Profiling extracellular vesicles from cerebrospinal fluid for classification of intradural spinal tumors

Extracellular vesicles (EVs) transport biomolecules that could serve as biomarkers for disease diagnosis and monitoring. The clinical utility of EVs derived from cerebrospinal fluid (CSF) in patients with intradural spinal tumors (IST) has not yet been investigated. Here, we obtained EVs from CSF of adult patients with intraspinal ependymoma (n = 9), meningioma (n = 9), hemangioma (n = 4) and schwannian tumors (n = 7), as well as comparison group ('CG', normal pressure hydrocephalus, n = 7), by ultrafiltration. CSF-EVs were characterized by electron microscopy and nanoparticle tracking analysis. EV populations according to the presence of tetraspanins (CD9, CD63, CD81) were measured by imaging flow cytometry (IFCM). CD81<sup>+</sup> EVs were more prevalent in the comparison group, meningioma, ependymoma WHO grade 2, and hemangioma, whereas CD9<sup>+</sup> EVs were predominant in ependymoma grade 1 and Schwannian tumors. CD63<sup>+</sup> EVs per milliliter/CSF differed between ependymoma WHO grades 1 and 2 (FC = 24.6, AUC = 90%, p < 0.05). Based on results from a bead-based multiplex profiling, we selected ITGB1, CD44, CD133 and HLA-DR/DQ/DP for further phenotyping in CSF-EVs using IFCM, in combination with each tetraspanin as double-positive subpopulations. Compared to CG, CD44<sup>+</sup> EVs were the most relevant population in CSF from IST patients, followed by ITGB1. Notable differences in absolute (EVs/mL CSF) and relative (percentages of CSF-EVs) levels were: CD44<sup>+</sup>/CD81<sup>+</sup> for ependymoma grade 1 (FC = 196.5 and 34.5; p < 0.01) and grade 2 (%FC = 6.1, p < 0.05); CD44<sup>+</sup>/CD63<sup>+</sup> for meningioma (abs. and %FC > 1000, p < 0.05); ITGB1<sup>+</sup>/CD81<sup>+</sup> for hemangioma (%FC = 4.8, p < 0.05); and ITGB1<sup>+</sup>/CD9<sup>+</sup> for schwannian tumors (abs.FC = 19.8, p < 0.01). In conclusion, we identified distinct EV subpopulations in the CSF of IST patients, potentially facilitating tumor classification.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-20
DOI
https://doi.org/10.1038/s41598-025-23190-w
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Profiling extracellular vesicles from cerebrospinal fluid for classification of intradural spinal tumors

Katrin Lamszus, Marius Marc-Daniel Mader, Christian W. Mende, Sven Oliver Eicker et al.
Scientific Reports
Extracellular vesicles in disease
article

Profiling extracellular vesicles from cerebrospinal fluid for classification of intradural spinal tumors

Katrin Lamszus, Marius Marc-Daniel Mader, Christian W. Mende, Sven Oliver Eicker, Amanda Salviano‐Silva, Cécile L. Maire, Ines Stevic, Manfred Westphal, Franz Ricklefs, Lasse Dührsen, Rudolph Reimer
article en

Abstract

Extracellular vesicles (EVs) transport biomolecules that could serve as biomarkers for disease diagnosis and monitoring. The clinical utility of EVs derived from cerebrospinal fluid (CSF) in patients with intradural spinal tumors (IST) has not yet been investigated. Here, we obtained EVs from CSF of adult patients with intraspinal ependymoma (n = 9), meningioma (n = 9), hemangioma (n = 4) and schwannian tumors (n = 7), as well as comparison group ('CG', normal pressure hydrocephalus, n = 7), by ultrafiltration. CSF-EVs were characterized by electron microscopy and nanoparticle tracking analysis. EV populations according to the presence of tetraspanins (CD9, CD63, CD81) were measured by imaging flow cytometry (IFCM). CD81<sup>+</sup> EVs were more prevalent in the comparison group, meningioma, ependymoma WHO grade 2, and hemangioma, whereas CD9<sup>+</sup> EVs were predominant in ependymoma grade 1 and Schwannian tumors. CD63<sup>+</sup> EVs per milliliter/CSF differed between ependymoma WHO grades 1 and 2 (FC = 24.6, AUC = 90%, p < 0.05). Based on results from a bead-based multiplex profiling, we selected ITGB1, CD44, CD133 and HLA-DR/DQ/DP for further phenotyping in CSF-EVs using IFCM, in combination with each tetraspanin as double-positive subpopulations. Compared to CG, CD44<sup>+</sup> EVs were the most relevant population in CSF from IST patients, followed by ITGB1. Notable differences in absolute (EVs/mL CSF) and relative (percentages of CSF-EVs) levels were: CD44<sup>+</sup>/CD81<sup>+</sup> for ependymoma grade 1 (FC = 196.5 and 34.5; p < 0.01) and grade 2 (%FC = 6.1, p < 0.05); CD44<sup>+</sup>/CD63<sup>+</sup> for meningioma (abs. and %FC > 1000, p < 0.05); ITGB1<sup>+</sup>/CD81<sup>+</sup> for hemangioma (%FC = 4.8, p < 0.05); and ITGB1<sup>+</sup>/CD9<sup>+</sup> for schwannian tumors (abs.FC = 19.8, p < 0.01). In conclusion, we identified distinct EV subpopulations in the CSF of IST patients, potentially facilitating tumor classification.

Scientific ReportsVol. 15(1)
Leibniz Institute of Virology (LIV) (DE), Universität Hamburg (DE), Christian-Albrechts-Universität zu Kiel (DE), University Medical Center Hamburg-Eppendorf (DE), Friedrich-Ebert-Krankenhaus (DE)
Universitätsklinikum Hamburg-Eppendorf
Openalex Percentile: Top 74%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.