Evidence map›Paper›PMID 36076132›Full record

ArticleJournal of neuro-oncology2022

miR-497 and 219 in blood aid meningioma classification.

Ahmed Abdelrahman, Caterina Negroni, Felix Sahm, Claire L Adams, Tadeja Urbanic-Purkart, Michael Khalil, Raffaellla Vergura, Cristina Morelli, Clemens Oliver Hanemann

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Article in Journal of neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. 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
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.International journal of molecular sciences · 2024
    Review
  12. Review
  13. Potassium Channels, Glucose Metabolism and Glycosylation in Cancer Cells.International journal of molecular sciences · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ahmed AbdelrahmanPeninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK.
Caterina NegroniPeninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK.
Felix SahmDepartment of Neuropathology, Institute of Pathology, University Hospital Heidelberg, 69126, Heidelberg, Germany.
Claire L AdamsPeninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK.
Tadeja Urbanic-PurkartDepartment of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria.
Michael KhalilDepartment of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria.
Raffaellla VerguraMedical Trials Analysis, Via Ariosto 28, 44100, Ferrara, Italy.
Cristina MorelliMedical Trials Analysis, Via Ariosto 28, 44100, Ferrara, Italy.
Clemens Oliver HanemannPeninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK. oliver.hanemann@plymouth.ac.uk.

Funding

Brain Tumour Research HanemannMedical Research Council MR/N004272/1MSCA-ITN-ETN - European Training Networks An Integrated Platform for Developing Brain Cancer Diagnostic Techniques (AiPBAND) project ID 764282
6 · The paper itself

Abstract

introductionThe current WHO classification and methylation status help predict meningioma recurrence and prognosis. However, up to date, there is no circulating biomarker showing clinical value in meningioma diagnosis or classification. Circulating miRNAs showed the potential to be used as cancer biomarkers in various tumours. This research evaluated specific miRNAs, miR-497 and miR-219, as convenient and efficient predictors of meningioma grades.

methodsWe studied serum and exosomal levels of miR-497 in 74 meningioma samples (WHO grade I = 25, WHO grade II = 25, and WHO grade III = 24) and 53 healthy controls. The serum level of miR-219 was studied in 56 meningioma samples WHO grade I = 22, WHO grade II = 14, and WHO grade III = 20). We used qPCR for miRNA quantification. We also tested two different normalisers, endogenous and external, and evaluated their impact on the diagnostic value of miR-497.

resultsThe serum and exosomal levels of miR-497 distinguished meningioma from the control samples. Moreover, miR-497 was a suitable identifier for meningioma grade. When we combined miR-497 and miR-219, the efficacy of the combined biomarker was higher than miR-497 or miR-219 when used individually in meningioma classification. Both miR-497 and miR-219 showed a noticeable change with the methylation class of meningioma.

conclusionThis study shows that serum miR-497 is an effective and easy-to-measure biomarker for meningioma diagnosis and classification. Moreover, when we combined miR-497 and miR-219, the combined biomarker showed enhanced accuracy in meningioma classification. Furthermore, this is the first study to evaluate the correlation between serum circulating miRNA and the methylation status in meningioma.

Indexed as

ExosomesMeningeal NeoplasmsMeningiomaMicroRNAsBiomarkers, TumorHumansPrognosisBiomarkers, TumorMicroRNAsMIRN219 microRNA, humanMIRN497 microRNA, humanExosomesMeningiomaMethylationmicroRNASerumWHO grade

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.