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Updated: May 10, 2026

An Immunofluorescent Method for Characterization of Barrett’s Esophagus Cells
Published on: July 20, 2014
NSAIDs modulate clonal evolution in Barrett's esophagus
Rumen L Kostadinov1, Mary K Kuhner, Xiaohong Li
1Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Abstract:
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.
Insights
Non-steroidal anti-inflammatory drugs (NSAIDs) significantly reduce the rate of somatic genomic abnormalities (SGAs) in Barrett's esophagus (BE) cells. This finding suggests NSAIDs may prevent esophageal adenocarcinoma (EA) by slowing cancer-driving genetic changes.
Area of Science:
- Oncology
- Genetics
- Pharmacology
Background:
- Cancer develops through decades of clonal evolution driven by somatic genomic abnormalities (SGAs).
- Non-steroidal anti-inflammatory drugs (NSAIDs) are known to reduce cancer risk, including progression from Barrett's esophagus (BE) to esophageal adenocarcinoma (EA).
- The precise mechanisms by which NSAIDs exert their cancer chemopreventive effects remain incompletely understood.
Purpose of the Study:
- To investigate the hypothesis that NSAIDs modulate cancer clonal evolution by decreasing the rate of SGA acquisition.
- To quantify the rate of SGA acquisition in BE patients with and without NSAID use.
Main Methods:
- Analysis of 161 BE biopsies from 13 individuals over 6.4-19 years using 1Million-SNP arrays to detect SGAs.
- Comparison of SGA acquisition rates in individuals who initiated or discontinued NSAID use.
- Quantification of the number and genomic impact of SGAs over time.
Main Results:
- The estimated SGA rate was significantly lower when on NSAIDs (0.6 per genome/year) compared to off NSAIDs (7.8 per genome/year).
- NSAID use was associated with a reduced rate of SGA acquisition in 11 out of 13 individuals.
- Most BE patients maintained a stable level of SGAs, with occasional clonal expansions observed.
Conclusions:
- NSAIDs are associated with a substantial reduction in the rate of somatic genomic abnormality acquisition in Barrett's esophagus.
- This mechanism likely contributes to the cancer chemopreventive effects of NSAIDs against esophageal adenocarcinoma.
- NSAIDs may represent a viable strategy for chemoprevention by stabilizing the genomic landscape of pre-cancerous lesions.
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