NSAIDs Modulate Clonal Evolution in Barrett's Esophagus
PLoS Genetics, ISSN: 1553-7390, Vol: 9, Issue: 6, Page: e1003553
2013
- 61Citations
- 98Captures
- 2Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations61
- Citation Indexes61
- 61
- CrossRef49
- Captures98
- Readers98
- 98
- Mentions2
- News Mentions2
- 2
Most Recent News
Why Cancer Isn’t Going Anywhere
This article is part of Future Tense, a collaboration among Arizona State University, New America, and Slate. On Thursday, April 27, at noon, Future Tense will host an event in Washington called “Do We Need to Stop Talking About ‘Curing’ Cancer?” For more information and to RSVP, visit the New America website. If your life has been touched by it, cancer can seem like the least normal thing imagina
Article Description
Cancer is considered an outcome of decades-long clonal evolution fueled by acquisition of somatic genomic abnormalities (SGAs). Non-steroidal anti-inflammatory drugs (NSAIDs) have been shown to reduce cancer risk, including risk of progression from Barrett's esophagus (BE) to esophageal adenocarcinoma (EA). However, the cancer chemopreventive mechanisms of NSAIDs are not fully understood. We hypothesized that NSAIDs modulate clonal evolution by reducing SGA acquisition rate. We evaluated thirteen individuals with BE. Eleven had not used NSAIDs for 6.2±3.5 (mean±standard deviation) years and then began using NSAIDs for 5.6±2.7 years, whereas two had used NSAIDs for 3.3±1.4 years and then discontinued use for 7.9±0.7 years. 161 BE biopsies, collected at 5-8 time points over 6.4-19 years, were analyzed using 1Million-SNP arrays to detect SGAs. Even in the earliest biopsies there were many SGAs (284±246 in 10/13 and 1442±560 in 3/13 individuals) and in most individuals the number of SGAs changed little over time, with both increases and decreases in SGAs detected. The estimated SGA rate was 7.8 per genome per year (95% support interval [SI], 7.1-8.6) off-NSAIDs and 0.6 (95% SI 0.3-1.5) on-NSAIDs. Twelve individuals did not progress to EA. In ten we detected 279±86 SGAs affecting 53±30 Mb of the genome per biopsy per time point and in two we detected 1,463±375 SGAs affecting 180±100 Mb. In one individual who progressed to EA we detected a clone having 2,291±78 SGAs affecting 588±18 Mb of the genome at three time points in the last three of 11.4 years of follow-up. NSAIDs were associated with reduced rate of acquisition of SGAs in eleven of thirteen individuals. Barrett's cells maintained relative equilibrium level of SGAs over time with occasional punctuations by expansion of clones having massive amount of SGAs. © 2013 Kostadinov et al.
Bibliographic Details
10.1371/journal.pgen.1003553; 10.1371/journal.pgen.1003553.g003; 10.1371/journal.pgen.1003553.g001; 10.1371/journal.pgen.1003553.g002; 10.1371/journal.pgen.1003553.g004; 10.1371/journal.pgen.1003553.g005; 10.1371/journal.pgen.1003553.g006
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84879641253&origin=inward; http://dx.doi.org/10.1371/journal.pgen.1003553; http://www.ncbi.nlm.nih.gov/pubmed/23785299; https://dx.plos.org/10.1371/journal.pgen.1003553.g003; http://dx.doi.org/10.1371/journal.pgen.1003553.g003; https://dx.plos.org/10.1371/journal.pgen.1003553.g001; http://dx.doi.org/10.1371/journal.pgen.1003553.g001; https://dx.plos.org/10.1371/journal.pgen.1003553.g002; http://dx.doi.org/10.1371/journal.pgen.1003553.g002; https://dx.plos.org/10.1371/journal.pgen.1003553.g004; http://dx.doi.org/10.1371/journal.pgen.1003553.g004; https://dx.plos.org/10.1371/journal.pgen.1003553.g005; http://dx.doi.org/10.1371/journal.pgen.1003553.g005; https://dx.plos.org/10.1371/journal.pgen.1003553; https://dx.plos.org/10.1371/journal.pgen.1003553.g006; http://dx.doi.org/10.1371/journal.pgen.1003553.g006; https://dx.doi.org/10.1371/journal.pgen.1003553.g001; https://journals.plos.org/plosgenetics/article/figure?id=10.1371/journal.pgen.1003553.g001; https://dx.doi.org/10.1371/journal.pgen.1003553.g002; https://journals.plos.org/plosgenetics/article/figure?id=10.1371/journal.pgen.1003553.g002; https://dx.doi.org/10.1371/journal.pgen.1003553; https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003553; https://dx.doi.org/10.1371/journal.pgen.1003553.g005; https://journals.plos.org/plosgenetics/article/figure?id=10.1371/journal.pgen.1003553.g005; https://dx.doi.org/10.1371/journal.pgen.1003553.g004; https://journals.plos.org/plosgenetics/article/figure?id=10.1371/journal.pgen.1003553.g004; https://dx.doi.org/10.1371/journal.pgen.1003553.g006; https://journals.plos.org/plosgenetics/article/figure?id=10.1371/journal.pgen.1003553.g006; https://dx.doi.org/10.1371/journal.pgen.1003553.g003; https://journals.plos.org/plosgenetics/article/figure?id=10.1371/journal.pgen.1003553.g003; http://dx.plos.org/10.1371/journal.pgen.1003553.g001; http://dx.plos.org/10.1371/journal.pgen.1003553.g005; http://dx.plos.org/10.1371/journal.pgen.1003553.g002; http://dx.plos.org/10.1371/journal.pgen.1003553.g003; http://dx.plos.org/10.1371/journal.pgen.1003553.g006; http://journals.plos.org/plosgenetics/article?id=10.1371%2Fjournal.pgen.1003553; https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003553&type=printable; http://dx.plos.org/10.1371/journal.pgen.1003553.g004; http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003553; http://www.plosone.org/article/metrics/info:doi/10.1371/journal.pgen.1003553; http://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003553&type=printable; http://dx.plos.org/10.1371/journal.pgen.1003553
Public Library of Science (PLoS)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know