Matthias Schneider1,2,3, Lea Vollmer4,5,6, Anna-Laura Potthoff1,2, Vidhya M Ravi4,5,6,7, Bernd O Evert8, Mohummad A Rahman9, Shahin Sarowar9, Jan Kueckelhaus4,5,6, Paulina Will4,5,6, David Zurhorst1, Kevin Joseph4,5,6,7, Julian P Maier4,5, Nicolas Neidert4,5, Paolo d'Errico10, Melanie Meyer-Luehmann10,11, Ulrich G Hofmann4,5,6, Andreas Dolf12, Paolo Salomoni13, Erdem Güresir1, Per Ø Enger9, Martha Chekenya9, Torsten Pietsch3, Patrick Schuss1,2, Oliver Schnell4,5,6, Mike-Andrew Westhoff14, Jürgen Beck5,6, Hartmut Vatter1, Andreas Waha2,3, Ulrich Herrlinger3,15, Dieter H Heiland4,5,6,7. 1. Department of Neurosurgery, University Hospital Bonn, Bonn, Germany. 2. Brain Tumor Translational Research Affiliation, University Hospital Bonn, Bonn, Germany. 3. Department of Neuropathology, University Hospital Bonn, Bonn, Germany. 4. Translational NeuroOncology Research Group, Medical Center, University of Freiburg, Freiburg, Germany. 5. Department of Neurosurgery, University of Freiburg, Freiburg, Germany. 6. Faculty of Medicine, University of Freiburg, Freiburg, Germany. 7. Neuroelectronic Systems, Medical Center, University of Freiburg, Freiburg, Germany. 8. Department of Neurology, University Hospital Bonn, Bonn, Germany. 9. Department of Biomedicine, University of Bergen, Bergen, Norway. 10. Department of Neurology, Medical Centre, University of Freiburg, Freiburg, Germany. 11. Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany. 12. Institute of Experimental Immunology, University Hospital Bonn, Bonn, Germany. 13. Nuclear Function in CNS Pathophysiology, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany. 14. Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany. 15. Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany.
Abstract
BACKGROUND: Glioblastoma cells assemble to a syncytial communicating network based on tumor microtubes (TMs) as ultra-long membrane protrusions. The relationship between network architecture and transcriptional profile remains poorly investigated. Drugs that interfere with this syncytial connectivity such as meclofenamate (MFA) may be highly attractive for glioblastoma therapy. METHODS: In a human neocortical slice model using glioblastoma cell populations of different transcriptional signatures, three-dimensional tumor networks were reconstructed, and TM-based intercellular connectivity was mapped on the basis of two-photon imaging data. MFA was used to modulate morphological and functional connectivity; downstream effects of MFA treatment were investigated by RNA sequencing and fluorescence-activated cell sorting (FACS) analysis. RESULTS: TM-based network morphology strongly differed between the transcriptional cellular subtypes of glioblastoma and was dependent on axon guidance molecule expression. MFA revealed both a functional and morphological demolishment of glioblastoma network architectures which was reflected by a reduction of TM-mediated intercellular cytosolic traffic as well as a breakdown of TM length. RNA sequencing confirmed a downregulation of NCAM and axon guidance molecule signaling upon MFA treatment. Loss of glioblastoma communicating networks was accompanied by a failure in the upregulation of genes that are required for DNA repair in response to temozolomide (TMZ) treatment and culminated in profound treatment response to TMZ-mediated toxicity. CONCLUSION: The capacity of TM formation reflects transcriptional cellular heterogeneity. MFA effectively demolishes functional and morphological TM-based syncytial network architectures. These findings might pave the way to a clinical implementation of MFA as a TM-targeted therapeutic approach.
BACKGROUND: Glioblastoma cells assemble to a syncytial communicating network based on tumor microtubes (TMs) as ultra-long membrane protrusions. The relationship between network architecture and transcriptional profile remains poorly investigated. Drugs that interfere with this syncytial connectivity such as meclofenamate (MFA) may be highly attractive for glioblastoma therapy. METHODS: In a human neocortical slice model using glioblastoma cell populations of different transcriptional signatures, three-dimensional tumor networks were reconstructed, and TM-based intercellular connectivity was mapped on the basis of two-photon imaging data. MFA was used to modulate morphological and functional connectivity; downstream effects of MFA treatment were investigated by RNA sequencing and fluorescence-activated cell sorting (FACS) analysis. RESULTS: TM-based network morphology strongly differed between the transcriptional cellular subtypes of glioblastoma and was dependent on axon guidance molecule expression. MFA revealed both a functional and morphological demolishment of glioblastoma network architectures which was reflected by a reduction of TM-mediated intercellular cytosolic traffic as well as a breakdown of TM length. RNA sequencing confirmed a downregulation of NCAM and axon guidance molecule signaling upon MFA treatment. Loss of glioblastoma communicating networks was accompanied by a failure in the upregulation of genes that are required for DNA repair in response to temozolomide (TMZ) treatment and culminated in profound treatment response to TMZ-mediated toxicity. CONCLUSION: The capacity of TM formation reflects transcriptional cellular heterogeneity. MFA effectively demolishes functional and morphological TM-based syncytial network architectures. These findings might pave the way to a clinical implementation of MFA as a TM-targeted therapeutic approach.
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