1449:利用3Din体外肿瘤模型的高含量成像和分析来评估免疫靶向治疗疗效的活细胞成像方法

I. Agarkova, Mahomi Suzuki, S. Strebel, A. Wolf, Judith Wardwell-Swanson, F. Chiovaro
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引用次数: 0

摘要

背景:免疫疗法已经彻底改变了癌症研究,然而迄今为止有限的临床成功强调了对新的治疗靶点的需求。由于离体动物平台只能部分概括肿瘤固有特征和细胞相互作用的局限性,新靶点的评估一直具有挑战性。在这里,我们提出了一种活细胞成像方法,用于评估免疫靶向治疗的疗效,该方法使用3D体外肿瘤学平台结合高含量成像和分析(HCA)技术。本研究展示了免疫靶向药物对外周血单个核细胞(PBMCs)肿瘤浸润和杀伤的影响是如何通过高含量终点可视化和量化的。目的:开发和测试一种强大的活细胞成像方法来评估免疫调节癌症治疗的疗效。材料与方法:用GFP-A549细胞与真皮成纤维细胞和pbmc共培养,制备肺癌细胞系模型。肺、乳腺和黑色素瘤来源的PDX细胞悬液与癌症相关成纤维细胞(CAFs)自聚集,并用活细胞染料标记,以特异性监测肿瘤细胞的活力。采用自动分期荧光显微镜或共聚焦HCA仪器测量肿瘤模型大小,评价肿瘤杀伤活性和t细胞效应功能。通过多重细胞因子面板测量炎症细胞因子IL-6、TNF、IFNγ和GM-CSF的释放。CD3+细胞荧光染色定量T细胞浸润肿瘤模型。为了产生促炎性肿瘤微环境,pbmc在与细胞因子或抗cd3 /CD28共培养之前被刺激。我们实时(56个时间点)和三维监测免疫细胞对肿瘤的攻击,没有任何可识别的光毒性。使用细胞质心工具,我们绘制了属于每个群体的单个细胞的物理位置。最后,我们从单个图像堆栈中计算肿瘤和免疫细胞体积,以评估肿瘤杀伤和免疫细胞的增殖/浸润。结果:我们对肿瘤-免疫细胞共培养的实时共聚焦分析显示,细胞因子或CD3/CD28激活PBMCs可增加免疫细胞的增殖/浸润,增强肿瘤杀伤。结论:促炎肿瘤模型与我们新颖的、高含量的成像分析终点相结合,为临床前转化研究提供了一个通用的解决方案,并为免疫靶向治疗药物的高含量筛选和涉及工程T细胞(如CAR-T)的I-O研究以及测试免疫调节剂(如双特异性抗体和免疫检查点抑制剂)提供了一个有前途的方法。引文格式:Irina Agarkova, Mahomi Suzuki, Silvan Strebel, Armin Wolf, Judith Wardwell-Swanson, Francesca Chiovaro。一种利用体外三维肿瘤模型的高含量成像和分析来评估免疫靶向治疗疗效的活细胞成像方法[摘要]。见:美国癌症研究协会2021年年会论文集;2021年4月10日至15日和5月17日至21日。费城(PA): AACR;癌症杂志,2021;81(13 -增刊):1449。
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Abstract 1449: A live-cell imaging approach for assessing efficacy of immune-targeting therapies using high content imaging and analysis of 3Din vitrotumor models
Background: Immunotherapy has revolutionized cancer research, however limited clinical success to date underscores the need for novel therapeutic targets. Assessment of new targets has been challenging due to limitations of ex vivo animal platforms that only partially recapitulate tumor-intrinsic features and cell interactions. Here, we present a live-cell imaging approach for assessing efficacy of immune-targeting therapies using a 3D in vitro oncology platform in combination with high-content imaging and analysis (HCA) techniques. This study shows how effects of immune-targeting agents on tumor infiltration and killing by peripheral blood mononuclear cells (PBMCs) can be visualized and quantified with high-content endpoints. Aim: To develop and test a robust live-cell-imaging methodology for assessing efficacy of immuno-modulatory cancer therapies. Material & Methods: Lung carcinoma cell-line models were generated using GFP-A549 cells in coculture with dermal fibroblasts and PBMCs. PDX cell suspensions of lung, breast and melanoma origin were self-aggregated with cancer-associated fibroblasts (CAFs) and labeled with live-cell dye for specific monitoring of tumor cell viability. Tumor killing activity and T-cell effector function were evaluated by measuring tumor model size using automatic stage fluorescence microscopy or confocal HCA instrument. Release of inflammatory cytokines IL-6, TNF, IFNγ and GM-CSF was measured with a multiplex cytokine panel. T cell infiltration into tumor models was quantified using fluorescent staining of CD3+ cells. To generate a pro-inflammatory tumor microenvironment, PBMCs were stimulated prior to coculture either with cytokines or anti-CD3/CD28. We monitored immune cell attack on tumors in realtime (56 timepoints) and in 3 dimensions without any discernable phototoxicity. Using cell centroid tools, we mapped physical locations of individual cells belonging to each population. Finally, we calculated tumor and immune cell volumes from individual image stacks to evaluate tumor killing and proliferation/infiltration of immune cells. Results: Our realtime confocal analysis of tumor-immune cell cocultures showed activation of PBMCs with either cytokines or CD3/CD28 increased proliferation/infiltration of immune cells and enhanced tumor killing. Conclusion: Proinflammatory tumor models combined with our novel, high-content imaging analysis endpoints offer a versatile solution for preclinical translational research and a promising approach for high-content screening of immune-targeting therapeutic agents and I-O studies involving engineered T cells (e.g., CAR-T) as well as for testing immunomodulatory agents, such as bispecific antibodies and immune checkpoint inhibitors. Citation Format: Irina Agarkova, Mahomi Suzuki, Silvan Strebel, Armin Wolf, Judith Wardwell-Swanson, Francesca Chiovaro. A live-cell imaging approach for assessing efficacy of immune-targeting therapies using high content imaging and analysis of 3D in vitro tumor models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1449.
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