Evidence map›Paper›PMID 27476114›Full record

ArticleJournal of experimental & clinical cancer research : CR2016

A restricted signature of serum miRNAs distinguishes glioblastoma from lower grade gliomas.

Giulia Regazzo, Irene Terrenato, Manuela Spagnuolo, Mariantonia Carosi, Gaetana Cognetti, Lucia Cicchillitti, Francesca Sperati, Veronica Villani, Carmine Carapella, Giulia Piaggio and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
4.1field-weighted citation impact, top 6% 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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 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.

Giulia RegazzoDepartment of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.
Irene TerrenatoBiostatistical Unit, Regina Elena National Cancer Institute, Rome, Italy.
Manuela SpagnuoloDepartment of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.
Mariantonia CarosiDepartment of Research, Advanced Diagnostics and Technological Innovation, Pathology Unit, Regina Elena National Cancer Institute, Rome, Italy.
Gaetana CognettiDigital library, Knowledge Center "Riccardo Maceratini" and Patient Library, Regina Elena National Cancer Institute, Rome, Italy.
Lucia CicchillittiDepartment of Research, Advanced Diagnostics and Technological Innovation, SAFU Unit, Translational Research Area, Regina Elena National Cancer Institute, Rome, Italy.
Francesca SperatiBiostatistical Unit, Regina Elena National Cancer Institute, Rome, Italy.
Veronica VillaniNeuro-Oncology Unit, Regina Elena National Cancer Institute, Rome, Italy.
Carmine CarapellaDepartment of Clinical and Experimental Oncology-Neurosurgery, Regina Elena National Cancer Institute, Rome, Italy.
Giulia PiaggioDepartment of Research, Advanced Diagnostics and Technological Innovation, SAFU Unit, Translational Research Area, Regina Elena National Cancer Institute, Rome, Italy. giulia.piaggio@ifo.gov.it.
Andrea PelosiDepartment of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.
Maria Giulia RizzoDepartment of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy. maria.rizzo@ifo.gov.it.
Rome National Central Library · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant gliomas are the most common primary brain tumors in adults and challenging cancers for diagnosis and treatment. They remain a disease for which non-invasive, diagnostic and/or prognostic novel biomarkers are highly desirable. Altered microRNA (miRNA) profiles have been observed in tumor tissues and biological fluids. To date only a small set of circulating/serum miRNA is found to be differentially expressed in brain tumors compared to normal controls. Here a restricted signature of circulating/serum miRNA including miR-15b*,-23a, -99a, -125b, -133a, -150*, -197, -340, -497, -548b-5p and let-7c were investigated as potential non-invasive biomarkers in the diagnosis of glioma patients.

methodsSerum and tissues miRNAs expression in patients with brain cancers (n = 30) and healthy controls (n = 15) were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Relative expression was calculated using the comparative Ct method. Statistical significance (p ≤ 0,05) was determined using the Mann-Whitney rank sum and Fisher's exact test. Diagnostic accuracy of miRNAs in distinguishing glioblastoma multiforme (GBM) from lower grade cancer was assessed by the Receiver Operating Characteristic (ROC) curve analysis. To validate the role of the identified miRNAs in cancer a comprehensive literature search was conducted using PubMed, Web of Science (Core Collection) and Scopus databases.

resultsWe observed a decrease of miR-497 and miR-125b serum levels depending on tumor stages with reduced level in GBM than lower grade tumors. The ROC curve analysis distinguishing GBM from lower grade cases yielded an area under the curve (AUC) of 0.87 (95 % confidence interval (CI) = 0.712-1) and of 0.75 (95 % CI = 0.533-0.967) for miR-497 and -125b, respectively. GBM patients are more likely to show a miR-497 and -125b down-regulation than the lower grade group (p = 0.002 and p = 0.024, respectively). These results were subsequently compared with evidence from 19 studies included in the final systematic review.

conclusionsAlthough multiple biomarkers are currently leveraged in the clinic to detect specific cancer types, no such standard blood biomolecules are used as yet in gliomas. Our data suggest that serum miR-497 and -125b could be a novel diagnostic markers with good perspectives for future clinical applications in patients with glioma.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsDiagnosis, DifferentialDown-RegulationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGlioblastomaGliomaHumansMaleMicroRNAsNeoplasm GradingBiomarkers, TumorMicroRNAsMIRN125 microRNA, humanMIRN497 microRNA, humanBiomarkersCirculating microRNAGliomamiR-125bmiR-497

Identifiers

PMID27476114
PMCPMC4967504
OpenAlexW2501366035

What OpenQuestion holds

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LicenceCC BY
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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.