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Targeted Next-Generation Sequencing in Molecular Subtyping of Lower-Grade Diffuse Gliomas Application of the World Health Organization's 2016 Revised Criteria for Central Nervous System Tumors

Overview of attention for article published in The Journal of Molecular Diagnostics, December 2016
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Title
Targeted Next-Generation Sequencing in Molecular Subtyping of Lower-Grade Diffuse Gliomas Application of the World Health Organization's 2016 Revised Criteria for Central Nervous System Tumors
Published in
The Journal of Molecular Diagnostics, December 2016
DOI 10.1016/j.jmoldx.2016.10.010
Pubmed ID
Authors

Jamal H. Carter, Samantha N. McNulty, Patrick J. Cimino, Catherine E. Cottrell, Jonathan W. Heusel, Katinka A. Vigh-Conrad, Eric J. Duncavage

Abstract

The 2007 World Health Organization Classification of Tumours of the Central Nervous System classifies lower-grade gliomas [LGGs (grades II to III diffuse gliomas)] morphologically as astrocytomas or oligodendrogliomas, and tumors with unclear ambiguous morphology as oligoastrocytomas. The World Health Organization's newly released (2016) classification incorporates molecular data. A single, targeted next-generation sequencing (NGS) panel was used for detecting single-nucleotide variation and copy number variation in 50 LGG cases originally classified using the 2007 criteria, including 36 oligoastrocytomas, 11 oligodendrogliomas, 2 astrocytomas, and 1 LGG not otherwise specified. NGS results were compared with those from IHC analysis and fluorescence in situ hybridization to assess concordance and to categorize the tumors according to the 2016 criteria. NGS results were concordant with those from IHC analysis in all cases. In 3 cases, NGS was superior to fluorescence in situ hybridization in distinguishing segmental chromosomal losses from whole-arm deletions. The NGS approach was effective in reclassifying 36 oligoastrocytomas as 30 astrocytomas (20 IDH1/2 mutant and 10 IDH1/2 wild type) and 6 oligodendrogliomas, and 1 oligodendroglioma as an astrocytoma (IDH1/2 mutant). Here we show that a single, targeted NGS assay can serve as the sole testing modality for categorizing LGG according to the World Health Organization's 2016 diagnostic scheme. This modality affords greater accuracy and efficiency while reducing specimen tissue requirements compared with multimodal approaches.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Researcher 4 14%
Professor > Associate Professor 4 14%
Other 3 10%
Student > Master 3 10%
Other 6 21%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 34%
Medicine and Dentistry 7 24%
Agricultural and Biological Sciences 2 7%
Neuroscience 2 7%
Computer Science 1 3%
Other 0 0%
Unknown 7 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 April 2017.
All research outputs
#14,764,819
of 25,728,855 outputs
Outputs from The Journal of Molecular Diagnostics
#876
of 1,316 outputs
Outputs of similar age
#216,314
of 425,004 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#16
of 21 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,316 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 425,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.