Maity Surjendu, Bhuyan Tamanna, Jewell Christopher, Kawakita Satoru, Sharma Saurabh, Nguyen Huu Tuan, Hassani Najafabadi Alireza, Ermis Menekse, Falcone Natashya, Chen Junjie, Mandal Kalpana, Khorsandi Danial, Yilgor Can, Choroomi Auveen, Torres Emily, Mecwan Marvin, John Johnson V, Akbari Mohsen, Wang Zhaohui, Moniz-Garcia Diogo, Quiñones-Hinojosa Alfredo, Jucaud Vadim, Dokmeci Mehmet Remzi, Khademhosseini Ali
Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA.
Department of Orthopedic Surgery, Duke University School of Medicine, Duke University, Durham, NC, 27705, USA.
Small. 2025 Jan;21(1):e2405511. doi: 10.1002/smll.202405511. Epub 2024 Nov 13.
Glioblastoma (GBM) is an aggressive form of cancer, comprising ≈80% of malignant brain tumors. However, there are no effective treatments for GBM due to its heterogeneity and the presence of the blood-brain barrier (BBB), which restricts the delivery of therapeutics to the brain. Despite in vitro models contributing to the understanding of GBM, conventional 2D models oversimplify the complex tumor microenvironment. Organ-on-a-chip (OoC) models have emerged as promising platforms that recapitulate human tissue physiology, enabling disease modeling, drug screening, and personalized medicine. There is a sudden increase in GBM-on-a-chip models that can significantly advance the knowledge of GBM etiology and revolutionize drug development by reducing animal testing and enhancing translation to the clinic. In this review, an overview of GBM-on-a-chip models and their applications is reported for drug screening and discussed current challenges and potential future directions for GBM-on-a-chip models.
胶质母细胞瘤(GBM)是一种侵袭性癌症,约占恶性脑肿瘤的80%。然而,由于其异质性和血脑屏障(BBB)的存在,GBM尚无有效的治疗方法,血脑屏障限制了治疗药物向脑部的递送。尽管体外模型有助于对GBM的理解,但传统的二维模型过度简化了复杂的肿瘤微环境。芯片器官(OoC)模型已成为有前景的平台,可重现人体组织生理学,实现疾病建模、药物筛选和个性化医疗。能够显著推进GBM病因学知识并通过减少动物实验和加强向临床转化来彻底改变药物研发的GBM芯片模型突然增多。在本综述中,报告了GBM芯片模型及其在药物筛选方面的应用概述,并讨论了GBM芯片模型当前面临的挑战和潜在的未来发展方向。