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

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, July 2016
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Title
A restricted signature of serum miRNAs distinguishes glioblastoma from lower grade gliomas
Published in
Journal of Experimental & Clinical Cancer Research, July 2016
DOI 10.1186/s13046-016-0393-0
Pubmed ID
Authors

Giulia Regazzo, Irene Terrenato, Manuela Spagnuolo, Mariantonia Carosi, Gaetana Cognetti, Lucia Cicchillitti, Francesca Sperati, Veronica Villani, Carmine Carapella, Giulia Piaggio, Andrea Pelosi, Maria Giulia Rizzo

Abstract

Malignant 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. Serum 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. We 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. Although 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 19%
Researcher 14 18%
Student > Bachelor 13 17%
Student > Ph. D. Student 7 9%
Student > Postgraduate 6 8%
Other 11 14%
Unknown 12 15%
Readers by discipline Count As %
Medicine and Dentistry 29 37%
Biochemistry, Genetics and Molecular Biology 16 21%
Neuroscience 4 5%
Agricultural and Biological Sciences 2 3%
Immunology and Microbiology 2 3%
Other 10 13%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2017.
All research outputs
#7,959,162
of 25,371,288 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#506
of 2,378 outputs
Outputs of similar age
#126,835
of 380,541 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#2
of 31 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,378 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 380,541 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.