Evidence map›Paper›PMID 21234620›Full record

ReviewActa neurochirurgica2011

Gene expression profiling of meningiomas: current status after a decade of microarray-based transcriptomic studies.

Mads Aarhus, Morten Lund-Johansen, Per Morten Knappskog

Abstract readReview
In one paragraph

Review in Acta neurochirurgica, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  5. Review
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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

3 authors.

Mads AarhusCentre for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway. mads.aarhus@me.com
Morten Lund-Johansen
Per Morten Knappskog

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis article provides a review of the transcriptomic expression profiling studies that have been performed on meningiomas so far. We discuss some future prospects and challenges ahead in the field of gene expression profiling.

methodsWe performed a systematic search in the PubMed and EMBASE databases in May 2010 using the following search terms alone or in combination: "meningioma", "microarray analysis", "oligonucleotide array sequence analysis", or "gene expression profiling". Only original research articles in English that had used RNA hybridized to high-resolution microarray chips to generate gene expression profiles were included.

resultsWe identified 13 articles matching the inclusion criteria. All studies had been performed during the last decade.

conclusionsThe main results of the studies can be grouped in three categories: (1) several groups have identified meningioma-specific genes and genes associated with the three WHO grades, and the main histological subtypes of grade I meningiomas; (2) one publication has shown that the general transcription profile of samples of all WHO grades differs in vivo and in vitro; (3) one report provides evidence that microarray technology can be used in an automated fashion to classify tumors. Due to lack of consensus on how microarray data are presented, possible general trends found across the studies are difficult to extract. This could obstruct the discovery of important genes and pathways universally involved in meningioma biology.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisHumansMagnetic Resonance ImagingMeningeal NeoplasmsMeningiomaNeoplasm InvasivenessNeoplasm StagingPathology, MolecularPrognosis

Identifiers

PMID21234620
PMCPMC3040823

What OpenQuestion holds

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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.