Xie Zuorun, Chen Maosong, Lian Jiangfang, Wang Hongcai, Ma Jingyun
The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Front Oncol. 2023 Jul 12;13:1183059. doi: 10.3389/fonc.2023.1183059. eCollection 2023.
Glioblastoma (GBM) is the most malignant type of primary intracranial tumor with a median overall survival of only 14 months, a very poor prognosis and a recurrence rate of 90%. It is difficult to reflect the complex structure and function of the GBM microenvironment using traditional models. GBM-on-a-chip platforms can integrate biological or chemical functional units of a tumor into a chip, mimicking functions of GBM cells. This technology has shown great potential for applications in personalized precision medicine and GBM immunotherapy. In recent years, there have been efforts to construct GBM-on-a-chip models based on microfluidics and bioprinting. A number of research teams have begun to use GBM-on-a-chip models for the investigation of GBM progression mechanisms, drug candidates, and therapeutic approaches. This review first briefly discusses the use of microfluidics and bioprinting technologies for GBM-on-a-chip construction. Second, we classify non-surgical treatments for GBM in pre-clinical research into three categories (chemotherapy, immunotherapy and other therapies) and focus on the use of GBM-on-a-chip in research for each category. Last, we demonstrate that organ-on-a-chip technology in therapeutic field is still in its initial stage and provide future perspectives for research directions in the field.
胶质母细胞瘤(GBM)是原发性颅内肿瘤中最恶性的类型,中位总生存期仅为14个月,预后极差,复发率达90%。使用传统模型难以反映GBM微环境的复杂结构和功能。GBM芯片平台可将肿瘤的生物或化学功能单元整合到芯片中,模拟GBM细胞的功能。该技术在个性化精准医学和GBM免疫治疗应用中显示出巨大潜力。近年来,人们致力于构建基于微流体和生物打印的GBM芯片模型。一些研究团队已开始使用GBM芯片模型来研究GBM的进展机制、候选药物和治疗方法。本综述首先简要讨论微流体和生物打印技术在构建GBM芯片方面的应用。其次,我们将临床前研究中GBM的非手术治疗分为三类(化疗、免疫治疗和其他治疗),并重点关注GBM芯片在各类研究中的应用。最后,我们表明治疗领域的芯片器官技术仍处于初始阶段,并为该领域的研究方向提供了未来展望。