Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma

A high-resolution HILIC-MS/MS method was developed to analyze anthranilic acid derivatives of <i>N</i>-glycans released from human serum alpha-1-acid glycoprotein (AGP). The method was applied to samples obtained from 18 patients suffering from high-risk malignant melanoma as well as 19...

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Main Authors: Dávid Virág, Tibor Kremmer, Kende Lőrincz, Norbert Kiss, Antal Jobbágy, Szabolcs Bozsányi, Lili Gulyás, Norbert Wikonkál, Gitta Schlosser, Adina Borbély, Zsófia Huba, Borbála Dalmadi Kiss, István Antal, Krisztina Ludányi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Molecules
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Online Access:https://www.mdpi.com/1420-3049/26/19/6003
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author Dávid Virág
Tibor Kremmer
Kende Lőrincz
Norbert Kiss
Antal Jobbágy
Szabolcs Bozsányi
Lili Gulyás
Norbert Wikonkál
Gitta Schlosser
Adina Borbély
Zsófia Huba
Borbála Dalmadi Kiss
István Antal
Krisztina Ludányi
author_facet Dávid Virág
Tibor Kremmer
Kende Lőrincz
Norbert Kiss
Antal Jobbágy
Szabolcs Bozsányi
Lili Gulyás
Norbert Wikonkál
Gitta Schlosser
Adina Borbély
Zsófia Huba
Borbála Dalmadi Kiss
István Antal
Krisztina Ludányi
author_sort Dávid Virág
collection DOAJ
description A high-resolution HILIC-MS/MS method was developed to analyze anthranilic acid derivatives of <i>N</i>-glycans released from human serum alpha-1-acid glycoprotein (AGP). The method was applied to samples obtained from 18 patients suffering from high-risk malignant melanoma as well as 19 healthy individuals. It enabled the identification of 102 glycan isomers separating isomers that differ only in sialic acid linkage (α-2,3, α-2,6) or in fucose positions (core, antenna). Comparative assessment of the samples revealed that upregulation of certain fucosylated glycans and downregulation of their nonfucosylated counterparts occurred in cancer patients. An increased ratio of isomers with more α-2,6-linked sialic acids was also observed. Linear discriminant analysis (LDA) combining 10 variables with the highest discriminatory power was employed to categorize the samples based on their glycosylation pattern. The performance of the method was tested by cross-validation, resulting in an overall classification success rate of 96.7%. The approach presented here is significantly superior to serological marker S100B protein in terms of sensitivity and negative predictive power in the population studied. Therefore, it may effectively support the diagnosis of malignant melanoma as a biomarker.
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spelling doaj.art-17a20330ee6c4b21bfbab4d3a0fe5f3c2023-11-22T16:35:53ZengMDPI AGMolecules1420-30492021-10-012619600310.3390/molecules26196003Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant MelanomaDávid Virág0Tibor Kremmer1Kende Lőrincz2Norbert Kiss3Antal Jobbágy4Szabolcs Bozsányi5Lili Gulyás6Norbert Wikonkál7Gitta Schlosser8Adina Borbély9Zsófia Huba10Borbála Dalmadi Kiss11István Antal12Krisztina Ludányi13Department of Pharmaceutics, Semmelweis University, Hőgyes Endre utca 7., H-1092 Budapest, HungaryDepartment of Pharmaceutics, Semmelweis University, Hőgyes Endre utca 7., H-1092 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca. 41., H-1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca. 41., H-1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca. 41., H-1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca. 41., H-1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca. 41., H-1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca. 41., H-1085 Budapest, HungaryMTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Institute of Chemistry, Faculty of Science, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117 Budapest, HungaryMTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Institute of Chemistry, Faculty of Science, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117 Budapest, HungaryDepartment of Pharmaceutics, Semmelweis University, Hőgyes Endre utca 7., H-1092 Budapest, HungaryDepartment of Pharmaceutics, Semmelweis University, Hőgyes Endre utca 7., H-1092 Budapest, HungaryDepartment of Pharmaceutics, Semmelweis University, Hőgyes Endre utca 7., H-1092 Budapest, HungaryDepartment of Pharmaceutics, Semmelweis University, Hőgyes Endre utca 7., H-1092 Budapest, HungaryA high-resolution HILIC-MS/MS method was developed to analyze anthranilic acid derivatives of <i>N</i>-glycans released from human serum alpha-1-acid glycoprotein (AGP). The method was applied to samples obtained from 18 patients suffering from high-risk malignant melanoma as well as 19 healthy individuals. It enabled the identification of 102 glycan isomers separating isomers that differ only in sialic acid linkage (α-2,3, α-2,6) or in fucose positions (core, antenna). Comparative assessment of the samples revealed that upregulation of certain fucosylated glycans and downregulation of their nonfucosylated counterparts occurred in cancer patients. An increased ratio of isomers with more α-2,6-linked sialic acids was also observed. Linear discriminant analysis (LDA) combining 10 variables with the highest discriminatory power was employed to categorize the samples based on their glycosylation pattern. The performance of the method was tested by cross-validation, resulting in an overall classification success rate of 96.7%. The approach presented here is significantly superior to serological marker S100B protein in terms of sensitivity and negative predictive power in the population studied. Therefore, it may effectively support the diagnosis of malignant melanoma as a biomarker.https://www.mdpi.com/1420-3049/26/19/6003alpha-1-acid glycoproteinbiomarkerglycosylationhydrophilic interaction chromatographylinear discriminant analysismass spectrometry
spellingShingle Dávid Virág
Tibor Kremmer
Kende Lőrincz
Norbert Kiss
Antal Jobbágy
Szabolcs Bozsányi
Lili Gulyás
Norbert Wikonkál
Gitta Schlosser
Adina Borbély
Zsófia Huba
Borbála Dalmadi Kiss
István Antal
Krisztina Ludányi
Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma
Molecules
alpha-1-acid glycoprotein
biomarker
glycosylation
hydrophilic interaction chromatography
linear discriminant analysis
mass spectrometry
title Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma
title_full Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma
title_fullStr Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma
title_full_unstemmed Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma
title_short Altered Glycosylation of Human Alpha-1-Acid Glycoprotein as a Biomarker for Malignant Melanoma
title_sort altered glycosylation of human alpha 1 acid glycoprotein as a biomarker for malignant melanoma
topic alpha-1-acid glycoprotein
biomarker
glycosylation
hydrophilic interaction chromatography
linear discriminant analysis
mass spectrometry
url https://www.mdpi.com/1420-3049/26/19/6003
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