Marino Attilio, Battaglini Matteo, Carmignani Alessio, Pignatelli Francesca, De Pasquale Daniele, Tricinci Omar, Ciofani Gianni
Istituto Italiano di Tecnologia, Smart Bio-Interfaces, Viale Rinaldo Piaggio 34, 56025 Pontedera, Italy.
APL Bioeng. 2023 Jul 24;7(3):036103. doi: 10.1063/5.0155037. eCollection 2023 Sep.
In recent years, the need for highly predictive brain cancer models to test new anticancer compounds and experimental therapeutic approaches has significantly increased. Realistic brain tumor-on-a-chip platforms would allow a more accurate selection of valid candidate drugs and nanomedicines, therefore alleviating the economic and ethical issues of unsuccessful studies . Here, we present a multi-functional self-assembled brain tumor-on-a-chip model characterized by 3D glioma cultures interfaced both to nonmalignant brain cells of the peritumoral niche and to a 3D-real-scale blood-brain barrier (BBB) microfluidic system. This platform allowed us to screen multiple features, such as BBB crossing capabilities, apoptotic efficacy against GBM cells, and side effects on nonmalignant brain cells of a promising anticancer drug, nutlin-3a, which is fundamental for the treatment of brain cancer.
近年来,对用于测试新型抗癌化合物和实验性治疗方法的高度预测性脑癌模型的需求显著增加。现实的芯片上脑肿瘤平台将允许更准确地选择有效的候选药物和纳米药物,从而缓解不成功研究的经济和伦理问题。在此,我们展示了一种多功能自组装芯片上脑肿瘤模型,其特征在于3D胶质瘤培养物与肿瘤周围微环境的非恶性脑细胞以及3D真实比例的血脑屏障(BBB)微流控系统相连。该平台使我们能够筛选多种特性,如BBB穿越能力、对胶质母细胞瘤(GBM)细胞的凋亡效力以及一种有前景的抗癌药物nutlin-3a对非恶性脑细胞的副作用,nutlin-3a对脑癌治疗至关重要。