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Detection of proneural/mesenchymal marker expression in glioblastoma: temporospatial dynamics and association with chromatin-modifying gene expression

Overview of attention for article published in Journal of Neuro-Oncology, August 2015
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Detection of proneural/mesenchymal marker expression in glioblastoma: temporospatial dynamics and association with chromatin-modifying gene expression
Published in
Journal of Neuro-Oncology, August 2015
DOI 10.1007/s11060-015-1886-y
Pubmed ID
Authors

Hideki Murata, Koji Yoshimoto, Ryusuke Hatae, Yojiro Akagi, Masahiro Mizoguchi, Nobuhiro Hata, Daisuke Kuga, Akira Nakamizo, Toshiyuki Amano, Tetsuro Sayama, Koji Iihara

Abstract

Proneural and mesenchymal are two subtypes of glioblastoma identified by gene expression profiling. In this study, the primary aim was to detect markers to develop a clinically applicable method for distinguishing proneural and mesenchymal glioblastoma. The secondary aims were to investigate the temporospatial dynamics of these markers and to explore the association between these markers and the expression of chromatin-modifying genes. One hundred thirty-three glioma samples (grade II: 14 samples, grade III: 18, grade IV: 101) were analyzed. We quantified the expression of 6 signature genes associated with proneural and mesenchymal glioblastoma by quantitative reverse transcription-polymerase chain reaction. We assigned proneural (PN) and mesenchymal (MES) scores based on the average of the 6 markers and calculated a predominant metagene (P-M) score by subtracting the MES from the PN score. We used these scores to analyze correlations with malignant transformation, tumor recurrence, tumor heterogeneity, chromatin-modifying gene expression, and HDAC7 expression. The MES score positively correlated with tumor grade, whereas the PN score did not. The P-M score was able to distinguish the proneural and mesenchymal subtypes. It was decreased in cases of tumor recurrence and malignant transformation and showed variability within a tumor, suggesting intratumoral heterogeneity. The PN score correlated with the expression of multiple histone-modifying genes, whereas the MES score was associated only with HDAC7 expression. Thus, we demonstrated a simple and straightforward method of quantifying proneural/mesenchymal markers in glioblastoma. Of note, HDAC7 expression might be a novel therapeutic target in glioblastoma treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Other 3 13%
Researcher 3 13%
Student > Bachelor 1 4%
Other 1 4%
Unknown 7 30%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Neuroscience 3 13%
Agricultural and Biological Sciences 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Other 1 4%
Unknown 7 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 August 2015.
All research outputs
#17,768,879
of 22,821,814 outputs
Outputs from Journal of Neuro-Oncology
#2,117
of 2,969 outputs
Outputs of similar age
#178,334
of 264,379 outputs
Outputs of similar age from Journal of Neuro-Oncology
#19
of 60 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,969 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 24th percentile – i.e., 24% 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 264,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.