Department of Medical Chemistry, Faculty of Medicine, University of Debrecen; Doctoral School of Molecular Medicine, University of Debrecen.
Department of Medical Chemistry, Faculty of Medicine, University of Debrecen; National Academy of Scientist Education, University of Debrecen.
J Vis Exp. 2023 Aug 18(198). doi: 10.3791/64485.
Immunotherapy with antigen-specific antibodies or immune checkpoint inhibitors has revolutionized the therapy of breast cancer. Breast cancer cells expressing the epidermal growth factor receptor HER2 can be targeted by the anti-HER-2 antibody trastuzumab. Antibody-dependent cellular cytotoxicity (ADCC) is an important mechanism implicated in the antitumor action of HER-2. Trastuzumab bound to cancer cells can be recognized by the Fc receptors of ADCC effector cells (e.g., natural killer (NK) cells, macrophages, and granulocytes), triggering the cytotoxic activity of these immune cells leading to cancer cell death. We set out to develop an image-based assay for the quantification of ADCC to identify novel ADCC modulator compounds by high-content screening. In the assay, HER2 overexpressing JIMT-1 breast cancer cells are co-cultured with NK-92 cells in the presence of trastuzumab, and target cell death is quantified by automated microscopy and quantitative image analysis. Target cells are distinguished from effector cells based on their EGFP fluorescence. We show how compound libraries can be tested in the assay to identify ADCC modulator drugs. For this purpose, a compound library test plate was set up using randomly selected fine chemicals off the lab shelf. Three microtubule destabilizing compounds (colchicine, vincristine, podophyllotoxin) expected to interfere with NK cell migration and degranulation were also included in the test library. The test screen identified all three positive control compounds as hits proving the suitability of the method to identify ADCC-modifying drugs in a chemical library. With this assay, compound library screens can be performed to identify ADCC-enhancing compounds that could be used as adjuvant therapeutic agents for the treatment of patients receiving anticancer immunotherapies. In addition, the method can also be used to identify any undesirable ADCC-inhibiting side effects of therapeutic drugs taken by cancer patients for different indications.
免疫疗法用抗原特异性抗体或免疫检查点抑制剂已经彻底改变了乳腺癌的治疗方法。表达表皮生长因子受体 HER2 的乳腺癌细胞可以被抗 HER-2 抗体曲妥珠单抗靶向。抗体依赖性细胞毒性 (ADCC) 是参与 HER2 抗肿瘤作用的重要机制。与癌细胞结合的曲妥珠单抗可以被 ADCC 效应细胞(如自然杀伤 (NK) 细胞、巨噬细胞和粒细胞)的 Fc 受体识别,触发这些免疫细胞的细胞毒性活性,导致癌细胞死亡。我们着手开发一种基于图像的 ADCC 定量测定法,通过高通量筛选来鉴定新型 ADCC 调节剂化合物。在该测定法中,过表达 HER2 的 JIMT-1 乳腺癌细胞与 NK-92 细胞在曲妥珠单抗存在的情况下共培养,并通过自动显微镜和定量图像分析来定量靶细胞死亡。基于 EGFP 荧光区分靶细胞和效应细胞。我们展示了如何在该测定法中测试化合物库以鉴定 ADCC 调节剂药物。为此,使用从实验室架子上随机选择的精细化学品建立了化合物文库测试板。还包括三种微管不稳定化合物(秋水仙碱、长春新碱、鬼臼毒素),预计它们会干扰 NK 细胞迁移和脱颗粒。测试筛选鉴定出所有三种阳性对照化合物均为命中化合物,证明该方法适用于在化学文库中鉴定 ADCC 修饰药物。通过该测定法,可以进行化合物文库筛选,以鉴定增强 ADCC 的化合物,这些化合物可用作接受抗癌免疫疗法的患者的辅助治疗剂。此外,该方法还可用于识别癌症患者因不同适应症而服用的治疗药物的任何不良 ADCC 抑制副作用。