Evidence map›Paper›PMID 35551407›Full record

ArticleNeuro-oncology2022

Diagnostic potential of extracellular vesicles in meningioma patients.

Franz L Ricklefs, Cecile L Maire, Kathrin Wollmann, Lasse Dührsen, Krystian D Fita, Felix Sahm, Christel Herold-Mende, Andreas von Deimling, Katharina Kolbe, Mareike Holz and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Extracellular vesicles in spine tumors: biological roles, immune modulation, and therapeutic implications.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  5. Article
  6. Article
  7. Malignant Meningiomas: From Diagnostics to Treatment.Diagnostics (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.International journal of molecular sciences · 2024
    Review
  15. Article
  16. Review
  17. Review
  18. The coming of age of liquid biopsy in neuro-oncology.Brain : a journal of neurology · 2023
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 1 country.

Franz L RicklefsDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-1321-6930
Cecile L MaireDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Kathrin WollmannDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Lasse DührsenDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Krystian D FitaDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Felix SahmDepartment of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0001-5441-1962
Christel Herold-MendeDivision of Neurosurgical Research, Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany.
Andreas von DeimlingDepartment of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.
Katharina KolbeDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Mareike HolzDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Leonie BergmannDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Marceline M FuhDepartment of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Hartmut SchlüterInstitute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Malik AlawiBioinformatics Core, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Rudolph ReimerHeinrich-Pette-Institut, Leibniz Institute for Experimental Virology, Hamburg, Germany.
Sven PeineInstitute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Markus GlatzelInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Manfred WestphalDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-3483-6335
Katrin LamszusDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DEHeidelberg University · DELeibniz Institute of Virology (LIV) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtracellular 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.

methodsEV 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.

resultsLevels 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.

conclusionsElevated 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.

Indexed as

Extracellular VesiclesMeningeal NeoplasmsMeningiomaBiomarkers, TumorDNA Copy Number VariationsHumansNeoplasm ProteinsProteomicsBiomarkers, TumorNeoplasm ProteinscfDNAexosomeliquid biopsymeningiomamicrovesicle

Identifiers

PMID35551407
PMCPMC9883720
OpenAlexW4280512552

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.