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Gene expression profile analysis of primary glioblastomas and non-neoplastic brain tissue: identification of potential target genes by oligonucleotide microarray and real-time quantitative PCR

Overview of attention for article published in Journal of Neuro-Oncology, April 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent
wikipedia
2 Wikipedia pages

Citations

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103 Dimensions

Readers on

mendeley
82 Mendeley
Title
Gene expression profile analysis of primary glioblastomas and non-neoplastic brain tissue: identification of potential target genes by oligonucleotide microarray and real-time quantitative PCR
Published in
Journal of Neuro-Oncology, April 2008
DOI 10.1007/s11060-008-9579-4
Pubmed ID
Authors

Carlos A. Scrideli, Carlos G. Carlotti, Oswaldo K. Okamoto, Vanessa S. Andrade, Maria A. A. Cortez, Fábio J. N. Motta, Agda K. Lucio-Eterovic, Luciano Neder, Sérgio Rosemberg, Sueli M. Oba-Shinjo, Suely K. N. Marie, Luíz G. Tone

Abstract

The prognosis of glioblastomas is still extremely poor and the discovery of novel molecular therapeutic targets can be important to optimize treatment strategies. Gene expression analyses comparing normal and neoplastic tissues have been used to identify genes associated with tumorigenesis and potential therapeutic targets. We have used this approach to identify differentially expressed genes between primary glioblastomas and non-neoplastic brain tissues. We selected 20 overexpressed genes related to cell cycle, cellular movement and growth, proliferation and cell-to-cell signaling and analyzed their expression levels by real time quantitative PCR in cDNA obtained from microdissected fresh tumor tissue from 20 patients with primary glioblastomas and from 10 samples of non-neoplastic white matter tissue. The gene expression levels were significantly higher in glioblastomas than in non-neoplastic white matter in 18 out of 20 genes analyzed: P < 0.00001 for CDKN2C, CKS2, EEF1A1, EMP3, PDPN, BNIP2, CA12, CD34, CDC42EP4, PPIE, SNAI2, GDF15 and MMP23b; and NFIA (P: 0.0001), GPS1 (P: 0.0003), LAMA1 (P: 0.002), STIM1 (P: 0.006), and TASP1 (P: 0.01). Five of these genes are located in contiguous loci at 1p31-36 and 2 at 17q24-25 and 8 of them encode surface membrane proteins. PDPN and CD34 protein expression were evaluated by immunohistochemistry and they showed concordance with the PCR results. The present results indicate the presence of 18 overexpressed genes in human primary glioblastomas that may play a significant role in the pathogenesis of these tumors and that deserve further functional investigation as attractive candidates for new therapeutic targets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Germany 1 1%
Portugal 1 1%
Australia 1 1%
Ireland 1 1%
Unknown 76 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 21%
Student > Ph. D. Student 16 20%
Student > Postgraduate 8 10%
Student > Bachelor 7 9%
Professor 7 9%
Other 14 17%
Unknown 13 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 30%
Biochemistry, Genetics and Molecular Biology 15 18%
Medicine and Dentistry 15 18%
Neuroscience 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 3 4%
Unknown 15 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 August 2013.
All research outputs
#4,696,673
of 22,789,076 outputs
Outputs from Journal of Neuro-Oncology
#483
of 2,967 outputs
Outputs of similar age
#15,774
of 81,861 outputs
Outputs of similar age from Journal of Neuro-Oncology
#2
of 8 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,967 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 81% 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 81,861 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 72% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.