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New aspects of glioblastoma multiforme revealed by similarities between neural and glioblastoma stem cells

Overview of attention for article published in Cell Biology and Toxicology, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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60 Mendeley
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Title
New aspects of glioblastoma multiforme revealed by similarities between neural and glioblastoma stem cells
Published in
Cell Biology and Toxicology, January 2018
DOI 10.1007/s10565-017-9420-y
Pubmed ID
Authors

Yoichiro Kawamura, Jun Takouda, Koji Yoshimoto, Kinichi Nakashima

Abstract

Neural stem cells (NSCs) undergo self-renewal and generate neurons and glial cells under the influence of specific signals from surrounding environments. Glioblastoma multiforme (GBM) is a highly lethal brain tumor arising from NSCs or glial precursor cells owing to dysregulation of transcriptional and epigenetic networks that control self-renewal and differentiation of NSCs. Highly tumorigenic glioblastoma stem cells (GSCs) constitute a small subpopulation of GBM cells, which share several characteristic similarities with NSCs. GSCs exist atop a stem cell hierarchy and generate heterogeneous populations that participate in tumor propagation, drug resistance, and relapse. During multimodal treatment, GSCs de-differentiate and convert into cells with malignant characteristics, and thus play critical roles in tumor propagation. In contrast, differentiation therapy that induces GBM cells or GSCs to differentiate into a neuronal or glial lineage is expected to inhibit their proliferation. Since stem cell differentiation is specified by the cells' epigenetic status, understanding their stemness and the epigenomic situation in the ancestor, NSCs, is important and expected to be helpful for developing treatment modalities for GBM. Here, we review the current findings regarding the epigenetic regulatory mechanisms of NSC fate in the developing brain, as well as those of GBM and GSCs. Furthermore, considering the similarities between NSCs and GSCs, we also discuss potential new strategies for GBM treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Bachelor 8 13%
Student > Ph. D. Student 8 13%
Student > Doctoral Student 7 12%
Researcher 5 8%
Other 6 10%
Unknown 16 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 37%
Neuroscience 6 10%
Medicine and Dentistry 6 10%
Agricultural and Biological Sciences 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 19 32%
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 14 February 2018.
All research outputs
#8,227,811
of 24,649,404 outputs
Outputs from Cell Biology and Toxicology
#121
of 516 outputs
Outputs of similar age
#159,617
of 449,750 outputs
Outputs of similar age from Cell Biology and Toxicology
#1
of 5 outputs
Altmetric has tracked 24,649,404 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 516 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 449,750 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 53% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them