ILANIT 2023

An Automated Platform for Creating Patient-Derived Glioblastoma Organoids and High Throughput Drug Screening

Yuval Bino Daskal 1 Avner Ehrlich 1 Muneef Ayyash 1 Christopher G. Hubert 2 Jeremy N. Rich 2 Yaakov Nahmias 1
1Bioengineering, The Hebrew University, Israel
2Stem Cell Biology and Regenerative Medicine, Lerner Research Institute, USA

Glioblastoma (GBM) is the most prevalent primary intrinsic brain tumor and amongst most lethal forms of cancer with a median survival of 14.6 months. GBM tumors exhibit vast inter- tumoral and intra-tumoral heterogeneity, complicating the development of effective therapeutic strategies. Studies suggest the presence of self-renewing, tumor-propagating cancer stem cells (CSCs) in GBM tumors plays a crucial role in the resistance to conventional therapies by multiple mechanisms. We present a method for creating vascularized multi-zonal patient-derived GBM organoids by precise robotic deposition. Precise deposition of CSCs and endothelial cells in a confined microenvironment creates a complex tumoral heterogeneity and vascularization. These patient-derived GBM organoids self-organize and allow three-dimensional cellular interactions, unveiling great cellular diversity and spatially defined cell phenotypes, that are not seen in typical spheroid cultures. The method also allows the incorporation of oxygen micro-sensors in the tumor organoids in high content screening 384-well setups with minimal variability. We show that sensor-embedded patient-derived organoids can be maintained and kinetically monitored for several days under controlled physiological conditions, allowing treatment-relevant high throughput screening. Network analysis of the assay’s responses reveals several novel pathways that shed light on basic mechanisms underlying the glioma stem cell responses to anti-cancer treatment and enabled us to delve into new targets that could specifically damage CSCs. Our platform offers a new approach of kinetic high content drug development for complex tumors, providing valuable information for both novel drugs and repurposing attempts.