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Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features
BACKGROUND: Barrett's esophagus predisposes to esophageal adenocarcinoma. However, the value of endoscopic surveillance in Barrett's esophagus has been debated because of the low incidence of esophageal adenocarcinoma in Barrett's esophagus. Moreover, high inter-observer and sampling-...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270339/ https://www.ncbi.nlm.nih.gov/pubmed/18382671 http://dx.doi.org/10.1371/journal.pone.0001890 |
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author | Sato, Fumiaki Jin, Zhe Schulmann, Karsten Wang, Jean Greenwald, Bruce D. Ito, Tetsuo Kan, Takatsugu Hamilton, James P. Yang, Jian Paun, Bogdan David, Stefan Olaru, Alexandru Cheng, Yulan Mori, Yuriko Abraham, John M. Yfantis, Harris G. Wu, Tsung-Teh Fredericksen, Mary B. Wang, Kenneth K. Canto, Marcia Romero, Yvonne Feng, Ziding Meltzer, Stephen J. |
author_facet | Sato, Fumiaki Jin, Zhe Schulmann, Karsten Wang, Jean Greenwald, Bruce D. Ito, Tetsuo Kan, Takatsugu Hamilton, James P. Yang, Jian Paun, Bogdan David, Stefan Olaru, Alexandru Cheng, Yulan Mori, Yuriko Abraham, John M. Yfantis, Harris G. Wu, Tsung-Teh Fredericksen, Mary B. Wang, Kenneth K. Canto, Marcia Romero, Yvonne Feng, Ziding Meltzer, Stephen J. |
author_sort | Sato, Fumiaki |
collection | PubMed |
description | BACKGROUND: Barrett's esophagus predisposes to esophageal adenocarcinoma. However, the value of endoscopic surveillance in Barrett's esophagus has been debated because of the low incidence of esophageal adenocarcinoma in Barrett's esophagus. Moreover, high inter-observer and sampling-dependent variation in the histologic staging of dysplasia make clinical risk assessment problematic. In this study, we developed a 3-tiered risk stratification strategy, based on systematically selected epigenetic and clinical parameters, to improve Barrett's esophagus surveillance efficiency. METHODS AND FINDINGS: We defined high-grade dysplasia as endpoint of progression, and Barrett's esophagus progressor patients as Barrett's esophagus patients with either no dysplasia or low-grade dysplasia who later developed high-grade dysplasia or esophageal adenocarcinoma. We analyzed 4 epigenetic and 3 clinical parameters in 118 Barrett's esophagus tissues obtained from 35 progressor and 27 non-progressor Barrett's esophagus patients from Baltimore Veterans Affairs Maryland Health Care Systems and Mayo Clinic. Based on 2-year and 4-year prediction models using linear discriminant analysis (area under the receiver-operator characteristic (ROC) curve: 0.8386 and 0.7910, respectively), Barrett's esophagus specimens were stratified into high-risk (HR), intermediate-risk (IR), or low-risk (LR) groups. This 3-tiered stratification method retained both the high specificity of the 2-year model and the high sensitivity of the 4-year model. Progression-free survivals differed significantly among the 3 risk groups, with p = 0.0022 (HR vs. IR) and p<0.0001 (HR or IR vs. LR). Incremental value analyses demonstrated that the number of methylated genes contributed most influentially to prediction accuracy. CONCLUSIONS: This 3-tiered risk stratification strategy has the potential to exert a profound impact on Barrett's esophagus surveillance accuracy and efficiency. |
format | Text |
id | pubmed-2270339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-22703392008-04-02 Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features Sato, Fumiaki Jin, Zhe Schulmann, Karsten Wang, Jean Greenwald, Bruce D. Ito, Tetsuo Kan, Takatsugu Hamilton, James P. Yang, Jian Paun, Bogdan David, Stefan Olaru, Alexandru Cheng, Yulan Mori, Yuriko Abraham, John M. Yfantis, Harris G. Wu, Tsung-Teh Fredericksen, Mary B. Wang, Kenneth K. Canto, Marcia Romero, Yvonne Feng, Ziding Meltzer, Stephen J. PLoS One Research Article BACKGROUND: Barrett's esophagus predisposes to esophageal adenocarcinoma. However, the value of endoscopic surveillance in Barrett's esophagus has been debated because of the low incidence of esophageal adenocarcinoma in Barrett's esophagus. Moreover, high inter-observer and sampling-dependent variation in the histologic staging of dysplasia make clinical risk assessment problematic. In this study, we developed a 3-tiered risk stratification strategy, based on systematically selected epigenetic and clinical parameters, to improve Barrett's esophagus surveillance efficiency. METHODS AND FINDINGS: We defined high-grade dysplasia as endpoint of progression, and Barrett's esophagus progressor patients as Barrett's esophagus patients with either no dysplasia or low-grade dysplasia who later developed high-grade dysplasia or esophageal adenocarcinoma. We analyzed 4 epigenetic and 3 clinical parameters in 118 Barrett's esophagus tissues obtained from 35 progressor and 27 non-progressor Barrett's esophagus patients from Baltimore Veterans Affairs Maryland Health Care Systems and Mayo Clinic. Based on 2-year and 4-year prediction models using linear discriminant analysis (area under the receiver-operator characteristic (ROC) curve: 0.8386 and 0.7910, respectively), Barrett's esophagus specimens were stratified into high-risk (HR), intermediate-risk (IR), or low-risk (LR) groups. This 3-tiered stratification method retained both the high specificity of the 2-year model and the high sensitivity of the 4-year model. Progression-free survivals differed significantly among the 3 risk groups, with p = 0.0022 (HR vs. IR) and p<0.0001 (HR or IR vs. LR). Incremental value analyses demonstrated that the number of methylated genes contributed most influentially to prediction accuracy. CONCLUSIONS: This 3-tiered risk stratification strategy has the potential to exert a profound impact on Barrett's esophagus surveillance accuracy and efficiency. Public Library of Science 2008-04-02 /pmc/articles/PMC2270339/ /pubmed/18382671 http://dx.doi.org/10.1371/journal.pone.0001890 Text en This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Sato, Fumiaki Jin, Zhe Schulmann, Karsten Wang, Jean Greenwald, Bruce D. Ito, Tetsuo Kan, Takatsugu Hamilton, James P. Yang, Jian Paun, Bogdan David, Stefan Olaru, Alexandru Cheng, Yulan Mori, Yuriko Abraham, John M. Yfantis, Harris G. Wu, Tsung-Teh Fredericksen, Mary B. Wang, Kenneth K. Canto, Marcia Romero, Yvonne Feng, Ziding Meltzer, Stephen J. Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features |
title | Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features |
title_full | Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features |
title_fullStr | Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features |
title_full_unstemmed | Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features |
title_short | Three-Tiered Risk Stratification Model to Predict Progression in Barrett's Esophagus Using Epigenetic and Clinical Features |
title_sort | three-tiered risk stratification model to predict progression in barrett's esophagus using epigenetic and clinical features |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270339/ https://www.ncbi.nlm.nih.gov/pubmed/18382671 http://dx.doi.org/10.1371/journal.pone.0001890 |
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