Cargando…

High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation

BACKGROUND: Misdiagnosis of autoimmune pancreatitis (AIP) as pancreatic cancer (PDAC) or vice versa can cause dismal patents’ outcomes. Changes in IgG glycosylation are associated with cancers and autoimmune diseases. This study investigated the IgG glycosylation profiles as diagnostic and prognosti...

Descripción completa

Detalles Bibliográficos
Autores principales: Shih, Hsi-Chang, Chang, Ming-Chu, Chen, Chein-Hung, Tsai, I-Lin, Wang, San-Yuan, Kuo, Ya-Po, Chen, Chung-Hsuan, Chang, Yu-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317216/
https://www.ncbi.nlm.nih.gov/pubmed/30622446
http://dx.doi.org/10.1186/s12014-018-9221-1
_version_ 1783384708590075904
author Shih, Hsi-Chang
Chang, Ming-Chu
Chen, Chein-Hung
Tsai, I-Lin
Wang, San-Yuan
Kuo, Ya-Po
Chen, Chung-Hsuan
Chang, Yu-Ting
author_facet Shih, Hsi-Chang
Chang, Ming-Chu
Chen, Chein-Hung
Tsai, I-Lin
Wang, San-Yuan
Kuo, Ya-Po
Chen, Chung-Hsuan
Chang, Yu-Ting
author_sort Shih, Hsi-Chang
collection PubMed
description BACKGROUND: Misdiagnosis of autoimmune pancreatitis (AIP) as pancreatic cancer (PDAC) or vice versa can cause dismal patents’ outcomes. Changes in IgG glycosylation are associated with cancers and autoimmune diseases. This study investigated the IgG glycosylation profiles as diagnostic and prognostic biomarkers in PDAC and AIP. METHODS: Serum IgG-glycosylation profiles from 86 AIP patients, 115 PDAC patients, and 57 controls were analyzed using liquid chromatography–electrospray ionization mass spectrometry. Classification and regression tree (CART) analysis was applied to build a decision tree for discriminating PDAC from AIP. The result was validated in an independent cohort. RESULTS: Compared with AIP patients and controls, PDAC patients had significantly higher agalactosylation, lower fucosylation, and sialylation of IgG1, a higher agalactosylation ratio of IgG1 and a higher agalactosylation ratio of IgG2. AIP patients had significantly higher fucosylation of IgG1 and a higher sialylation ratio of IgG subclasses 1, 2 and 4. Using the CART analysis of agalactosylation and sialylation ratios in the IgG to discriminate AIP from PDAC, the diagnostic accuracy of the glycan markers was 93.8% with 94.6% sensitivity and 92.9% specificity. There were no statistically significant difference of IgG-glycosylation profiles between diffuse type and focal type AIP. CONCLUSIONS: AIP and PDAC patients have distinct IgG-glycosylation profilings. IgG-glycosylation could different PDAC from AIP with high accuracy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-018-9221-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6317216
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63172162019-01-08 High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation Shih, Hsi-Chang Chang, Ming-Chu Chen, Chein-Hung Tsai, I-Lin Wang, San-Yuan Kuo, Ya-Po Chen, Chung-Hsuan Chang, Yu-Ting Clin Proteomics Research BACKGROUND: Misdiagnosis of autoimmune pancreatitis (AIP) as pancreatic cancer (PDAC) or vice versa can cause dismal patents’ outcomes. Changes in IgG glycosylation are associated with cancers and autoimmune diseases. This study investigated the IgG glycosylation profiles as diagnostic and prognostic biomarkers in PDAC and AIP. METHODS: Serum IgG-glycosylation profiles from 86 AIP patients, 115 PDAC patients, and 57 controls were analyzed using liquid chromatography–electrospray ionization mass spectrometry. Classification and regression tree (CART) analysis was applied to build a decision tree for discriminating PDAC from AIP. The result was validated in an independent cohort. RESULTS: Compared with AIP patients and controls, PDAC patients had significantly higher agalactosylation, lower fucosylation, and sialylation of IgG1, a higher agalactosylation ratio of IgG1 and a higher agalactosylation ratio of IgG2. AIP patients had significantly higher fucosylation of IgG1 and a higher sialylation ratio of IgG subclasses 1, 2 and 4. Using the CART analysis of agalactosylation and sialylation ratios in the IgG to discriminate AIP from PDAC, the diagnostic accuracy of the glycan markers was 93.8% with 94.6% sensitivity and 92.9% specificity. There were no statistically significant difference of IgG-glycosylation profiles between diffuse type and focal type AIP. CONCLUSIONS: AIP and PDAC patients have distinct IgG-glycosylation profilings. IgG-glycosylation could different PDAC from AIP with high accuracy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-018-9221-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-03 /pmc/articles/PMC6317216/ /pubmed/30622446 http://dx.doi.org/10.1186/s12014-018-9221-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Shih, Hsi-Chang
Chang, Ming-Chu
Chen, Chein-Hung
Tsai, I-Lin
Wang, San-Yuan
Kuo, Ya-Po
Chen, Chung-Hsuan
Chang, Yu-Ting
High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
title High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
title_full High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
title_fullStr High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
title_full_unstemmed High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
title_short High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
title_sort high accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin g glycosylation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317216/
https://www.ncbi.nlm.nih.gov/pubmed/30622446
http://dx.doi.org/10.1186/s12014-018-9221-1
work_keys_str_mv AT shihhsichang highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT changmingchu highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT chencheinhung highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT tsaiilin highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT wangsanyuan highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT kuoyapo highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT chenchunghsuan highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation
AT changyuting highaccuracydifferentiatingautoimmunepancreatitisfrompancreaticductaladenocarcinomabyimmunoglobulingglycosylation