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High metallothionein predicts poor survival in glioblastoma multiforme

Overview of attention for article published in BMC Medical Genomics, October 2015
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Title
High metallothionein predicts poor survival in glioblastoma multiforme
Published in
BMC Medical Genomics, October 2015
DOI 10.1186/s12920-015-0137-6
Pubmed ID
Authors

Ruty Mehrian-Shai, Michal Yalon, Amos J. Simon, Eran Eyal, Tatyana Pismenyuk, Itai Moshe, Shlomi Constantini, Amos Toren

Abstract

Glioblastoma multiforme (GBM) is the most common and aggressive malignant brain tumor. Even with vigorous surgery, radiation and chemotherapy treatment, survival rates of GBM are very poor and predictive markers for prognosis are currently lacking. We performed whole genome expression studies of 67 fresh frozen untreated GBM tumors and validated results by 210 GBM samples' expression data from The Cancer Genome Atlas. RESULTS AND DISCUSSION: Here we show that in GBM patients, high metallothionein (MT) expression is associated with poor survival whereas low MT levels correspond to good prognosis. Furthermore we show that in U87 GBM cell line, p53 is found to be in an inactive mutant-like conformation concurrently with more than 4 times higher MT3 expression level than normal astrocytes and U251GBM cell line. We then show that U87- p53 inactivity can be rescued by zinc (Zn). Taken together, these data suggest that MT expression may be a potential novel prognostic biomarker for GBM, and that U87 cells may be a good model for patients with non active WT p53 resulting from high levels of MTs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Bachelor 6 18%
Student > Ph. D. Student 4 12%
Researcher 3 9%
Other 2 6%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 26%
Medicine and Dentistry 6 18%
Agricultural and Biological Sciences 3 9%
Neuroscience 2 6%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 11 32%
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 28 October 2015.
All research outputs
#17,776,263
of 22,831,537 outputs
Outputs from BMC Medical Genomics
#792
of 1,223 outputs
Outputs of similar age
#190,863
of 283,279 outputs
Outputs of similar age from BMC Medical Genomics
#16
of 20 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 283,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.