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PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases

OBJECTIVE: The aim of this study was to investigate the value of the combined expression of the gastric mucosal differentiation protein pepsinogen C (PGC) and gastric cancer (GC)-associated antigen MG7 for the diagnosis of GC and prediction of the development from precancerous conditions to GC. METH...

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Autores principales: Ning, Peifang, Sun, Liping, Dong, Nannan, Yuan, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072012/
https://www.ncbi.nlm.nih.gov/pubmed/32194308
http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.10
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author Ning, Peifang
Sun, Liping
Dong, Nannan
Yuan, Yuan
author_facet Ning, Peifang
Sun, Liping
Dong, Nannan
Yuan, Yuan
author_sort Ning, Peifang
collection PubMed
description OBJECTIVE: The aim of this study was to investigate the value of the combined expression of the gastric mucosal differentiation protein pepsinogen C (PGC) and gastric cancer (GC)-associated antigen MG7 for the diagnosis of GC and prediction of the development from precancerous conditions to GC. METHODS: The gastric mucosal biopsies of 285 subjects enrolled from a region with a high incidence of GC were obtained and histopathologically examined. Subjects testing negative for GC (n=208) were followed up from 1998 to 2015. The levels of PGC and MG7 in the biopsies were determined by immunohistochemistry. RESULTS: PGC was positive in 91.4% of the non-atrophic gastritis, 26.5% of the atrophic gastritis, and 0% of the GC. MG7 was positive in 15.0% of the non-atrophic gastritis, 82.4% of the atrophic gastritis, and 94.8% of the GC. The non-atrophic gastritis group was predominantly “PGC+MG7−”. The atrophic gastritis and GC groups were predominantly “PGC−MG7+”. The rate of GC in subjects with “PGC−MG7+” staining was 113.4-fold higher [95% confidence interval (95% CI): 15.3−869.4, P<0.001] than that in subjects with other staining patterns. The sensitivity and specificity of the “PGC−MG7+” pattern were 92.2% and 78.8% for the detection of GC and 77.2% and 97.9% for GC and precancerous disease, respectively. In the follow-up cohort of non-GC subjects, the risk of developing GC was higher in those with the “PGC−MG7+” staining pattern. CONCLUSIONS: Our data suggest that the “PGC−MG7+” pattern can be employed as a useful follow-up panel for detecting individuals with a high risk of GC, and the dynamic assessment of the follow-up panel needs multi-centre large-scale validation in the future.
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spelling pubmed-70720122020-03-19 PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases Ning, Peifang Sun, Liping Dong, Nannan Yuan, Yuan Chin J Cancer Res Original Article OBJECTIVE: The aim of this study was to investigate the value of the combined expression of the gastric mucosal differentiation protein pepsinogen C (PGC) and gastric cancer (GC)-associated antigen MG7 for the diagnosis of GC and prediction of the development from precancerous conditions to GC. METHODS: The gastric mucosal biopsies of 285 subjects enrolled from a region with a high incidence of GC were obtained and histopathologically examined. Subjects testing negative for GC (n=208) were followed up from 1998 to 2015. The levels of PGC and MG7 in the biopsies were determined by immunohistochemistry. RESULTS: PGC was positive in 91.4% of the non-atrophic gastritis, 26.5% of the atrophic gastritis, and 0% of the GC. MG7 was positive in 15.0% of the non-atrophic gastritis, 82.4% of the atrophic gastritis, and 94.8% of the GC. The non-atrophic gastritis group was predominantly “PGC+MG7−”. The atrophic gastritis and GC groups were predominantly “PGC−MG7+”. The rate of GC in subjects with “PGC−MG7+” staining was 113.4-fold higher [95% confidence interval (95% CI): 15.3−869.4, P<0.001] than that in subjects with other staining patterns. The sensitivity and specificity of the “PGC−MG7+” pattern were 92.2% and 78.8% for the detection of GC and 77.2% and 97.9% for GC and precancerous disease, respectively. In the follow-up cohort of non-GC subjects, the risk of developing GC was higher in those with the “PGC−MG7+” staining pattern. CONCLUSIONS: Our data suggest that the “PGC−MG7+” pattern can be employed as a useful follow-up panel for detecting individuals with a high risk of GC, and the dynamic assessment of the follow-up panel needs multi-centre large-scale validation in the future. AME Publishing Company 2020-02 /pmc/articles/PMC7072012/ /pubmed/32194308 http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.10 Text en Copyright © 2020 Chinese Journal of Cancer Research. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
Ning, Peifang
Sun, Liping
Dong, Nannan
Yuan, Yuan
PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
title PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
title_full PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
title_fullStr PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
title_full_unstemmed PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
title_short PGC-MG7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
title_sort pgc-mg7 combination could be used as a follow-up panel for monitoring dynamical progression of gastric precancerous diseases
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072012/
https://www.ncbi.nlm.nih.gov/pubmed/32194308
http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.10
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