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A case of osteoclast-like giant cell-rich epithelioid glioblastoma with BRAF V600E mutation

Overview of attention for article published in Brain Tumor Pathology, November 2015
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Title
A case of osteoclast-like giant cell-rich epithelioid glioblastoma with BRAF V600E mutation
Published in
Brain Tumor Pathology, November 2015
DOI 10.1007/s10014-015-0239-z
Pubmed ID
Authors

Nobuaki Funata, Sumihito Nobusawa, Ryoji Yamada, Nobusada Shinoura

Abstract

Epithelioid glioblastomas (E-GBMs) are rare, highly aggressive tumors consisting of closely packed tumor cells with smooth, round cell borders and abundant eosinophilic cytoplasm. They tend to affect younger patients compared with conventional GBM. BRAF V600E mutation is characteristically found in approximately 50 % of all E-GBMs, compared with a low frequency of this mutation in conventional GBM. Here, we report an unusual case of glioma involving the right frontal lobe, basal ganglia and thalamus in an HIV-positive 30-year-old man on antiretroviral therapy. The lesion was composed of abundant discohesive, monotonous epithelioid cells with extensive necrosis, spindle and polyhedral cells, low-grade oligoastrocytoma-like areas, sarcomatous components, and numerous osteoclast-like giant cells (OLGCs) intermingled with epithelioid tumor cells. As the epithelioid cells accounted for more than one-third of the tumor, a pathological diagnosis of E-GBM was made. BRAF V600E mutation was detected in both oligoastrocytoma-like and epithelioid cell components. Similar to previously reported findings on E-GBM associated with low-grade glioma, this case suggested that low-grade astrocytic glioma with BRAF V600E mutation progressed to E-GBM. OLGCs are rarely observed in gliomas, and this is the first case report of E-GBM associated with abundant OLGC infiltration.

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Mendeley readers

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The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Postgraduate 2 17%
Student > Bachelor 1 8%
Other 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 7 58%
Nursing and Health Professions 1 8%
Mathematics 1 8%
Unknown 3 25%
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 26 November 2015.
All research outputs
#20,297,343
of 22,834,308 outputs
Outputs from Brain Tumor Pathology
#116
of 169 outputs
Outputs of similar age
#324,060
of 386,693 outputs
Outputs of similar age from Brain Tumor Pathology
#4
of 4 outputs
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So far Altmetric has tracked 169 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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