Evidence map›Paper›PMID 23840654›Full record

ArticlePloS one2013

Gene expression profiles of metabolic aggressiveness and tumor recurrence in benign meningioma.

Eva Serna, José Manuel Morales, Manuel Mata, José Gonzalez-Darder, Teresa San Miguel, Rosario Gil-Benso, Concha Lopez-Gines, Miguel Cerda-Nicolas, Daniel Monleon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 31 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

9 authors at 4 institutions in 1 country.

Eva SernaUnidad Central de Investigación en Medicina, Universitat de Valéncia, Valencia, Spain.
José Manuel Morales
Manuel Mata
José Gonzalez-Darder
Teresa San Miguel
Rosario Gil-Benso
Concha Lopez-Gines
Miguel Cerda-Nicolas
Daniel Monleon
Universitat de València · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESHospital Clínico Universitario de Valencia · ESINCLIVA Health Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Around 20% of meningiomas histologically benign may be clinically aggressive and recur. This strongly affects management of meningioma patients. There is a need to evaluate the potential aggressiveness of an individual meningioma. Additional criteria for better classification of meningiomas will improve clinical decisions as well as patient follow up strategy after surgery. The aim of this study was to determine the relationship between gene expression profiles and new metabolic subgroups of benign meningioma with potential clinical relevance. Forty benign and fourteen atypical meningioma tissue samples were included in the study. We obtained metabolic profiles by NMR and recurrence after surgery information for all of them. We measured gene expression by oligonucleotide microarray measurements on 19 of them. To our knowledge, this is the first time that distinct gene expression profiles are reported for benign meningioma molecular subgroups with clinical correlation. Our results show that metabolic aggressiveness in otherwise histological benign meningioma proceeds mostly through alterations in the expression of genes involved in the regulation of transcription, mainly the LMO3 gene. Genes involved in tumor metabolism, like IGF1R, are also differentially expressed in those meningioma subgroups with higher rates of membrane turnover, higher energy demand and increased resistance to apoptosis. These new subgroups of benign meningiomas exhibit different rates of recurrence. This work shows that benign meningioma with metabolic aggressiveness constitute a subgroup of potentially recurrent tumors in which alterations in genes regulating critical features of aggressiveness, like increased angiogenesis or cell invasion, are still no predominant. The determination of these gene expression biosignatures may allow the early detection of clinically aggressive tumors.

Indexed as

TranscriptomeAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overBiomarkers, TumorCluster AnalysisFemaleGene Expression Regulation, NeoplasticHumansLIM Domain ProteinsMaleMeningeal NeoplasmsMeningiomaMiddle AgedMolecular Sequence AnnotationAdaptor Proteins, Signal TransducingBiomarkers, TumorLIM Domain ProteinsLMO3 protein, human

Identifiers

PMID23840654
PMCPMC3696107
OpenAlexW2064053900

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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.