Evidence map›Paper›PMID 35108039›Full record

ArticleScience advances2022

Multiple approaches converge on three biological subtypes of meningioma and extract new insights from published studies.

James C Bayley, Caroline C Hadley, Arif O Harmanci, Akdes S Harmanci, Tiemo J Klisch, Akash J Patel

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 5 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

92 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. WHO grade 3 pediatric meningioma: a systematic review of clinical features and patient-level analysis of prognostic factors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
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32 more citing papers are in PubMed but not listed here.

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

6 authors.

James C BayleyDepartment of Neurosurgery, Baylor College of Medicine, Houston , TX 77030, USA.ORCID 0000-0002-1959-4625
Caroline C HadleyDepartment of Neurosurgery, Baylor College of Medicine, Houston , TX 77030, USA.ORCID 0000-0001-9575-2608
Arif O HarmanciCenter for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center , Houston , TX 77030, USA.ORCID 0000-0002-9696-1118
Akdes S HarmanciDepartment of Neurosurgery, Baylor College of Medicine, Houston , TX 77030, USA.ORCID 0000-0001-6374-9041
Tiemo J KlischJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston , TX 77030, USA.ORCID 0000-0001-8182-384X
Akash J PatelDepartment of Neurosurgery, Baylor College of Medicine, Houston , TX 77030, USA.ORCID 0000-0002-1280-2989

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Baylor Research Education Program in NeurosurgeryR25NS070694 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI SHETH, SAMEER ANIL · 2010 to 2023
$1.2M
Establishing the Genomic Landscape of Human Atypical MeningiomasK08NS102474 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI PATEL, AKASH J. · 2017 to 2021
$869k
NCI NIH HHS P30 CA125123NINDS NIH HHS K08 NS102474NINDS NIH HHS R25 NS070694
6 · The paper itself

Abstract

One-fifth of meningiomas classified as benign by World Health Organization (WHO) histopathological grading will behave malignantly. To better diagnose these tumors, several groups turned to DNA methylation, whereas we combined RNA-sequencing (RNA-seq) and cytogenetics. Both approaches were more accurate than histopathology in identifying aggressive tumors, but whether they revealed similar tumor types was unclear. We therefore performed unbiased DNA methylation, RNA-seq, and cytogenetic profiling on 110 primary meningiomas WHO grade I and II). Each technique distinguished the same three groups (two benign and one malignant) as our previous molecular classification; integrating these methods into one classifier further improved accuracy. Computational modeling revealed strong correlations between transcription and cytogenetic changes, particularly loss of chromosome 1p, in malignant tumors. Applying our classifier to data from previous studies also resolved certain anomalies entailed by grouping tumors by WHO grade. Accurate classification will therefore elucidate meningioma biology as well as improve diagnosis and prognosis.

Indexed as

Meningeal NeoplasmsMeningiomaDNA MethylationHumansPlant ExtractsPrognosisPlant Extracts

Identifiers

PMID35108039
PMCPMC11313601

What OpenQuestion holds

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LicenceCC BY-NC
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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.