Dataset Information

Age of diagnosis in familial Barrett's associated neoplasia.

ABSTRACT: The identification of hereditary cancer genes for esophageal adenocarcinoma (EAC) and its precursor, Barrett's esophagus (BE), may prove critical for the development of novel prevention and treatment strategies. Specifically, efforts for detecting BE and EAC susceptibility genes have focused on families with three or more affected members, since these individuals have an earlier age onset compared to non-familial individuals. Given that the use of BE may overestimate the likelihood of disease heritability, we evaluated the age of diagnosis in kindreds with a restricted definition including only confirmed high-grade dysplasia (HGD) or EAC. The Familial Barrett's Esophagus Consortium database was used to identify individuals with HGD and EAC. These individuals were subsequently split into three kindred groups: non-familial-a single affected family member, duplex-two affected family members, and multiplex-three or more affected family members. Age of cancer diagnosis and other risk factors were compared between individuals in these groups. The study included 441 non-familial, 46 duplex, and 13 multiplex individuals. There was a statistically significant difference for age of diagnosis for individuals in the multiplex families compared to the non-familial and duplex families (56.0 versus 64.3, 63.5; p = 0.049). There was no significant difference between demographic factors and other cancer risk factors between family types. The results of this study support a genetic basis for familial Barrett's associated neoplasia and evaluation of the genetic susceptibility to this disease should continue to focus on families with multiple (three or more) affected members.

SUBMITTER: Glamour BK

PROVIDER: S-EPMC9469732 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Age of diagnosis in familial Barrett's associated neoplasia.

Glamour Benita K BK Alaber Omar O Cioffi Gino G Chandar Apoorva K AK Barnholtz-Sloan Jill J Brock Wendy W Falk Gary W GW Canto Marcia I MI Wang Jean S JS Iyer Prasad G PG Shaheen Nicholas J NJ Grady William M WM Abrams Julian A JA Thota Prashanthi N PN Chak Amitabh A Blum Andrew E AE

Familial cancer 20210311 1

The identification of hereditary cancer genes for esophageal adenocarcinoma (EAC) and its precursor, Barrett's esophagus (BE), may prove critical for the development of novel prevention and treatment strategies. Specifically, efforts for detecting BE and EAC susceptibility genes have focused on families with three or more affected members, since these individuals have an earlier age onset compared to non-familial individuals. Given that the use of BE may overestimate the likelihood of disease he ...[more]

PMID: 33694069

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Project description:Early detection of esophageal neoplasia enables curative endoscopic therapy, but the current diagnostic standard of care has low sensitivity because early neoplasia is often inconspicuous with conventional white-light endoscopy. Here, we hypothesized that spectral endoscopy could enhance contrast for neoplasia in surveillance of patients with Barrett's esophagus. A custom spectral endoscope was deployed in a pilot clinical study of 20 patients to capture 715 in vivo tissue spectra matched with gold standard diagnosis from histopathology. Spectral endoscopy was sensitive to changes in neovascularization during the progression of disease; both non-dysplastic and neoplastic Barrett's esophagus showed higher blood volume relative to healthy squamous tissue (P = 0.001 and 0.02, respectively), and vessel radius appeared larger in neoplasia relative to non-dysplastic Barrett's esophagus (P = 0.06). We further developed a deep learning algorithm capable of classifying spectra of neoplasia versus non-dysplastic Barrett's esophagus with high accuracy (84.8% accuracy, 83.7% sensitivity, 85.5% specificity, 78.3% positive predictive value, and 89.4% negative predictive value). Exploiting the newly acquired library of labeled spectra to model custom color filter sets identified a potential 12-fold enhancement in contrast between neoplasia and non-dysplastic Barrett's esophagus using application-specific color filters compared with standard-of-care white-light imaging (perceptible color difference = 32.4 and 2.7, respectively). This work demonstrates the potential of endoscopic spectral imaging to extract vascular properties in Barrett's esophagus, to classify disease stages using deep learning, and to enable high-contrast endoscopy. SIGNIFICANCE: The results of this pilot first-in-human clinical trial demonstrate the potential of spectral endoscopy to reveal disease-associated vascular changes and to provide high-contrast delineation of neoplasia in the esophagus. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/12/3415/F1.large.jpg.

Dataset Information

Age of diagnosis in familial Barrett's associated neoplasia.

Publications

Age of diagnosis in familial Barrett's associated neoplasia.

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