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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

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Multiplex analysis of CSF extracellular vesicles of intraspinal tumours – extended analysis

Multiplex-Analyse extrazellulärer Vesikel des Liquors von intraspinalen Tumoren – erweiterte Analyse

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  • presenting/speaker Franz Lennard Ricklefs - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Amanda Salviano da Silva - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Ines Stevic - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Cecile Maire - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Klaus Christian Mende - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Joshua Welsh - National Institutes of Health (NIH), Washington, WA, Vereinigte Staaten
  • Manfred Westphal - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Katrin Lamszus - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, Deutschland
  • Sven Oliver Eicker - Universitätsklinikum Hamburg-Eppendorf, Klinik und Poliklinik für Neurochirurgie, Hamburg, 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. DocP013

doi: 10.3205/22dgnc327, urn:nbn:de:0183-22dgnc3275

Published: May 25, 2022

© 2022 Ricklefs 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: Extracellular vesicles (EVs) play an important role in cell-cell communication in different types of tumors, carrying multiple layers of biological functional molecules, including proteins, RNA, DNA and lipids. We previously demonstrated that extracellular vesicles (EV) from central nervous system tumors reflect the molecular subtype of the original tumor and mediate an exchange of pro-oncogenic signals. Their implication as biomarkers in tumor disease is under current investigation. It is unclear, however, to what extent cerebrospinal fluid (CSF) EVs from intraspinal tumors are utilizable for diagnosticial purposes. Here we show our extended analysis of CSF EVs of intraspinal tumors to define CSF EV profiles that allow tumor subtype classification.

Methods: EVs were isolated from CSF of patients suffering from intraspinal meningioma (n=5), ependymoma (n=6)), heamangioma (n=3) and neurinoma (n=5), control patients (n=7). EVs were analyzed by multiplex bead based assay, immunoblotting, electron microscopy, imaging flow cytometry (IFCM) and NTA.

Results: CSF EVs were in the expected size range (100-150nm) and showed vesicular structures by electron microscopy. Using our 37 protein multiplex EV profiling kit we found 29 proteins to be expressed in a sufficient manner on CSF EVs. CSF EVs of neurinomas had elevated levels of SSEA-4, CD19e, CD44, HLA-A/B/C, ependymomas showed elevated levels of CD133, CD29, haemangiomas showed elevated levels of CD9, CD63, CD81 while meningiomas showed elevated of CD62P, HLA-DR, CD40, CD42a and CD45 expression levels. IFCM confirmed increased levels of distinct EV subpopulation for neurinomas, ependymomas, and meningiomas.

Conclusion: Our extended comprehensive analysis of CSF EV of intraspinal tumor patients shows that CSF EVs display distinct subpopulations that may allow tumor classification and long-term surveillance. However as tumor-specific EVs may be rare, there is still the need to identify markers that can enrich tumor-specific EVs for molecular profiling.

Figure 1 [Fig. 1], Figure 2 [Fig. 2]