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Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer

Helicobacter pylori (H. pylori ) infection is a major cause of chronic gastritis and is highly related to duodenal ulcer (DU) and gastric cancer (GC). To identify H. pylori-related GC biomarkers with high seropositivity in GC patients, differences in levels of protein expression between H. pylori fr...

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Autores principales: Su, Yu-Lin, Huang, Hsiang-Ling, Huang, Bo-Shih, Chen, Po-Chung, Chen, Chien-Sheng, Wang, Hong-Long, Lin, Pin-Hsin, Chieh, Meng-Shu, Wu, Jiunn-Jong, Yang, Jyh-Chin, Chow, Lu-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5098209/
https://www.ncbi.nlm.nih.gov/pubmed/27819260
http://dx.doi.org/10.1038/srep36442
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author Su, Yu-Lin
Huang, Hsiang-Ling
Huang, Bo-Shih
Chen, Po-Chung
Chen, Chien-Sheng
Wang, Hong-Long
Lin, Pin-Hsin
Chieh, Meng-Shu
Wu, Jiunn-Jong
Yang, Jyh-Chin
Chow, Lu-Ping
author_facet Su, Yu-Lin
Huang, Hsiang-Ling
Huang, Bo-Shih
Chen, Po-Chung
Chen, Chien-Sheng
Wang, Hong-Long
Lin, Pin-Hsin
Chieh, Meng-Shu
Wu, Jiunn-Jong
Yang, Jyh-Chin
Chow, Lu-Ping
author_sort Su, Yu-Lin
collection PubMed
description Helicobacter pylori (H. pylori ) infection is a major cause of chronic gastritis and is highly related to duodenal ulcer (DU) and gastric cancer (GC). To identify H. pylori-related GC biomarkers with high seropositivity in GC patients, differences in levels of protein expression between H. pylori from GC and DU patients were analyzed by isobaric tag for relative and absolute quantitation (iTRAQ). In total, 99 proteins showed increased expression (>1.5-fold) in GC patients compared to DU patients, and 40 of these proteins were categorized by KEGG pathway. The four human disease-related adhesin identified, AlpA, OipA, BabA, and SabA, were potential GC-related antigens, with a higher seropositivity in GC patients (n = 76) than in non-GC patients (n = 100). Discrimination between GC and non-GC patients was improved using multiple antigens, with an odds ratio of 9.16 (95% CI, 2.99–28.07; p < 0.0001) for three antigens recognized. The optimized combination of OipA, BabA, and SabA gave a 77.3% correct prediction rate. A GC-related protein microarray was further developed using these antigens. The combination of OipA, BabA, and SabA showed significant improvement in the diagnostic accuracy and the protein microarray containing above antigens should provide a rapid and convenient diagnosis of H. pylori-associated GC.
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spelling pubmed-50982092016-11-10 Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer Su, Yu-Lin Huang, Hsiang-Ling Huang, Bo-Shih Chen, Po-Chung Chen, Chien-Sheng Wang, Hong-Long Lin, Pin-Hsin Chieh, Meng-Shu Wu, Jiunn-Jong Yang, Jyh-Chin Chow, Lu-Ping Sci Rep Article Helicobacter pylori (H. pylori ) infection is a major cause of chronic gastritis and is highly related to duodenal ulcer (DU) and gastric cancer (GC). To identify H. pylori-related GC biomarkers with high seropositivity in GC patients, differences in levels of protein expression between H. pylori from GC and DU patients were analyzed by isobaric tag for relative and absolute quantitation (iTRAQ). In total, 99 proteins showed increased expression (>1.5-fold) in GC patients compared to DU patients, and 40 of these proteins were categorized by KEGG pathway. The four human disease-related adhesin identified, AlpA, OipA, BabA, and SabA, were potential GC-related antigens, with a higher seropositivity in GC patients (n = 76) than in non-GC patients (n = 100). Discrimination between GC and non-GC patients was improved using multiple antigens, with an odds ratio of 9.16 (95% CI, 2.99–28.07; p < 0.0001) for three antigens recognized. The optimized combination of OipA, BabA, and SabA gave a 77.3% correct prediction rate. A GC-related protein microarray was further developed using these antigens. The combination of OipA, BabA, and SabA showed significant improvement in the diagnostic accuracy and the protein microarray containing above antigens should provide a rapid and convenient diagnosis of H. pylori-associated GC. Nature Publishing Group 2016-11-07 /pmc/articles/PMC5098209/ /pubmed/27819260 http://dx.doi.org/10.1038/srep36442 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Su, Yu-Lin
Huang, Hsiang-Ling
Huang, Bo-Shih
Chen, Po-Chung
Chen, Chien-Sheng
Wang, Hong-Long
Lin, Pin-Hsin
Chieh, Meng-Shu
Wu, Jiunn-Jong
Yang, Jyh-Chin
Chow, Lu-Ping
Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer
title Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer
title_full Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer
title_fullStr Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer
title_full_unstemmed Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer
title_short Combination of OipA, BabA, and SabA as candidate biomarkers for predicting Helicobacter pylori-related gastric cancer
title_sort combination of oipa, baba, and saba as candidate biomarkers for predicting helicobacter pylori-related gastric cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5098209/
https://www.ncbi.nlm.nih.gov/pubmed/27819260
http://dx.doi.org/10.1038/srep36442
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