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Title: Multivariate data analysis for the detection of human alpha-acid glycoprotein aberrant glycosylation in pancreatic ductal adenocarcinoma
Author: Mancera Arteu, Montserrat
Giménez López, Estela
Balmaña, Meritxell
Barrabés, Silvia
Albiol-Quer, Maite
Fort, Esther
Peracaula, Rosa
Sanz Nebot, María Victoria
Keywords: Glicoproteïnes
Càncer de pàncrees
Marcadors tumorals
Pancreas cancer
Tumor markers
Issue Date: 2019
Publisher: Elsevier B.V.
Abstract: Relative quantification of human alpha-acid glycoprotein (hAGP) glycan isomers using [12C6]/[13C6]-aniline in combination with multivariate data analysis is proposed as an efficient method for the identification of pancreatic ductal adenocarcinoma (PDAC) glycan biomarkers in serum samples. Intact and desialylated glycans from hAGP, purified from serum samples of patients with PDAC and chronic pancreatitis (ChrP), were labeled with aniline and analyzed by μZIC-HILIC-MS. Afterwards, partial least squares discriminant analysis (PLS-DA) was applied to the relative areas obtained for all glycan isomers in the different samples: pathological (ChrP or PDAC) versus healthy samples. Seven intact glycan isomers with α2-6 linked sialic acids, five of them also fucosylated, were the most meaningful to distinguish between PDAC and ChrP patients. The desialylated glycan isomers also identified by PLS-DA as potential biomarker candidates confirmed that antenna but also core fucosylation could be involved in PDAC. The analysis of intact and desialylated glycan isomers in combination with the multivariate data analysis revealed that the triantennary glycan with two fucoses of hAGP could have in the future a relevant role in the differentiation of patients with PDAC from those with ChrP.
Note: Versió postprint del document publicat a:
It is part of: Journal of Proteomics, 2019, vol. 195, p. 76-87
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ISSN: 1874-3919
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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