title: Serum glycan signatures of gastric cancer.
abstract: Glycomics, a comprehensive study of glycans expressed in biologic systems, is emerging as a simple yet highly sensitive diagnostic tool for disease onset and progression. This study aimed to use glycomics to investigate glycan markers that would differentiate patients with gastric cancer from those with nonatrophic gastritis. Patients with duodenal ulcer were also included because they are thought to represent a biologically different response to infection with Helicobacter pylori, a bacterial infection that can cause either gastric cancer or duodenal ulcer. We collected 72 serum samples from patients in Mexico City that presented with nonatrophic gastritis, duodenal ulcer, or gastric cancer. N-glycans were released from serum samples using the generic method with PNGase F and were analyzed by matrix-assisted laser desorption/ionization Fourier transform-ion cyclotron resonance mass spectrometry. The corresponding glycan compositions were calculated based on accurate mass. ANOVA-based statistical analysis was performed to identify potential markers for each subgroup. Nineteen glycans were significantly different among the diagnostic groups. Generally, decreased levels of high-mannose-type glycans, glycans with one complex type antenna, bigalactosylated biantennary glycans, and increased levels of nongalactosylated biantennary glycans were observed in gastric cancer cases. Altered levels of serum glycans were also observed in duodenal ulcer, but differences were generally in the same direction as gastric cancer. Serum glycan profiles may provide biomarkers to differentiate gastric cancer cases from controls with nonatrophic gastritis. Further studies will be needed to validate these findings as biomarkers and identify the role of protein glycosylation in gastric cancer pathology.
authors: Center for Comparative Medicine, University of California, Davis, Davis, CA 95616. jvsolnick@ucdavis.edu; or Carlito B. Lebrilla, cblebrilla@ucdavis.edu.
authors: Sureyya
authors: S
authors: Ozcan
authors: Donald A
authors: DA
authors: Barkauskas
authors: L
authors: L
authors: Renee Ruhaak
authors: Javier
authors: J
authors: Torres
authors: Cara L
authors: CL
authors: Cooke
authors: Hyun Joo
authors: HJ
authors: An
authors: Serenus
authors: S
authors: Hua
authors: Cynthia C
authors: CC
authors: Williams
authors: Lauren M
authors: LM
authors: Dimapasoc
authors: Jae
authors: J
authors: Han Kim
authors: Margarita
authors: M
authors: Camorlinga-Ponce
authors: David
authors: D
authors: Rocke
authors: Carlito B
authors: CB
authors: Lebrilla
authors: Jay V
authors: JV
authors: Solnick
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor / Q000097:blood; D002240:Carbohydrate Sequence; D016022:Case-Control Studies; D005260:Female; D006031:Glycosylation; D016481:Helicobacter Infections / Q000097:blood / Q000453:epidemiology; D016480:Helicobacter pylori / Q000276:immunology; D006801:Humans; D007074:Immunoglobulin G / Q000097:blood; D008297:Male; D055442:Metabolome; D008875:Middle Aged; D008969:Molecular Sequence Data; D011134:Polysaccharides / Q000032:analysis / Q000097:blood*; D016036:Seroepidemiologic Studies; D013274:Stomach Neoplasms / Q000097:blood* / Q000453:epidemiology
chemical_list: D014408:Biomarkers, Tumor; D007074:Immunoglobulin G; D011134:Polysaccharides