Evidence map›Paper›PMID 31016891›Full record

ArticleCNS neuroscience & therapeutics2019

A five-CpG signature of microRNA methylation in non-G-CIMP glioblastoma.

En-Ming Kang, An-An Yin, Ya-Long He, Wei-Jun Chen, Amandine Etcheverry, Marc Aubry, Jill Barnholtz-Sloan, Jean Mosser, Wei Zhang, Xiang Zhang

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2019. 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
0.2field-weighted citation impact, top 51% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 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

10 authors at 6 institutions in 3 countries.

En-Ming KangDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, Xi'an, China.ORCID 0000-0003-1281-3458
An-An YinDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, Xi'an, China.ORCID 0000-0002-1888-5551
Ya-Long HeDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, Xi'an, China.
Wei-Jun ChenDepartment of Emergency Medicine, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Amandine EtcheverryCNRS, UMR 6290, Institut de Génétique et Développement de Rennes (IGdR), Rennes, France.
Marc AubryUEB, UMS 3480 Biosit, Faculté de Médecine, Université Rennes1, Rennes, France.
Jill Barnholtz-SloanCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio.
Jean MosserCNRS, UMR 6290, Institut de Génétique et Développement de Rennes (IGdR), Rennes, France.
Wei ZhangDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xiang ZhangDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xijing Hospital · CNCentre National de la Recherche Scientifique · FR117th Hospital of People's Liberation Army · CNCase Western Reserve University · USNanjing General Hospital of Nanjing Military Command · CNStructure Fédérative de Recherche en Biologie et Santé de Rennes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDNA methylation has been found to regulate microRNAs (miRNAs) expression, but the prognostic value of miRNA-related DNA methylation aberration remained largely elusive in cancers including glioblastomas (GBMs). This study aimed to investigate the clinical and biological feature of miRNA methylation in GBMs of non-glioma-CpG island methylator phenotype (non-G-CIMP).

methodsPrognostic miRNA methylation loci were analyzed, with TCGA and Rennes cohort as training sets, and independent datasets of GBMs and low-grade gliomas (LGGs) were obtained as validation sets. Different statistical and bioinformatic analysis and experimental validations were performed to clinically and biologically characterize the signature.

resultsWe identified and validated a risk score based on methylation status of five miRNA-associated CpGs which could predict survival of GBM patients in a series of training and validation sets. This signature was independent of age and O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The risk subgroup was associated with angiogenesis and accordingly differential responses to bevacizumab-contained therapy. MiRNA target analysis and in vitro experiments further confirmed the accuracy of this signature.

conclusionThe five-CpG signature of miRNA methylation was biologically relevant and was of potential prognostic and predictive value for GBMs. It might be of help for improving individualized treatment.

Indexed as

Databases, GeneticAdultAgedAged, 80 and overCohort StudiesCpG IslandsDNA MethylationFemaleGenome-Wide Association StudyGlioblastomaHumansMaleMicroRNAsMiddle AgedPhenotypeRetrospective StudiesMicroRNAsangiogenesisDNA methylation signatureglioblastomamiRNAprognostication

Identifiers

PMID31016891
PMCPMC6698977
OpenAlexW2940681304

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.