Ruhaak L Renee, Barkauskas Donald A, Torres Javier, Cooke Cara L, Wu Lauren D, Stroble Carol, Ozcan Sureyya, Williams Cynthia C, Camorlinga Margarita, Rocke David M, Lebrilla Carlito B, Solnick Jay V
Department of Chemistry, University of California, Davis, CA, 95616.
Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90089.
EuPA Open Proteom. 2015 Mar 1;6:1-9. doi: 10.1016/j.euprot.2014.11.002.
Biomarkers may facilitate detection of gastric cancer at an earlier stage and reduce mortality. Here we sought to determine if the glycosylation profile of serum immunoglobulin G (IgG) could distinguish patients with non-atrophic gastritis (NAG), duodenal ulcer (DU) and gastric cancer (GC). Serum IgG was released and analyzed using nano-LC-TOF mass spectrometry. Statistically significant false discovery rate (FDR)-adjusted p-values were observed for 18 glycans, eight that differed significantly between NAG and GC, three that distinguished NAG from DU, and eight that differed between DU and GC. The IgG glycosylation signature may be useful as a predictive marker for gastric cancer.
生物标志物可能有助于在更早阶段检测胃癌并降低死亡率。在此,我们试图确定血清免疫球蛋白G(IgG)的糖基化谱是否能够区分非萎缩性胃炎(NAG)、十二指肠溃疡(DU)和胃癌(GC)患者。使用纳升液相色谱-飞行时间质谱法对血清IgG进行释放和分析。对于18种聚糖观察到具有统计学意义的经错误发现率(FDR)调整的p值,其中8种在NAG和GC之间有显著差异,3种可区分NAG和DU,8种在DU和GC之间存在差异。IgG糖基化特征可能作为胃癌的一种预测标志物。