Evidence map›Paper›PMID 36564673›Full record

ArticleJournal of neuro-oncology2023

DNA methylation profiling of meningiomas highlights clinically distinct molecular subgroups.

Jyotsna Singh, Ravi Sharma, Nidhi Shukla, Priya Narwal, Amit Katiyar, Swati Mahajan, Saumya Sahu, Ajay Garg, Mehar C Sharma, Ashish Suri and 2 more

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In one paragraph

Article 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Jyotsna Singh *Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
Ravi Sharma *Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Nidhi ShuklaNeuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
Priya NarwalDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Amit KatiyarCCRF, All India Institute of Medical Sciences, New Delhi, India.
Swati MahajanNeuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
Saumya SahuNeuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
Ajay GargDepartment of Neuroradiology, All India Institute of Medical Sciences, New Delhi, India.
Mehar C SharmaNeuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
Ashish SuriDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Chitra SarkarDepartment of Pathology, All India Institute of Medical Sciences, New Delhi, India.
Vaishali SuriNeuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India. surivaishali@yahoo.co.in.ORCID http://orcid.org/0000-0001-6485-8194
All India Institute of Medical Sciences · IN

Funding

Science and Engineering Research Board, Department of Science and Technology EMR/2017/001566
6 · The paper itself

Abstract

backgroundIntroduction of the classification of brain tumours based on DNA methylation profile has significantly changed the diagnostic approach. Due to the paucity of data on the molecular profiling of meningiomas and their clinical implications, no effective therapies and new treatments have been implemented.

methodsDNA methylation profiling, copy number analysis, targeted sequencing and H3K27me3 expression was performed on 35 meningiomas and 5 controls.

resultsUnsupervised hierarchical clustering (UHC) analysis revealed four distinct molecular subgroups: Malignant; Intermediate; Benign A, and Benign B. Molecular heterogeneity was observed within the same grade as the Intermediate, Benign A, and Benign B subgroups were composed of WHO grade 1 as well as grade 2 cases. There was association of mutations with distinct methylation subgroups (NF2, AKT1, SMO, TRAF7 and pTERT). Loss of chromosome 22q was observed across all subgroups. 1p/14q co-deletion was seen in 50% of malignant and intermediate while CDKN2A loss was predominantly observed in malignant subgroup (50%). Majority of malignant (75%) and a small proportion of other subgroups (Intermediate: 25%, Benign A: 38.5%, and Benign B: 20%) harboured H3K27me3 loss. 38,734 genes were dysregulated amongst the four subgroups. DKFZ classified 71% cases with acceptable score. On survival analysis, methylation profiling had significant impact on progression-free-survival in WHO grade1 and 2 meningiomas (p = 0.0051).

conclusionGenome-wide DNA methylation profiling highlights clinically distinct molecular subgroups and heterogeneity within the same grade of meningiomas. Molecular profiling can usher in a paradigm shift in meningioma classification, prognostic prediction, and treatment strategy.

Indexed as

Meningeal NeoplasmsMeningiomaChromosome AberrationsDNA MethylationHistonesHumansMutationHistonesDKFZ classifierH3K27me3 expressionMethylation profilingMethylation subgroupsTargeted sequencingUnsupervised hierarchical clustering

Identifiers

PMID36564673
OpenAlexW4312130070

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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.