Evidence map›Paper›PMID 36802047›Full record

ReviewJournal of neuro-oncology2023

Molecular classification and grading of meningioma.

MacLean P Nasrallah, Kenneth D Aldape

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Optic nerve sheath meningiomas harbor distinct genetic variants.American journal of clinical pathology · 2026
    Article
  8. Article
  9. Article
  10. Malignant Meningiomas: From Diagnostics to Treatment.Diagnostics (Basel, Switzerland) · 2025
    Review
  11. Review
  12. Malignant Transformation of Meningioma WithBrain tumor research and treatment · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

2 authors at 2 institutions in 1 country.

MacLean P NasrallahDivision of Neuropathology, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. maclean.nasrallah@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0003-4861-0898
Kenneth D AldapeLaboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-5119-7550
National Cancer Institute · USUniversity of Pennsylvania · US

Funding

Single-cell DNA methylation analysis of human cancerZIABC011846 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ALDAPE, KENNETH · 2018 to 2025
$8.4M
Development and validation of a predictor of meningioma recurrenceZIABC011847 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ALDAPE, KENNETH · 2018 to 2025
$5.9M
Genomic Biomarkers of CancerZIABC011850 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ALDAPE, KENNETH · 2019 to 2025
$5.1M
6 · The paper itself

Abstract

purposeMeningiomas are the most common primary intracranial tumor in older adults (Ostrom et al. in Neuro Oncol 21(Suppl 5):v1-v100, 2019). Treatment is largely driven by, in addition to patient characteristics and extent of resection/Simpson grade, the World Health Organization (WHO) grading of meningiomas. The current grading scheme, based predominantly on histologic features and only limited molecular characterization of these tumors (WHO Classification of Tumours Editorial Board, in: Central nervous system tumours, International Agency for Research on Cancer, Lyon, 2021), (Mirian et al. in J Neurol Neurosurg Psychiatry 91(4):379-387, 2020), does not consistently reflect the biologic behavior of meningiomas. This leads to both under-treatment and over-treatment of patients, and hence, suboptimal outcomes (Rogers et al. in Neuro Oncol 18(4):565-574). The goal of this review is to synthesize studies to date investigating molecular features of meningiomas as they relate to patient outcomes, in order to clarify best practices in assessing and, therefore, treating meningiomas.

methodsThe available literature of genomic landscape and molecular features of in meningioma was screened using PubMed.

resultsGreater understanding of meningiomas is reached by integrating histopathology, mutational analysis, DNA copy number changes, DNA methylation profiles, and potentially additional modalities to fully capture the clinical and biologic heterogeneity of these tumors.

conclusionDiagnosis and classification of meningioma is best accomplished using a combination of histopathology with genomic and epigenomic factors. Future classification schemes may benefit from such an integrated approach.

Indexed as

Biological ProductsCentral Nervous System NeoplasmsMeningeal NeoplasmsMeningiomaAgedGenomicsHumansNeoplasm GradingRetrospective StudiesBiological ProductsCopy number variantsMeningiomaMethylation profilingMolecular classification

Identifiers

PMID36802047
OpenAlexW4321352582

What OpenQuestion 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 OpenQuestion graph.