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IDH1 mutation-associated long non-coding RNA expression profile changes in glioma

Overview of attention for article published in Journal of Neuro-Oncology, September 2015
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Title
IDH1 mutation-associated long non-coding RNA expression profile changes in glioma
Published in
Journal of Neuro-Oncology, September 2015
DOI 10.1007/s11060-015-1916-9
Pubmed ID
Authors

Xiao-Qin Zhang, Karrie Mei-Yee Kiang, Yue-Chun Wang, Jenny Kan-Suen Pu, Amy Ho, Stephen Yin Cheng, Derek Lee, Ping-De Zhang, Jia-Jing Chen, Wai-Man Lui, Ching-Fai Fung, Gilberto Ka-Kit Leung

Abstract

Isocitrate dehydrogenase 1 (IDH1) mutation is an important prognostic marker in glioma. However, its downstream effect remains incompletely understood. Long non-coding RNAs (lncRNAs) are emerging as important regulators of tumorigenesis in a number of human malignancies, including glioma. Here, we investigated whether and how lncRNA expression profiles would differ between gliomas with or without IDH1 mutation. By using our previously reported lncRNA mining approach, we performed lncRNA profiling in three public glioma microarray datasets. The differential lncRNA expression analysis was then conducted between mutant-type and wild-type IDH1 glioma samples. Comparison analysis identified 14 and 9 lncRNA probe sets that showed significantly altered expressions in astrocytic and oligodendroglial tumors, respectively (fold change ≥ 1.5, false discovery rate ≤ 0.1). Moreover, the differential expressions of these lncRNAs could be confirmed in the independent testing sets. Functional exploration of the lncRNAs by analyzing the lncRNA-protein interactions revealed that these IDH1 mutation-associated lncRNAs were involved in multiple tumor-associated cellular processes, including metabolism, cell growth and apoptosis. Our data suggest the potential roles of lncRNA in gliomagenesis, and may help to understand the pathogenesis of gliomas associated with IDH1 mutation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Doctoral Student 3 15%
Student > Master 3 15%
Researcher 3 15%
Student > Bachelor 3 15%
Other 3 15%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 40%
Agricultural and Biological Sciences 2 10%
Neuroscience 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unspecified 1 5%
Other 4 20%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2015.
All research outputs
#13,752,855
of 22,826,360 outputs
Outputs from Journal of Neuro-Oncology
#1,738
of 2,970 outputs
Outputs of similar age
#130,612
of 266,946 outputs
Outputs of similar age from Journal of Neuro-Oncology
#13
of 67 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,970 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 41st percentile – i.e., 41% 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 266,946 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 50% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.