Diagnostic potential of extracellular vesicles in meningioma patients

Author:

Ricklefs Franz L1ORCID,Maire Cecile L1,Wollmann Kathrin1,Dührsen Lasse1,Fita Krystian D1,Sahm Felix2ORCID,Herold-Mende Christel3,von Deimling Andreas2,Kolbe Katharina1,Holz Mareike1,Bergmann Leonie1,Fuh Marceline M4,Schlüter Hartmut5,Alawi Malik6,Reimer Rudolph7,Peine Sven5,Glatzel Markus8,Westphal Manfred1ORCID,Lamszus Katrin1

Affiliation:

1. Department of Neurosurgery, University Medical Center Hamburg-Eppendorf , Hamburg , Germany

2. Department of Neuropathology, University Hospital Heidelberg , Heidelberg , Germany

3. Division of Neurosurgical Research, Department of Neurosurgery, University Hospital Heidelberg , Heidelberg , Germany

4. Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf , Hamburg , Germany

5. Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf , Hamburg , Germany

6. Bioinformatics Core, University Medical Center Hamburg-Eppendorf , Hamburg , Germany

7. Heinrich-Pette-Institut, Leibniz Institute for Experimental Virology , Hamburg , Germany

8. Institute of Neuropathology, University Medical Center Hamburg-Eppendorf , Hamburg , Germany

Abstract

Abstract Background Extracellular vesicles (EVs) play an important role in cell–cell communication, and tumor-derived EVs circulating in patient blood can serve as biomarkers. Here, we investigated the potential role of plasma EVs in meningioma patients for tumor detection and determined whether EVs secreted by meningioma cells reflect epigenetic, genomic, and proteomic alterations of original tumors. Methods EV concentrations were quantified in patient plasma (n = 46). Short-term meningioma cultures were established (n = 26) and secreted EVs were isolated. Methylation and copy number profiling was performed using 850k arrays, and mutations were identified by targeted gene panel sequencing. Differential quantitative mass spectrometry was employed for proteomic analysis. Results Levels of circulating EVs were elevated in meningioma patients compared to healthy individuals, and the plasma EV concentration correlated with malignancy grade and extent of peritumoral edema. Postoperatively, EV counts dropped to normal levels, and the magnitude of the postoperative decrease was associated with extent of tumor resection. Methylation profiling of EV-DNA allowed correct tumor classification as meningioma in all investigated cases, and accurate methylation subclass assignment in almost all cases. Copy number variations present in tumors, as well as tumor-specific mutations were faithfully reflected in meningioma EV-DNA. Proteomic EV profiling did not permit original tumor identification but revealed tumor-associated proteins that could potentially be utilized to enrich meningioma EVs from biofluids. Conclusions Elevated EV levels in meningioma patient plasma could aid in tumor diagnosis and assessment of treatment response. Meningioma EV-DNA mirrors genetic and epigenetic tumor alterations and facilitates molecular tumor classification.

Funder

German Cancer Aid

Deutsche Forschungsgemeinschaft

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Neurology (clinical),Oncology

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