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用于抗肿瘤药物疗效和心脏安全性预测研究的集成式人源器官芯片模型。

Integrated human organ-on-a-chip model for predictive studies of anti-tumor drug efficacy and cardiac safety.

机构信息

Department of Biomedical Engineering, Columbia University, New York, NY, USA.

出版信息

Lab Chip. 2020 Nov 24;20(23):4357-4372. doi: 10.1039/d0lc00424c.

Abstract

Traditional drug screening models are often unable to faithfully recapitulate human physiology in health and disease, motivating the development of microfluidic organs-on-a-chip (OOC) platforms that can mimic many aspects of human physiology and in the process alleviate many of the discrepancies between preclinical studies and clinical trials outcomes. Linsitinib, a novel anti-cancer drug, showed promising results in pre-clinical models of Ewing Sarcoma (ES), where it suppressed tumor growth. However, a Phase II clinical trial in several European centers with patients showed relapsed and/or refractory ES. We report an integrated, open setting, imaging and sampling accessible, polysulfone-based platform, featuring minimal hydrophobic compound binding. Two bioengineered human tissues - bone ES tumor and heart muscle - were cultured either in isolation or in the integrated platform and subjected to a clinically used linsitinib dosage. The measured anti-tumor efficacy and cardiotoxicity were compared with the results observed in the clinical trial. Only the engineered tumor tissues, and not monolayers, recapitulated the bone microenvironment pathways targeted by linsitinib, and the clinically-relevant differences in drug responses between non-metastatic and metastatic ES tumors. The responses of non-metastatic ES tumor tissues and heart muscle to linsitinib were much closer to those observed in the clinical trial for tissues cultured in an integrated setting than for tissues cultured in isolation. Drug treatment of isolated tissues resulted in significant decreases in tumor viability and cardiac function. Meanwhile, drug treatment in an integrated setting showed poor tumor response and less cardiotoxicity, which matched the results of the clinical trial. Overall, the integration of engineered human tumor and cardiac tissues in the integrated platform improved the predictive accuracy for both the direct and off-target effects of linsitinib. The proposed approach could be readily extended to other drugs and tissue systems.

摘要

传统的药物筛选模型通常无法忠实地再现健康和疾病中的人体生理学,这促使人们开发了微流控器官芯片 (OOC) 平台,该平台可以模拟许多人体生理学方面,并在这个过程中缓解了许多临床前研究与临床试验结果之间的差异。新型抗癌药物 Linsitinib 在尤因肉瘤 (ES) 的临床前模型中显示出良好的效果,它抑制了肿瘤的生长。然而,在几个欧洲中心对患者进行的 II 期临床试验显示,ES 复发和/或难治。我们报告了一种集成的、开放的设置,具有可成像和采样的特点,并且基片具有最小的疏水性化合物结合。两种生物工程人类组织 - 骨 ES 肿瘤和心肌 - 分别在单独培养或在集成平台中培养,并接受临床使用的 Linsitinib 剂量。测量的抗肿瘤功效和心脏毒性与临床试验中的结果进行了比较。只有工程化的肿瘤组织,而不是单层,重现了 Linsitinib 靶向的骨微环境途径,以及非转移性和转移性 ES 肿瘤之间药物反应的临床相关差异。非转移性 ES 肿瘤组织和心肌对 Linsitinib 的反应与在集成环境中培养的组织的临床试验更为接近,而非在单独培养的组织中。单独培养的组织中药物处理导致肿瘤活力和心脏功能显著降低。同时,在集成设置中进行药物处理显示出较差的肿瘤反应和较少的心脏毒性,这与临床试验的结果相符。总体而言,将工程化的人类肿瘤和心脏组织集成到集成平台中提高了 Linsitinib 的直接和非靶向作用的预测准确性。该方法可以很容易地扩展到其他药物和组织系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcb7/8092329/39c4e895a391/nihms-1686623-f0001.jpg

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