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NSAID use and somatic exomic mutations in Barrett’s esophagus

Overview of attention for article published in Genome Medicine, February 2018
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
NSAID use and somatic exomic mutations in Barrett’s esophagus
Published in
Genome Medicine, February 2018
DOI 10.1186/s13073-018-0520-y
Pubmed ID
Authors

Patricia C. Galipeau, Kenji M. Oman, Thomas G. Paulson, Carissa A. Sanchez, Qing Zhang, Jerry A. Marty, Jeffrey J. Delrow, Mary K. Kuhner, Thomas L. Vaughan, Brian J. Reid, Xiaohong Li

Abstract

Use of aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) has been shown to protect against tetraploidy, aneuploidy, and chromosomal alterations in the metaplastic condition Barrett's esophagus (BE) and to lower the incidence and mortality of esophageal adenocarcinoma (EA). The esophagus is exposed to both intrinsic and extrinsic mutagens resulting from gastric reflux, chronic inflammation, and exposure to environmental carcinogens such as those found in cigarettes. Here we test the hypothesis that NSAID use inhibits accumulation of point mutations/indels during somatic genomic evolution in BE. Whole exome sequences were generated from 82 purified epithelial biopsies and paired blood samples from a cross-sectional study of 41 NSAID users and 41 non-users matched by sex, age, smoking, and continuous time using or not using NSAIDs. NSAID use reduced overall frequency of point mutations across the spectrum of mutation types, lowered the frequency of mutations even when adjusted for both TP53 mutation and smoking status, and decreased the prevalence of clones with high variant allele frequency. Never smokers who consistently used NSAIDs had fewer point mutations in signature 17, which is commonly found in EA. NSAID users had, on average, a 50% reduction in functional gene mutations in nine cancer-associated pathways and also had less diversity in pathway mutational burden compared to non-users. These results indicate NSAID use functions to limit overall mutations on which selection can act and supports a model in which specific mutant cell populations survive or expand better in the absence of NSAIDs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 6 18%
Other 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 8 24%
Unknown 4 12%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Biochemistry, Genetics and Molecular Biology 8 24%
Agricultural and Biological Sciences 4 12%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 2 6%
Unknown 5 15%
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 03 November 2018.
All research outputs
#7,547,176
of 23,025,074 outputs
Outputs from Genome Medicine
#1,138
of 1,448 outputs
Outputs of similar age
#132,122
of 330,058 outputs
Outputs of similar age from Genome Medicine
#21
of 24 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 18th percentile – i.e., 18% 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 330,058 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 53% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.