A Tissue Systems Pathology Assay for High-Risk Barrett's Esophagus

Better methods are needed to predict risk of progression for Barrett's esophagus. We aimed to determine whether a tissue systems pathology approach could predict progression in patients with nondysplastic Barrett's esophagus, indefinite for dysplasia, or low-grade dysplasia. We performed a...

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Veröffentlicht in:Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2016-06, Vol.25 (6), p.958-968
Hauptverfasser: Critchley-Thorne, Rebecca J, Duits, Lucas C, Prichard, Jeffrey W, Davison, Jon M, Jobe, Blair A, Campbell, Bruce B, Zhang, Yi, Repa, Kathleen A, Reese, Lia M, Li, Jinhong, Diehl, David L, Jhala, Nirag C, Ginsberg, Gregory, DeMarshall, Maureen, Foxwell, Tyler, Zaidi, Ali H, Lansing Taylor, D, Rustgi, Anil K, Bergman, Jacques J G H M, Falk, Gary W
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container_end_page 968
container_issue 6
container_start_page 958
container_title Cancer epidemiology, biomarkers & prevention
container_volume 25
creator Critchley-Thorne, Rebecca J
Duits, Lucas C
Prichard, Jeffrey W
Davison, Jon M
Jobe, Blair A
Campbell, Bruce B
Zhang, Yi
Repa, Kathleen A
Reese, Lia M
Li, Jinhong
Diehl, David L
Jhala, Nirag C
Ginsberg, Gregory
DeMarshall, Maureen
Foxwell, Tyler
Zaidi, Ali H
Lansing Taylor, D
Rustgi, Anil K
Bergman, Jacques J G H M
Falk, Gary W
description Better methods are needed to predict risk of progression for Barrett's esophagus. We aimed to determine whether a tissue systems pathology approach could predict progression in patients with nondysplastic Barrett's esophagus, indefinite for dysplasia, or low-grade dysplasia. We performed a nested case-control study to develop and validate a test that predicts progression of Barrett's esophagus to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC), based upon quantification of epithelial and stromal variables in baseline biopsies. Data were collected from Barrett's esophagus patients at four institutions. Patients who progressed to HGD or EAC in ≥1 year (n = 79) were matched with patients who did not progress (n = 287). Biopsies were assigned randomly to training or validation sets. Immunofluorescence analyses were performed for 14 biomarkers and quantitative biomarker and morphometric features were analyzed. Prognostic features were selected in the training set and combined into classifiers. The top-performing classifier was assessed in the validation set. A 3-tier, 15-feature classifier was selected in the training set and tested in the validation set. The classifier stratified patients into low-, intermediate-, and high-risk classes [HR, 9.42; 95% confidence interval, 4.6-19.24 (high-risk vs. low-risk); P < 0.0001]. It also provided independent prognostic information that outperformed predictions based on pathology analysis, segment length, age, sex, or p53 overexpression. We developed a tissue systems pathology test that better predicts risk of progression in Barrett's esophagus than clinicopathologic variables. The test has the potential to improve upon histologic analysis as an objective method to risk stratify Barrett's esophagus patients. Cancer Epidemiol Biomarkers Prev; 25(6); 958-68. ©2016 AACR.
doi_str_mv 10.1158/1055-9965.EPI-15-1164
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We aimed to determine whether a tissue systems pathology approach could predict progression in patients with nondysplastic Barrett's esophagus, indefinite for dysplasia, or low-grade dysplasia. We performed a nested case-control study to develop and validate a test that predicts progression of Barrett's esophagus to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC), based upon quantification of epithelial and stromal variables in baseline biopsies. Data were collected from Barrett's esophagus patients at four institutions. Patients who progressed to HGD or EAC in ≥1 year (n = 79) were matched with patients who did not progress (n = 287). Biopsies were assigned randomly to training or validation sets. Immunofluorescence analyses were performed for 14 biomarkers and quantitative biomarker and morphometric features were analyzed. Prognostic features were selected in the training set and combined into classifiers. The top-performing classifier was assessed in the validation set. A 3-tier, 15-feature classifier was selected in the training set and tested in the validation set. The classifier stratified patients into low-, intermediate-, and high-risk classes [HR, 9.42; 95% confidence interval, 4.6-19.24 (high-risk vs. low-risk); P &lt; 0.0001]. It also provided independent prognostic information that outperformed predictions based on pathology analysis, segment length, age, sex, or p53 overexpression. We developed a tissue systems pathology test that better predicts risk of progression in Barrett's esophagus than clinicopathologic variables. The test has the potential to improve upon histologic analysis as an objective method to risk stratify Barrett's esophagus patients. 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subjects Adenocarcinoma - diagnosis
Adenocarcinoma - metabolism
Adult
Aged
Barrett Esophagus - diagnosis
Barrett Esophagus - metabolism
Barrett Esophagus - pathology
Biomarkers, Tumor - analysis
Biopsy
Case-Control Studies
Disease Progression
Esophageal Neoplasms - diagnosis
Esophageal Neoplasms - metabolism
Esophagus - metabolism
Esophagus - pathology
False Positive Reactions
Female
Fluorescent Antibody Technique - methods
Humans
Male
Microscopy, Fluorescence
Middle Aged
Prognosis
title A Tissue Systems Pathology Assay for High-Risk Barrett's Esophagus
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