Barrett's esophagus is the only known mucosal precursor for the highly malignant esophageal adenocarcinoma. Malignant degeneration of non-dysplastic Barrett's esophagus occurs in < 0.6% per year in Dutch surveillance cohorts. Therefore, it has been proposed to increase the surveillance intervals from 3 to 5 years, potentially increasing development of advanced stage interval cancers. To prevent such cases robust biomarkers for more optimal stratification over longer follow up periods for non-dysplastic Barrett's patients are required. In this multi-center study, aberrations for chromosomes 7, 17, and structural abnormalities for c-MYC, CDKN2A, TP53, Her-2/neu and 20q assessed by DNA fluorescence in situ hybridization on brush cytology specimens, were used to determine marker scores and to perform clonal diversity measurements, as described previously. In this study, these genetic biomarkers were combined with clinical variables and analyzed to obtain the most efficient cancer prediction model after an extended period of follow-up (median time of 7 years) by applying Cox regression modeling, bootstrapping and leave-one-out analyses. A total of 334 patients with Barrett's esophagus without dysplasia from 6 community hospitals (n = 220) and one academic center (n = 114) were included. The annual progression rate to high grade dysplasia and/or esophageal adenocarcinoma was 1.3%, and to adenocarcinoma alone 0.85%. A prediction model including age, Barrett circumferential length, and a clonicity score over the genomic set including chromosomes 7, 17, 20q and c-MYC, resulted in an area under the curve of 0.88. The sensitivity and specificity of this model were 0.91 and 0.38. The positive and negative predictive values were 0.13 (95% CI 0.09 to 0.19) and 0.97 (95% CI 0.93 to 0.99). We propose the implementation of the model to identify non-dysplastic Barrett's patients, who are required to remain in surveillance programs with 3-yearly surveillance intervals from those that can benefit from less frequent or no surveillance.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153893 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0231419 | PLOS |
Am J Gastroenterol
January 2025
Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Background And Aims: We sought to develop a minimally-invasive, robust, accessible nonendoscopic strategy to diagnose Barrett's esophagus (BE), esophageal adenocarcinoma (EAC), and its immediate precursor lesion, high-grade dysplasia (HGD) based on methylated DNA biomarkers applied to a retrievable sponge-capsule device in a cohort representative of the BE population (i.e., mostly short-segment, non-dysplastic BE, NDBE).
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Dow Medical College, Dow University of Health Sciences, Karachi 74200, Pakistan.
: Barrett's esophagus (BE), with metaplastic columnar epithelium in the lower esophagus, predisposes patients to esophageal adenocarcinoma (EAC). Despite extensive research, mechanisms underlying BE progression to EAC remain unclear, and no validated biomarkers are available for clinical use. Progastricsin/Pepsinogen-C (PGC), an aspartic proteinase linked to maintaining normal epithelial morphology, is often absent in advanced gastrointestinal malignancies.
View Article and Find Full Text PDFClin Endosc
November 2024
Department of Upper Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden.
JGH Open
September 2024
Department of Gastroenterology and Hepatology Lyell McEwin Hospital, SA Health Elizabeth Vale South Australia Australia.
Background And Aim: Various deep learning models, based on convolutional neural network (CNN), have been shown to improve the detection of early esophageal neoplasia in Barrett's esophagus. Vision transformer (ViT), derived from natural language processing, has emerged as the new state-of-the-art for image recognition, outperforming predecessors such as CNN. This pilot study explores the use of ViT to classify the presence or absence of early esophageal neoplasia in endoscopic images of Barrett's esophagus.
View Article and Find Full Text PDFRev Med Chil
October 2023
Nottingham Digestive Diseases Centre, The University of Nottingham, Nottingham, United Kingdom.
Barrett's esophagus (BE) is the condition in which a metaplastic columnar mucosa predisposed to neoplasia replaces the squamous mucosa of the distal esophagus. The current guidelines recommends that diagnosis requires the finding of intestinal metaplasia (IM) with goblet cells of at least 1 cm in length. BE affects approximately 1% of the general population and up to 14% of patients with gastroesophageal reflux disease (GERD).
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