三维微流控模型用于通过跟踪树突状细胞对肿瘤细胞的行为来评估免疫疗法的疗效。

3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells.

机构信息

Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161, Rome, Italy.

Department of Civil Engineering and Informatic Science, University of Rome Tor Vergata, 00133, Rome, Italy.

出版信息

Sci Rep. 2017 Apr 24;7(1):1093. doi: 10.1038/s41598-017-01013-x.

Abstract

Immunotherapy efficacy relies on the crosstalk within the tumor microenvironment between cancer and dendritic cells (DCs) resulting in the induction of a potent and effective antitumor response. DCs have the specific role of recognizing cancer cells, taking up tumor antigens (Ags) and then migrating to lymph nodes for Ag (cross)-presentation to naïve T cells. Interferon-α-conditioned DCs (IFN-DCs) exhibit marked phagocytic activity and the special ability of inducing Ag-specific T-cell response. Here, we have developed a novel microfluidic platform recreating tightly interconnected cancer and immune systems with specific 3D environmental properties, for tracking human DC behaviour toward tumor cells. By combining our microfluidic platform with advanced microscopy and a revised cell tracking analysis algorithm, it was possible to evaluate the guided efficient motion of IFN-DCs toward drug-treated cancer cells and the succeeding phagocytosis events. Overall, this platform allowed the dissection of IFN-DC-cancer cell interactions within 3D tumor spaces, with the discovery of major underlying factors such as CXCR4 involvement and underscored its potential as an innovative tool to assess the efficacy of immunotherapeutic approaches.

摘要

免疫疗法的疗效依赖于肿瘤微环境中癌细胞与树突状细胞(DCs)之间的相互作用,从而诱导出有效的抗肿瘤反应。DCs 的特定作用是识别癌细胞,摄取肿瘤抗原(Ags),然后迁移到淋巴结进行 Ag(交叉)呈递给幼稚 T 细胞。干扰素-α 条件化的 DCs(IFN-DCs)表现出明显的吞噬活性和诱导 Ag 特异性 T 细胞反应的特殊能力。在这里,我们开发了一种新的微流控平台,该平台重现了紧密相互连接的癌症和免疫系统,具有特定的 3D 环境特性,用于跟踪人类 DC 对肿瘤细胞的行为。通过将我们的微流控平台与先进的显微镜和经过修订的细胞跟踪分析算法相结合,我们可以评估 IFN-DCs 对药物处理的癌细胞的有效导向运动和随后的吞噬作用。总的来说,该平台允许在 3D 肿瘤空间内剖析 IFN-DC-癌细胞相互作用,发现了主要的潜在因素,如 CXCR4 的参与,并强调了其作为评估免疫治疗方法疗效的创新工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fbf/5430848/71ab44b175a0/41598_2017_1013_Fig1_HTML.jpg

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