title: Ion mobility-mass spectrometry analysis of serum N-linked glycans from esophageal adenocarcinoma phenotypes.
abstract: Three disease phenotypes, Barrett's esophagus (BE), high-grade dysplasia (HGD), esophageal adenocarcinoma (EAC), and a set of normal control (NC) serum samples are examined using a combination of ion mobility spectrometry (IMS), mass spectrometry (MS), and principal component analysis (PCA) techniques. Samples from a total of 136 individuals were examined, including 7 characterized as BE, 12 as HGD, 56 as EAC, and 61 as NC. In typical data sets, it was possible to assign ∼20 to 30 glycan ions based on MS measurements. Ion mobility distributions for these ions show multiple features. In some cases, such as the [S1H5N4+3Na]3+ and [S1F1H5N4+3Na]3+ glycan ions, the ratio of intensities of high-mobility features to low-mobility features vary significantly for different groups. The degree to which such variations in mobility profiles can be used to distinguish phenotypes is evaluated for 11 N-linked glycan ions. An outlier analysis on each sample class followed by an unsupervised PCA using a genetic algorithm for pattern recognition reveals that EAC samples are separated from NC samples based on 46 features originating from the 11-glycan composite IMS distribution.
authors.affiliation: Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
authors.forename: M M
authors.initials: MM
authors.lastname: Gaye
authors.forename: S J
authors.initials: SJ
authors.lastname: Valentine
authors.forename: Y
authors.initials: Y
authors.lastname: Hu
authors.forename: N
authors.initials: N
authors.lastname: Mirjankar
authors.forename: Z T
authors.initials: ZT
authors.lastname: Hammoud
authors.forename: Y
authors.initials: Y
authors.lastname: Mechref
authors.forename: B K
authors.initials: BK
authors.lastname: Lavine
authors.forename: D E
authors.initials: DE
authors.lastname: Clemmer
mesh_terms: D000230:Adenocarcinoma / Q000378:metabolism* / Q000473:pathology; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001471:Barrett Esophagus / Q000378:metabolism / Q000473:pathology; D016022:Case-Control Studies; D019295:Computational Biology / Q000379:methods; D055088:Early Detection of Cancer / Q000379:methods; D004938:Esophageal Neoplasms / Q000378:metabolism* / Q000473:pathology; D004947:Esophagus / Q000473:pathology*; D005260:Female; D006801:Humans; D007477:Ions / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated; D010641:Phenotype; D011134:Polysaccharides / Q000097:blood*; D025341:Principal Component Analysis; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods*
chemical_list: D007477:Ions; D011134:Polysaccharides