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DNA Methylation in the Malignant Transformation of Meningiomas

Overview of attention for article published in PLOS ONE, January 2013
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Title
DNA Methylation in the Malignant Transformation of Meningiomas
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054114
Pubmed ID
Authors

Fan Gao, Lingling Shi, Jonathan Russin, Liyun Zeng, Xiao Chang, Shuhan He, Thomas C. Chen, Steven L. Giannotta, Daniel J. Weisenberger, Gabriel Zada, William J. Mack, Kai Wang

Abstract

Meningiomas are central nervous system tumors that originate from the meningeal coverings of the brain and spinal cord. Most meningiomas are pathologically benign or atypical, but 3-5% display malignant features. Despite previous studies on benign and atypical meningiomas, the key molecular pathways involved in malignant transformation remain to be determined, as does the extent of epigenetic alteration in malignant meningiomas. In this study, we explored the landscape of DNA methylation in ten benign, five atypical and four malignant meningiomas. Compared to the benign tumors, the atypical and malignant meningiomas demonstrate increased global DNA hypomethylation. Clustering analysis readily separates malignant from atypical and benign tumors, implicating that DNA methylation patterns may serve as diagnostic biomarkers for malignancy. Genes with hypermethylated CpG islands in malignant meningiomas (such as HOXA6 and HOXA9) tend to coincide with the binding sites of polycomb repressive complexes (PRC) in early developmental stages. Most genes with hypermethylated CpG islands at promoters are suppressed in malignant and benign meningiomas, suggesting the switching of gene silencing machinery from PRC binding to DNA methylation in malignant meningiomas. One exception is the MAL2 gene that is highly expressed in benign group and silenced in malignant group, representing de novo gene silencing induced by DNA methylation. In summary, our results suggest that malignant meningiomas have distinct DNA methylation patterns compared to their benign and atypical counterparts, and that the differentially methylated genes may serve as diagnostic biomarkers or candidate causal genes for malignant transformation.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Professor > Associate Professor 4 8%
Other 8 16%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 13 27%
Agricultural and Biological Sciences 11 22%
Biochemistry, Genetics and Molecular Biology 5 10%
Computer Science 2 4%
Sports and Recreations 2 4%
Other 3 6%
Unknown 13 27%
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 20 June 2013.
All research outputs
#14,168,910
of 22,708,120 outputs
Outputs from PLOS ONE
#115,897
of 193,897 outputs
Outputs of similar age
#165,583
of 279,220 outputs
Outputs of similar age from PLOS ONE
#2,826
of 5,005 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 36th percentile – i.e., 36% 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 279,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,005 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.