Department of Neurosurgery, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Int J Mol Sci. 2021 Oct 3;22(19):10720. doi: 10.3390/ijms221910720.
Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this study, we screened a library of 22 anti-invasive compounds (i.e., NF-kB, GSK-3-B, COX-2, and tubulin inhibitors) using glioblastoma U-251 MG cell spheroids. We evaluated toxicity and invasion inhibition using a 3D Matrigel invasion assay. We next selected three compounds that inhibited invasion and screened them in patient-derived glioblastoma organoids (GBOs). We developed a platform using available macros for FIJI/ImageJ to quantify invasion from the outer margin of organoids. Our data demonstrated that a high-throughput invasion screening can be done using both an established cell line and patient-derived 3D model systems. Tubulin inhibitor compounds had the best efficacy with U-251 MG cells, however, in ex vivo patient organoids the results were highly variable. Our results indicate that the efficacy of compounds is highly related to patient intra and inter-tumor heterogeneity. These results indicate that such models can be used to evaluate personal oncology therapeutic strategies.
胶质母细胞瘤(GBM)对治疗具有高度抗性,并且向周围大脑浸润是导致即使经过手术切除后仍会复发的癌症特征。随着精准医学的出现,患者来源的 3D 系统被认为是潜在强大的 GBM 临床前模型。在这项研究中,我们使用胶质母细胞瘤 U-251 MG 细胞球筛选了 22 种抗侵袭化合物(即 NF-kB、GSK-3-B、COX-2 和微管抑制剂)文库。我们使用 3D Matrigel 侵袭测定法评估了毒性和侵袭抑制作用。接下来,我们选择了三种抑制侵袭的化合物,并在患者来源的胶质母细胞瘤类器官(GBO)中对它们进行了筛选。我们使用可用的 FIJI/ImageJ 宏开发了一个平台来量化类器官外边缘的侵袭。我们的数据表明,使用已建立的细胞系和患者来源的 3D 模型系统可以进行高通量侵袭筛选。微管抑制剂化合物对 U-251 MG 细胞的疗效最好,但是在体外患者类器官中结果差异很大。我们的结果表明,化合物的疗效与患者的肿瘤内和肿瘤间异质性高度相关。这些结果表明,此类模型可用于评估个体化肿瘤治疗策略。