Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd. Suwon, South Korea.
Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, South Korea.
Biomaterials. 2023 May;296:122087. doi: 10.1016/j.biomaterials.2023.122087. Epub 2023 Mar 7.
The development of organoid culture technologies has triggered industrial interest in ex vivo drug test-guided clinical response prediction for precision cancer therapy. The three-dimensional culture encapsulated with basement membrane (BM) components is extremely important in establishing ex vivo organoids and drug sensitivity tests because the BM components confer essential structures resembling tumor histopathology. Although numerous studies have demonstrated three-dimensional culture-based drug screening methods, establishing a large-scale drug-screening platform with matrix-encapsulated tumor cells is challenging because the arrangement of microspots of a matrix-cell droplet onto each well of a microwell plate is inconsistent and difficult to standardize. In addition, relatively low scales and lack of reproducibility discourage the application of three-dimensional organoid-based drug screening data for precision treatment or drug discovery. To overcome these limitations, we manufactured an automated organospotter-integrated high-throughput organo-on-pillar (high-TOP) drug-screening platform. Our system is compatible with various extracellular matrices, including BM extract, Matrigel, collagen, and hydrogel. In addition, it can be readily utilized for high-content analyses by simply exchanging the bottom plates without disrupting the domes. Our system demonstrated considerable robustness, consistency, reproducibility, and biological relevancy in three-dimensional drug sensitivity analyses using Matrigel-encapsulated ovarian cancer cell lines. We also demonstrated proof-of-concept cases representing the clinical feasibility of high-TOP-assisted ex vivo drug tests linked to clinical chemo-response in ovarian cancer patients. In conclusion, our platform provides an automated and standardized method for ex vivo drug-sensitivity-guided clinical response prediction, suggesting effective chemotherapy regimens for patients with cancer.
类器官培养技术的发展引发了业界的兴趣,希望将体外药物测试指导的临床反应预测应用于精准癌症治疗。用基底膜 (BM) 成分包裹的三维培养对于建立体外类器官和药物敏感性测试非常重要,因为 BM 成分赋予了与肿瘤组织病理学相似的基本结构。尽管许多研究已经证明了基于三维培养的药物筛选方法,但建立一个基于基质包被肿瘤细胞的大规模药物筛选平台具有挑战性,因为基质-细胞液滴的微点在微孔板的每个孔中的排列不一致且难以标准化。此外,相对较低的规模和缺乏可重复性阻碍了基于三维类器官的药物筛选数据在精准治疗或药物发现中的应用。为了克服这些限制,我们制造了一种自动化类器官点样仪集成高通量类器官上柱(high-TOP)药物筛选平台。我们的系统与各种细胞外基质兼容,包括 BM 提取物、Matrigel、胶原和水凝胶。此外,通过简单地更换底板块而不破坏穹顶,它可以很容易地用于高内涵分析。我们的系统在使用 Matrigel 包被的卵巢癌细胞系的三维药物敏感性分析中表现出了相当的稳健性、一致性、可重复性和生物学相关性。我们还展示了代表高-TOP 辅助体外药物测试与卵巢癌患者临床化疗反应相关的临床可行性的概念验证案例。总之,我们的平台为体外药物敏感性指导的临床反应预测提供了一种自动化和标准化的方法,为癌症患者提供了有效的化疗方案。