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Gene expression identifies heterogeneity of metastatic behavior among gastrointestinal stromal tumors

Overview of attention for article published in Journal of Translational Medicine, February 2016
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Title
Gene expression identifies heterogeneity of metastatic behavior among gastrointestinal stromal tumors
Published in
Journal of Translational Medicine, February 2016
DOI 10.1186/s12967-016-0802-3
Pubmed ID
Authors

Keith M. Skubitz, Kate Geschwind, Wayne W. Xu, Joseph S. Koopmeiners, Amy P. N. Skubitz

Abstract

Adjuvant imatinib is useful in patients with gastrointestinal stromal tumors (GIST) at high risk of recurrence. At present, the risk of recurrence is determined based on tumor size, mitotic rate, tumor site, and tumor rupture. Previous studies using various biochemical pathways identified gene expression patterns that distinguish two subsets of aggressive fibromatosis (AF), serous ovarian carcinoma (OVCA), and clear cell renal cell carcinoma (RCC). These gene sets separated soft tissue sarcomas into two groups with different probabilities of developing metastatic disease. The present study used these gene sets to identify GIST subgroups with different probabilities of developing metastatic disease. We utilized these three gene sets, hierarchical clustering, and Kaplan-Meier analysis, to examine 60 primary resected GIST samples using Agilent chip expression profiling. Hierarchical clustering using both the combined and individual AF-, OVCA-, and RCC- gene sets identified differences in probabilities of developing metastatic disease between the clusters defined by the first branch point of the clustering dendrograms (p = 0.029 for the combined gene set, p = 0.003 for the AF-gene set, p < 0.001 for the OVCA-gene set, and p = 0.003 for the RCC-gene set). Hierarchical clustering using these gene sets identified at least two subsets of GIST with distinct clinical behavior and risk of metastatic disease. The use of gene expression analysis along with other known prognostic factors may better predict the long-term outcome following surgery, and thus restrict the use of adjuvant therapy to high-risk GIST, and reduce heterogeneity among groups in clinical trials of new drugs.

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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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Master 3 19%
Other 2 13%
Student > Postgraduate 2 13%
Researcher 2 13%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Psychology 3 19%
Computer Science 2 13%
Business, Management and Accounting 1 6%
Physics and Astronomy 1 6%
Other 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2016.
All research outputs
#14,249,851
of 22,849,304 outputs
Outputs from Journal of Translational Medicine
#1,783
of 3,999 outputs
Outputs of similar age
#210,999
of 400,824 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 78 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,999 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% 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 400,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 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 53% of its contemporaries.