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Mutational load may predict risk of progression in patients with Barrett’s oesophagus and indefinite for dysplasia: a pilot study
  1. Arvind J Trindade1,
  2. Matthew J McKinley2,
  3. Mohammad Alshelleh1,
  4. Gabriel Levi3,
  5. Molly Stewart1,
  6. Kathy J Quinn4,
  7. Rebecca M Thomas4
  1. 1 Division of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Northwell Health System, New Hyde Park, New York, USA
  2. 2 Division of Gastroenterology, ProHEALTH Care Associates, Lake Success, New York, USA
  3. 3 Division of Pathology, ProHEALTH Care Associates, Lake Success, New York, USA
  4. 4 Division of Pathology, Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Northwell Health System, New Hyde Park, New York, USA
  1. Correspondence to Dr Arvind J Trindade; arvind.trindade{at}gmail.com

Abstract

Background and aims Mutational load (ML) has been shown to help risk-stratify those that may progress from non-dysplastic Barrett’s oesophagus (BE) to dysplastic disease. Management of patients with BE and indefinite for dysplasia (BE-IND) is challenging and risk stratification tools are lacking. The aim of this pilot study is to evaluate the utility of ML for risk stratification in patients with BE-IND.

Methods This is a single-centre, retrospective pilot study evaluating ML quantification in patients with BE-IND. Histology at follow-up endoscopy at least 1 year after the baseline endoscopy was used to determine if a patient progressed to low or high dysplasia. The ML levels were then compared among patients who progressed to dysplasia versus those who did not.

Results Thirty-five patients who met the inclusion criteria were identified, and seven met the exclusion criteria. Twenty-eight patients were analysed, of whom eight progressed to low-grade dysplasia (6) and high-grade dysplasia (2). Seven of these eight patients had some level of genomic instability detected in their IND biopsy (ML ≥0.5). Ten of the 20 (50%) who did not progress had no ML level. At an ML cut-off above 1.5, the risk of progression to high-grade dysplasia was 33% vs 0% (p=0.005), with a sensitivity of 100% and a specificity of 85%.

Conclusion These results indicate that ML may be able to risk-stratify progression to high-grade dysplasia in BE-IND. Larger studies are needed to confirm these findings.

  • esophageal cancer
  • DNA
  • risk stratification
  • genomic instability

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Contributors Conception and design: AJT, RMT. Analysis and interpretation of the data: AJT, MJM, MA, GL, MS, KJQ, RMT. Drafting of the article: AJT, MJM, MA, GL, MS, KJQ, RMT. Critical revision of the article for important intellectual content: AJT, MJM, MA, GL, MS, KJQ, RMT. Final approval of the article: AJT, MJM, MA, GL, MS, KJQ, RMT.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors. Interpace Diagnostics kindly supported the open access charges for this article. Interpace was not involved in the trial design, conduct of the trial, or preparation of the manuscript.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval The study was approved by the Zucker School of Medicine Institutional Review Board. All research was performed in accordance with all relevant guidelines/regulations and conforms to the ethical guidelines of the 1975 Declaration of Helsinki. Informed consent was obtained from all participants.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Specific requests for data included in this study can be made to Arvind.trindade@gmail.com.