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

Rebecca J. Critchley-Thorne(Cernostics (United States)), Lucas C. Duits(Amsterdam UMC Location University of Amsterdam), Jeffrey W. Prichard(Geisinger Medical Center), Jon M. Davison(University of Pittsburgh Medical Center), Blair A. Jobe(Allegheny Health Network), Bruce B. Campbell(Cernostics (United States)), Yi Zhang(Cernostics (United States)), Kathleen Repa(Cernostics (United States)), Lia M. Reese(Cernostics (United States)), Jinhong Li(Geisinger Medical Center), David L. Diehl(Geisinger Medical Center), Nirag Jhala(University of Pennsylvania), Gregory G. Ginsberg(University of Pennsylvania), Maureen DeMarshall(University of Pennsylvania), Tyler Foxwell(University of Pittsburgh Medical Center), Ali H. Zaidi(Allegheny Health Network), D. Lansing Taylor(University of Pittsburgh), Anil K. Rustgi(University of Pennsylvania), Jacques Bergman(Amsterdam UMC Location University of Amsterdam), Gary W. Falk(University of Pennsylvania)
Cancer Epidemiology Biomarkers & Prevention
May 14, 2016
Cited by 59Open Access
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Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: We developed a tissue systems pathology test that better predicts risk of progression in Barrett's esophagus than clinicopathologic variables. IMPACT: 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.


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