用于个性化免疫疗法的自组装免疫特征骨肉瘤患者/PDX 衍生类器官模型和生物库

Haoran Mu, Yining Tao, Jinzeng Wang, Xin He, Qi Zhang, Weixi Chen, Bing Yao, Sen Ding, Xiyu Yang, Liyuan Zhang, Hongsheng Wang, Dongqing Zuo, Jiakang Shen, Mengxiong Sun, Haoyu Wang, Ming Jiao, Xinmeng Jin, Yinhui Jin, Youzhi Liang, Yuyan Gong, Winfred Mao, Qian Liu, Zhuoying Wang, Yu Lv, Jing Xu, Tao Zhang, Yuqin Yang, Jun Lin, Fred J. Asward, James D. Joseph, Mingxi Li, Zhengdong Cai, Wei Sun, Liu Yang, Yingqi Hua
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引用次数: 0

摘要

骨肉瘤(Osteosarcoma,OS)具有瘤内和瘤间异质性,使有效治疗策略的探索变得更加复杂。传统的体外和体内模型在继承骨肉瘤患者的生物学和基因组异质性方面受到限制,甚至在继承肿瘤微环境特征方面也是如此。目前的模型生成时间较长,导致 OS 药物开发进展缓慢,不适合临床快速开发。在此,我们介绍了患者/PDX衍生骨肉瘤器官组织(OS PD(X)Os)的生成和生物库方法,这些器官组织能再现配对OS患者的组织学、生物学和基因组特征。OS PD(X)Os可在体外快速生成,可靠性高,也可移植到免疫缺陷小鼠体内。我们进一步展示了一种具有免疫特征的OS PD(X)O(命名为iOS)模型及其用于测试个性化化疗反应、个性化免疫治疗策略和靶向药物开发的方法,例如在MTAP缺失的OS上测试新型PRMT5MTA抑制剂ARPN2169。我们的研究表明,iOS 模型保持了 OS 的许多典型特征,可迅速用于研究针对患者的治疗策略。此外,我们的生物库为 OS 的基础研究、转化研究甚至临床研究提供了丰富的资源。
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A Self-Assembling Immune-Featured Osteosarcoma Patient/PDX Derived Organoid Model and Biobank for Personalized Immune Therapy
Osteosarcoma (OS) exhibit intra- and inter- heterogeneity, complicating the exploration of effective therapeutic strategies. Traditional in vitro and in vivo models are limited in inheriting biological and genomic heterogeneities of OS patients, even in inheriting the features on tumor microenvironment. The prolonged generation time of current models makes the drug development of OS slow and is not suitable to clinically rapid timing. Here, we introduce methods for generating and biobanking patient/PDX-derived osteosarcoma organoids (OS PD(X)Os) that recapitulate the histological, biological and genomic features of their paired OS patients. OS PD(X)Os can be generated quickly with high reliability in vitro or transplanted to immunodeficient mice. We further demonstrate an immune-featured OS PD(X)O (named iOS) model and its method for testing personalized chemotherapy response, personalized immune therapeutic strategy and target drug development, such as a novel PRMT5MTA inhibitor ARPN2169 on MTAP-deleted OS. Our studies show that iOS models maintain many typical features of OS and could be rapidly employed to investigate patient-specific therapeutic strategies. Additionally, our biobank establishes a rich resource for basic, translational and even clinical OS researches.
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