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The impact of arsenic trioxide and all-trans retinoic acid on p53 R273H-codon mutant glioblastoma

Overview of attention for article published in Tumor Biology, January 2014
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Title
The impact of arsenic trioxide and all-trans retinoic acid on p53 R273H-codon mutant glioblastoma
Published in
Tumor Biology, January 2014
DOI 10.1007/s13277-013-1601-6
Pubmed ID
Authors

Michael Karsy, Ladislau Albert, Raj Murali, Meena Jhanwar-Uniyal

Abstract

Glioblastoma (GBM) is the most common primary brain tumor in adults and demonstrates a 1-year median survival time. Codon-specific hotspot mutations of p53 result in constitutively active mutant p53, which promotes aberrant proliferation, anti-apoptosis, and cell cycle checkpoint failure in GBM. Recently identified CD133(+) cancer stem cell populations (CSC) within GBM also confer therapeutic resistance. We studied targeted therapy in a codon-specific p53 mutant (R273H) created by site-directed mutagenesis in U87MG. The effects of arsenic trioxide (ATO, 1 μM) and all-trans retinoic acid (ATRA, 10 μM), possible targeted treatments of CSCs, were investigated in U87MG neurospheres. The results showed that U87-p53(R273H) cells generated more rapid neurosphere growth than U87-p53(wt) but inhibition of neurosphere proliferation was seen with both ATO and ATRA. U87-p53(R273H) neurospheres showed resistance to differentiation into glial cells and neuronal cells with ATO and ATRA exposure. ATO was able to generate apoptosis at high doses and proliferation of U87-p53(wt) and U87-p53(R273H) cells was reduced with ATO and ATRA in a dose-dependent manner. Elevated pERK1/2 and p53 expression was seen in U87-p53(R273H) neurospheres, which could be reduced with ATO and ATRA treatment. Additionally, differential responses in pERK1/2 were seen with ATO treatment in neurospheres and non-neurosphere cells. In conclusion, codon-specific mutant p53 conferred a more aggressive phenotype to our CSC model. However, ATO and ATRA could potently suppress CSC properties in vitro and may support further clinical investigation of these agents.

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Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 36%
Researcher 4 16%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Student > Master 1 4%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 36%
Medicine and Dentistry 4 16%
Biochemistry, Genetics and Molecular Biology 3 12%
Chemical Engineering 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 6 24%
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 24 January 2014.
All research outputs
#18,361,534
of 22,741,406 outputs
Outputs from Tumor Biology
#1,370
of 2,622 outputs
Outputs of similar age
#228,675
of 304,741 outputs
Outputs of similar age from Tumor Biology
#41
of 55 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.