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Prospective, high-throughput molecular profiling of human gliomas

Overview of attention for article published in Journal of Neuro-Oncology, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 X user
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8 patents

Citations

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48 Dimensions

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58 Mendeley
Title
Prospective, high-throughput molecular profiling of human gliomas
Published in
Journal of Neuro-Oncology, July 2012
DOI 10.1007/s11060-012-0938-9
Pubmed ID
Authors

Andrew S. Chi, Tracy T. Batchelor, Dora Dias-Santagata, Darrell Borger, Charles D. Stiles, Daphne L. Wang, William T. Curry, Patrick Y. Wen, Keith L. Ligon, Leif Ellisen, David N. Louis, A. John Iafrate

Abstract

Gliomas consist of multiple histologic and molecular subtypes with different clinical phenotypes and responsiveness to treatment. However, enrollment criteria for clinical trials still largely do not take into account these underlying molecular differences. We have incorporated a high-throughput tumor genotyping program based on the ABI SNaPshot platform as well as other molecular diagnostic tests into the standard evaluation of glioma patients in order to assess whether prospective molecular profiling would allow rational patient selection onto clinical trials. From 218 gliomas we prospectively collected SNaPshot genotyping data on 68 mutated loci from 15 key cancer genes along with data from clinical assays for gene amplification (EGFR, PDGFRA, MET), 1p/19q co-deletion and MGMT promoter methylation. SNaPshot mutations and focal gene amplifications were detected in 38.5 and 47.1 % of glioblastomas, respectively. Genetic alterations in EGFR, IDH1 and PIK3CA closely matched frequencies reported in recent studies. In addition, we identified events that are rare in gliomas although are known driver mutations in other cancer types, such as mutations of AKT1, BRAF and KRAS. Patients with genetic alterations that activate signaling pathways were enrolled onto genetically selective clinical trials for malignant glioma as well as for other solid cancers. High-throughput molecular profiling incorporated into the routine clinical evaluation of glioma patients may enable the rational selection of patients for targeted therapy clinical trials and thereby improve the likelihood that such trials succeed.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ukraine 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 9 16%
Professor > Associate Professor 7 12%
Student > Master 6 10%
Student > Doctoral Student 4 7%
Other 14 24%
Unknown 7 12%
Readers by discipline Count As %
Medicine and Dentistry 19 33%
Agricultural and Biological Sciences 15 26%
Biochemistry, Genetics and Molecular Biology 6 10%
Neuroscience 3 5%
Sports and Recreations 1 2%
Other 3 5%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 January 2024.
All research outputs
#7,012,293
of 22,957,478 outputs
Outputs from Journal of Neuro-Oncology
#929
of 2,985 outputs
Outputs of similar age
#49,021
of 163,844 outputs
Outputs of similar age from Journal of Neuro-Oncology
#6
of 23 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,985 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 67% 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 163,844 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 68% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.