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构建患者来源的肿瘤模型以评估抗癌药物和癌症免疫疗法。

Construction of patient-derived tumor models to evaluate anticancer agents and cancer immunotherapy.

作者信息

Takahashi Nobuhiko, Higa Arisa, Hiyama Gen, Tamura Hirosumi, Hoshi Hirotaka, Dobashi Yuu, Katahira Kiyoaki, Ishihara Hiroya, Takagi Kosuke, Goda Kazuhito, Okabe Naoyuki, Muto Satoshi, Suzuki Hiroyuki, Shimomura Kenju, Watanabe Shinya, Takagi Motoki

机构信息

Medical-Industrial Translational Research Center, Fukushima Medical University, Fukushima, Fukushima 960-1295, Japan.

Department of Bioregulation and Pharmacological Medicine, Fukushima Medical University, Fukushima, Fukushima 960-1295, Japan.

出版信息

Oncol Lett. 2021 May;21(5):406. doi: 10.3892/ol.2021.12667. Epub 2021 Mar 22.

DOI:10.3892/ol.2021.12667
PMID:33841567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8020396/
Abstract

An assay system using patient-derived tumor models represents a promising preclinical cancer model that replicates the disease better than traditional cell culture models. Patient-derived tumor organoid (PDO) and patient-derived tumor xenograft (PDX) models have been previously established from different types of human tumors to recapitulate accurately and efficiently their tissue architecture and function. However, these models have low throughput and are challenging to construct. Thus, the present study aimed to establish a simple high-throughput assay system using PDO and PDX models. Furthermore, the current study aimed to evaluate different classes of anticancer drugs, including chemotherapeutic, molecular targeted and antibody drugs, using PDO and PDX models. First, an high-throughput assay system was constructed using PDO and PDX established from solid and hematopoietic tumors cultured in 384-well plates to evaluate anticancer agents. In addition, an evaluation system of the immune response was developed using PDO and PDX. Novel cancer immunotherapeutic agents with marked efficacy have been used against various types of tumor. Thus, there is an urgent need for functional potency assays that can simulate the complex interaction of immune cells with tumor cells and can rapidly test the efficacy of different immunotherapies or antibody drugs. An evaluation system for the antibody-dependent cellular cytotoxic activity of anti-epidermal growth factor receptor antibody and the cytotoxic activity of activated lymphocytes, such as cytotoxic T lymphocytes and natural killer cells, was constructed. Moreover, immune response assay systems with bispecific T-cell engagers were developed using effector cells. The present results demonstrated that assay systems using PDO and PDX may be suitable for evaluating anticancer agents and immunotherapy potency with high reproducibility and simplicity.

摘要

使用患者来源肿瘤模型的检测系统是一种很有前景的临床前癌症模型,它比传统细胞培养模型能更好地复制疾病。先前已从不同类型的人类肿瘤中建立了患者来源的肿瘤类器官(PDO)和患者来源的肿瘤异种移植(PDX)模型,以准确而高效地重现其组织结构和功能。然而,这些模型通量低且构建具有挑战性。因此,本研究旨在使用PDO和PDX模型建立一个简单的高通量检测系统。此外,本研究旨在使用PDO和PDX模型评估不同类别的抗癌药物,包括化疗药物、分子靶向药物和抗体药物。首先,构建了一个高通量检测系统,使用从培养在384孔板中的实体瘤和造血肿瘤建立的PDO和PDX来评估抗癌药物。此外,还利用PDO和PDX开发了一种免疫反应评估系统。具有显著疗效的新型癌症免疫治疗药物已被用于治疗各种类型的肿瘤。因此,迫切需要能够模拟免疫细胞与肿瘤细胞复杂相互作用并能快速测试不同免疫疗法或抗体药物疗效的功能效价检测方法。构建了抗表皮生长因子受体抗体的抗体依赖性细胞毒性活性以及细胞毒性T淋巴细胞和自然杀伤细胞等活化淋巴细胞的细胞毒性活性的评估系统。此外,利用效应细胞开发了具有双特异性T细胞衔接器的免疫反应检测系统。目前的结果表明,使用PDO和PDX的检测系统可能适合以高重现性和简单性评估抗癌药物和免疫治疗效价。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/176da4a902a0/ol-21-05-12667-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/1cc6ac3f0dc0/ol-21-05-12667-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/ed6ee6123bad/ol-21-05-12667-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/a324fe095014/ol-21-05-12667-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/d2a0dbd08545/ol-21-05-12667-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/176da4a902a0/ol-21-05-12667-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/1cc6ac3f0dc0/ol-21-05-12667-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/ed6ee6123bad/ol-21-05-12667-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/a324fe095014/ol-21-05-12667-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/d2a0dbd08545/ol-21-05-12667-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b7/8020396/176da4a902a0/ol-21-05-12667-g04.jpg

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