Evidence map›Paper›PMID 36840836›Full record

ReviewJournal of neuro-oncology2023

The multiomic landscape of meningiomas: a review and update.

Justin Z Wang, Farshad Nassiri, Alexander P Landry, Vikas Patil, Jeff Liu, Kenneth Aldape, Andrew Gao, Gelareh Zadeh

Open access · hybridAbstract readReview
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Molecular and Immunological Landscape of Meningiomas.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. 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

8 authors at 4 institutions in 2 countries.

Justin Z WangMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
Farshad NassiriMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
Alexander P LandryMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
Vikas PatilMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
Jeff LiuMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
Kenneth AldapeThe International Consortium on Meningiomas, Toronto, ON, Canada.
Andrew GaoLaboratory Medicine Program, University Health Network, Toronto, ON, Canada.
Gelareh ZadehMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada. gelareh.zadeh@uhn.ca.
University Health Network · CANational Cancer Institute · USPrincess Margaret Cancer Centre · CAUniversity of Toronto · CA

Funding

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 brain tumor in adults. Traditionally they have been understudied compared to other central nervous system (CNS) tumors. However over the last decade, there has been renewed interest in uncovering the molecular topography of these tumors, with landmark studies identifying key driver alterations contributing to meningioma development and progression. Recent work from several independent research groups have integrated different genomic and epigenomic platforms to develop a molecular-based classification scheme for meningiomas that could supersede histopathological grading in terms of diagnostic accuracy, biological relevance, and outcome prediction, keeping pace with contemporary grading schemes for other CNS tumors including gliomas and medulloblastomas.

methodsHere we summarize the studies that have uncovered key alterations in meningiomas which builds towards the discovery of consensus molecular groups in meningiomas by integrating these findings. These groups supersede WHO grade and other clinical factors in being able to accurately predict tumor biology and clinical outcomes following surgery.

resultsDespite differences in the nomenclature of recently uncovered molecular groups across different studies, the biological similarities between these groups enables us to likely reconciliate these groups into four consensus molecular groups: two benign groups largely dichotomized by NF2-status, and two clinically aggressive groups defined by their hypermetabolic transcriptome, and by their preponderance of proliferative, cell-cycling pathways respectively.

conclusionFuture work, including by our group and others are underway to validate these molecular groups and harmonize the nomenclature for routine clinical use.

Indexed as

Central Nervous System NeoplasmsCerebellar NeoplasmsMeningeal NeoplasmsMeningiomaAdultHumansMultiomicsClassificationEpigenomicsGenomicsMeningiomasMolecularMultiomics

Identifiers

PMID36840836
PMCPMC9988797
OpenAlexW4321996971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.