Modelling glioma invasion using 3D bioprinting and scaffold-free 3D culture

胶质瘤 三维细胞培养 脚手架 类有机物 薄壁组织 祖细胞 神经干细胞 细胞培养 3D生物打印 球体 病理 人脑 癌细胞 生物 癌症研究 神经科学 医学 干细胞 癌症 生物医学工程 细胞生物学 组织工程 内科学 遗传学
作者
Derek M. van Pel,Kaori Harada,Dandan Song,Christian C. Naus,Wun Chey Sin
出处
期刊:Journal of Cell Communication and Signaling [Springer Science+Business Media]
卷期号:12 (4): 723-730 被引量:63
标识
DOI:10.1007/s12079-018-0469-z
摘要

Glioma is a highly aggressive form of brain cancer, with some subtypes having 5-year survival rates of less than 5%. Tumour cell invasion into the surrounding parenchyma seems to be the primary driver of these poor outcomes, as most gliomas recur within 2 cm of the original surgically-resected tumour. Many current approaches to the development of anticancer therapy attempt to target genetic weaknesses in a particular cancer, but may not take into account the microenvironment experienced by a tumour and the patient-specific genetic differences in susceptibility to treatment. Here we demonstrate the use of complementary approaches, 3D bioprinting and scaffold-free 3D tissue culture, to examine the invasion of glioma cells into neural-like tissue with 3D confocal microscopy. We found that, while both approaches were successful, the use of 3D tissue culture for organoid development offers the advantage of broad accessibility. As a proof-of-concept of our approach, we developed a system in which we could model the invasion of human glioma cells into mouse neural progenitor cell-derived spheroids. We show that we can follow invasion of human tumour cells using cell-tracking dyes and 3D laser scanning confocal microscopy, both in real time and in fixed samples. We validated these results using conventional cryosectioning. Our scaffold-free 3D approach has broad applicability, as we were easily able to examine invasion using different neural progenitor cell lines, thus mimicking differences that might be observed in patient brain tissue. These results, once applied to iPSC-derived cerebral organoids that incorporate the somatic genetic variability of patients, offer the promise of truly personalized treatments for brain cancer.
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