Ion mobility-mass spectrometry analysis of serum N-linked glycans from esophageal adenocarcinoma phenotypes

M. M. Gaye, S. J. Valentine, Y. Hu, N. Mirjankar, Z. T. Hammoud, Y. Mechref, B. K. Lavine, D. E. Clemmer

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

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.

Original languageEnglish
Pages (from-to)6102-6110
Number of pages9
JournalJournal of Proteome Research
Volume11
Issue number12
DOIs
StatePublished - Dec 7 2012

Keywords

  • cancer
  • electrospray ionization mass spectrometry
  • genetic algorithm
  • glycans
  • ion mobility
  • principal component analysis

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