。这些发现表明L1单克隆抗体OV52.24作为一种将药物递送至癌细胞的进一步开发候选物,而L1-9.3可能被优化以标记肿瘤细胞并刺激免疫原性癌细胞杀伤。此外,在分析细胞间变异性时,我们观察到L1单克隆抗体OV52.24迅速转变为具有高内化能力的亚群。总之,这种用于测量抗体内化率的新型高内涵方法为细胞群体测量提供了高水平的准确性和灵敏度,并在考虑细胞异质性时揭示了更多生物学相关信息。