gms | German Medical Science

73. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)
Joint Meeting mit der Griechischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

29.05. - 01.06.2022, Köln

Establishment of a reliable Glioblastoma Tumor-Organoid platform enables automated high-throughput drug screening advancing personalised medicine

Standardisierte Glioblastomtumororganoide erlaubt personalisiertes und automatisiertes Medikamentenscreening

Meeting Abstract

  • presenting/speaker Gerhard Jungwirth - Universitätsklinikum Heidelberg, Division of Experimental Neurosurgery, Heidelberg, Deutschland
  • Adrian Paul - Universitätsklinikum Heidelberg, Division of Experimental Neurosurgery, Heidelberg, Deutschland
  • Junguo Cao - Universitätsklinikum Heidelberg, Division of Experimental Neurosurgery, Heidelberg, Deutschland
  • Rolf Warta - Universitätsklinikum Heidelberg, Division of Experimental Neurosurgery, Heidelberg, Deutschland
  • Amir Abdollahi - Universitätsklinikum Heidelberg, Translationale Radioonkologie, Heidelberg, Deutschland
  • Andreas W. Unterberg - Universitätsklinikum Heidelberg, Division of Experimental Neurosurgery, Heidelberg, Deutschland
  • Christel Herold-Mende - Universitätsklinikum Heidelberg, Division of Experimental Neurosurgery, Heidelberg, Deutschland

Deutsche Gesellschaft für Neurochirurgie. 73. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Griechischen Gesellschaft für Neurochirurgie. Köln, 29.05.-01.06.2022. Düsseldorf: German Medical Science GMS Publishing House; 2022. DocV075

doi: 10.3205/22dgnc079, urn:nbn:de:0183-22dgnc0793

Published: May 25, 2022

© 2022 Jungwirth et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

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Objective: Patient-derived tumor organoids (TOs) are mini-tumors generated from tumor tissues within a few days while preserving their genotype and phenotype and maintaining the cellular heterogeneity and key components of the tumor microenvironment. This exciting new technology provides representative avatars of the patient tumor in large numbers and thus can be exploited for drug discovery and drug screening purposes more efficiently than conventional cell lines or xenografted mouse models. In our study, we established standardized TOs from glioblastoma (GBM) and implemented them in an automated large-scale drug screening.

Methods: Fresh tumor tissue was dissociated into a single cell suspension. Cells were seeded into anti-adhesive 384-well plates to allow the formation of standardized TOs. GBM TOs were assessed by light microscopy, immunostainings, and RNA-seq. Automated high-throughput drug screening (aHTS) on TOs was performed using the industry-leading liquid handler Hamilton MicroLAB STAR. The drug library consisted of 166 FDA-approved antineoplastic drugs. Cell viability was assessed by CellTiter-Glo3D.

Results: Over one thousand standardized TO were generated per patient with a success rate of over 90%. Morphologically, TOs fully compacted after two days and the size maintained stable over 10 days, with a slow outgrowth in some patient cases. TOs proliferated over time as seen as a steady increase of the ATP signal. Stainings for tumor cells (GFAP), the tumor microenvironment (myeloid cells: CD68, T cells: CD3), and extracellular matrix (Tensascin C) confirmed a strong resemblance of TOs to their corresponding parental tumor, which was further substantiated by RNA-seq. Next, aHTS on TOs from 11 GBM patients was performed demonstrating strong heterogeneity of drug responses. The top ten best-performing drugs among 11 GBM patients consisted of 35 compounds targeting 14 different modes of action. Proteasome (bortezomib, ixazomib, carfilzomib, and marizomib; average viability 25%) and HDAC-inhibitors (romidepsin and panobinostat; average viability 28%) demonstrated the highest efficacy.

Conclusion: We established a protocol to form standardized TO from GBMs resembling the parental tumors and demonstrating a high formation success rate. Furthermore, by utilizing the automated high-throughput drug screening platform, we identified proteasome inhibitors and HDAC-inhibitors as highly efficacious drugs with large inter-patient-individual drug responses.