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High-throughput profiling identifies clinically actionable mutations in salivary duct carcinoma

Overview of attention for article published in Journal of Translational Medicine, October 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
High-throughput profiling identifies clinically actionable mutations in salivary duct carcinoma
Published in
Journal of Translational Medicine, October 2014
DOI 10.1186/s12967-014-0299-6
Pubmed ID
Authors

Bo Mi Ku, Hyun Ae Jung, Jong-Mu Sun, Young Hyeh Ko, Han-Sin Jeong, Young-Ik Son, Chung-Hwan Baek, Keunchil Park, Myung-Ju Ahn

Abstract

BackgroundSalivary duct carcinoma (SDC) is a highly aggressive subtype of salivary gland cancers and there is no established standard therapy for this disease. Thus, development of molecular markers for SDC will be important to guide the diagnosis and therapy of this aggressive tumor.MethodsWe performed next-generation sequencing using the Ion Torrent AmpliSeq cancer panel, which explores the mutational status of hotspot regions in 50 cancer-associated genes, and we analyzed copy number variations (CNVs) of 21 genes by NanoString nCounter for 37 patients with SDC. Fluorescent in situ hybridization was also conducted to confirm ERBB2 gene amplification. Clinical records and tumor histopathology of the patients were retrospectively reviewed.ResultsGenetic alterations were detected in 29 of 37 (78.3%) tumors, including mutations in PIK3CA (N¿=¿9, 24.3%), ERBB2 (N¿=¿4, 10.8%), and EGFR (N¿=¿4, 10.8%). To our knowledge, this is the first time that ERBB2 mutations have been reported in this tumor type. Both PIK3CA and ERBB2 mutation status were associated with poor overall survival, but without statistical significance. ERBB2 amplification was strong and common in SDC and almost all cases also exhibited EGFR and ERBB3 amplifications.ConclusionsThis study reports the largest and most comprehensive analysis of DNA aberrations in SDC. Our results show that PIK3CA and/or ERBB2 alterations in the development of SDC might be a useful diagnostic tool and could serve as a potential therapeutic target.

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The data shown below were collected from the profiles of 3 X users 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Researcher 6 13%
Student > Master 6 13%
Student > Bachelor 3 7%
Other 3 7%
Other 8 18%
Unknown 12 27%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Agricultural and Biological Sciences 5 11%
Biochemistry, Genetics and Molecular Biology 3 7%
Psychology 3 7%
Engineering 1 2%
Other 0 0%
Unknown 17 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 October 2014.
All research outputs
#13,182,017
of 22,768,097 outputs
Outputs from Journal of Translational Medicine
#1,520
of 3,982 outputs
Outputs of similar age
#121,169
of 260,148 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 85 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,982 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 60% 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 260,148 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 52% of its contemporaries.
We're also able to compare this research output to 85 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 67% of its contemporaries.