Digital Health Center, Berlin Institute of Health and Charité, Berlin, Germany.
Division of Theoretical Bioinformatics, German Cancer Research Center, Heidelberg, Germany.
Neuro Oncol. 2020 Aug 17;22(8):1138-1149. doi: 10.1093/neuonc/noaa091.
Glioblastoma (GBM) consists of devastating neoplasms with high invasive capacity, which have been difficult to study in vitro in a human-derived model system. Therapeutic progress is also limited by cellular heterogeneity within and between tumors, among other factors such as therapy resistance. To address these challenges, we present an experimental model using human cerebral organoids as a scaffold for patient-derived GBM cell invasion.
This study combined tissue clearing and confocal microscopy with single-cell RNA sequencing of GBM cells before and after co-culture with organoid cells.
We show that tumor cells within organoids extend a network of long microtubes, recapitulating the in vivo behavior of GBM. Transcriptional changes implicated in the invasion process are coherent across patient samples, indicating that GBM cells reactively upregulate genes required for their dispersion. Potential interactions between GBM and organoid cells identified by an in silico receptor-ligand pairing screen suggest functional therapeutic targets.
Taken together, our model has proven useful for studying GBM invasion and transcriptional heterogeneity in vitro, with applications for both pharmacological screens and patient-specific treatment selection on a time scale amenable to clinical practice.
胶质母细胞瘤(GBM)由具有高侵袭能力的破坏性肿瘤组成,在体外用人源性模型系统进行研究一直具有挑战性。治疗进展也受到肿瘤内和肿瘤间细胞异质性等因素的限制,如治疗耐药性。为了解决这些挑战,我们提出了一种使用人类脑类器官作为患者来源的 GBM 细胞侵袭支架的实验模型。
本研究将组织透明化和共聚焦显微镜与 GBM 细胞在与类器官细胞共培养前后的单细胞 RNA 测序相结合。
我们表明,类器官内的肿瘤细胞延伸出长微管网络,再现了 GBM 的体内行为。侵袭过程中涉及的转录变化在患者样本中具有一致性,表明 GBM 细胞反应性地上调了其分散所需的基因。通过计算受体-配体配对筛选鉴定的 GBM 和类器官细胞之间的潜在相互作用提示了潜在的治疗靶点。
总的来说,我们的模型已被证明可用于体外研究 GBM 的侵袭和转录异质性,可应用于药物筛选和基于患者的治疗选择,其时间尺度适用于临床实践。