High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation
| Autor: | San Yuan Wang, Yu-Ting Chang, Chung-Hsuan Chen, Hsi-Chang Shih, Ming-Chu Chang, Ya-Po Kuo, I-Lin Tsai, Chein-Hung Chen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Cart medicine.medical_specialty Glycan Glycosylation Pancreatic ductal adenocarcinoma endocrine system diseases Clinical Biochemistry lcsh:Medicine Gastroenterology Immunoglobulin G 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Pancreatic cancer Internal medicine medicine Molecular Biology Fucosylation Autoimmune pancreatitis biology business.industry Research lcsh:R General Medicine medicine.disease digestive system diseases carbohydrates (lipids) 030104 developmental biology chemistry 030220 oncology & carcinogenesis Immunoglobulin G (IgG) biology.protein Molecular Medicine Autoimmune pancreatitis (AIP) business |
| Zdroj: | Clinical Proteomics, Vol 16, Iss 1, Pp 1-10 (2019) Clinical Proteomics |
| ISSN: | 1559-0275 1542-6416 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink