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Distinct molecular profile of diffuse cerebellar gliomas

Overview of attention for article published in Acta Neuropathologica, August 2017
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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Title
Distinct molecular profile of diffuse cerebellar gliomas
Published in
Acta Neuropathologica, August 2017
DOI 10.1007/s00401-017-1771-1
Pubmed ID
Authors

Masashi Nomura, Akitake Mukasa, Genta Nagae, Shogo Yamamoto, Kenji Tatsuno, Hiroki Ueda, Shiro Fukuda, Takayoshi Umeda, Tomonari Suzuki, Ryohei Otani, Keiichi Kobayashi, Takashi Maruyama, Shota Tanaka, Shunsaku Takayanagi, Takahide Nejo, Satoshi Takahashi, Koichi Ichimura, Taishi Nakamura, Yoshihiro Muragaki, Yoshitaka Narita, Motoo Nagane, Keisuke Ueki, Ryo Nishikawa, Junji Shibahara, Hiroyuki Aburatani, Nobuhito Saito

Abstract

Recent studies have demonstrated that tumor-driving alterations are often different among gliomas that originated from different brain regions and have underscored the importance of analyzing molecular characteristics of gliomas stratified by brain region. Therefore, to elucidate molecular characteristics of diffuse cerebellar gliomas (DCGs), 27 adult, mostly glioblastoma cases were analyzed. Comprehensive analysis using whole-exome sequencing, RNA sequencing, and Infinium methylation array (n = 17) demonstrated their distinct molecular profile compared to gliomas in other brain regions. Frequent mutations in chromatin-modifier genes were identified including, noticeably, a truncating mutation in SETD2 (n = 4), which resulted in loss of H3K36 trimethylation and was mutually exclusive with H3F3A K27M mutation (n = 3), suggesting that epigenetic dysregulation may lead to DCG tumorigenesis. Alterations that cause loss of p53 function including TP53 mutation (n = 9), PPM1D mutation (n = 2), and a novel type of PPM1D fusion (n = 1), were also frequent. On the other hand, mutations and copy number changes commonly observed in cerebral gliomas were infrequent. DNA methylation profile analysis demonstrated that all DCGs except for those with H3F3A mutations were categorized in the "RTK I (PDGFRA)" group, and those DCGs had a gene expression signature that was highly associated with PDGFRA. Furthermore, compared with the data of 315 gliomas derived from different brain regions, promoter methylation of transcription factors genes associated with glial development showed a characteristic pattern presumably reflecting their tumor origin. Notably, SOX10, a key transcription factor associated with oligodendroglial differentiation and PDGFRA regulation, was up-regulated in both DCG and H3 K27M-mutant diffuse midline glioma, suggesting their developmental and biological commonality. In contrast, SOX10 was silenced by promoter methylation in most cerebral gliomas. These findings may suggest potential tailored targeted therapy for gliomas according to their brain region, in addition to providing molecular clues to identify the region-related cellular origin of DCGs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 11 17%
Other 7 11%
Student > Bachelor 6 9%
Student > Master 4 6%
Other 10 16%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 19 30%
Biochemistry, Genetics and Molecular Biology 12 19%
Neuroscience 6 9%
Immunology and Microbiology 2 3%
Nursing and Health Professions 1 2%
Other 6 9%
Unknown 18 28%
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 26 October 2020.
All research outputs
#7,538,395
of 22,999,744 outputs
Outputs from Acta Neuropathologica
#1,369
of 2,377 outputs
Outputs of similar age
#119,970
of 315,948 outputs
Outputs of similar age from Acta Neuropathologica
#17
of 24 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 16th percentile – i.e., 16% 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 315,948 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 54% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.