Center for Comparative Medicine, University of California, Davis, Davis, CA 95616.
Cancer Prev Res (Phila). 2014 Feb;7(2):226-35. doi: 10.1158/1940-6207.CAPR-13-0235. Epub 2013 Dec 10.
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.
糖组学是对生物系统中表达的聚糖进行全面研究的学科,它正成为一种简单而高度敏感的疾病起始和进展诊断工具。本研究旨在利用糖组学来研究糖标记物,以区分胃癌患者和非萎缩性胃炎患者。十二指肠溃疡患者也包括在内,因为他们被认为对幽门螺杆菌感染有不同的生物学反应,幽门螺杆菌感染既可以导致胃癌,也可以导致十二指肠溃疡。我们收集了来自墨西哥城的 72 份血清样本,这些样本来自非萎缩性胃炎、十二指肠溃疡或胃癌患者。使用 PNGase F 的通用方法从血清样本中释放 N-聚糖,并通过基质辅助激光解吸/电离傅里叶变换离子回旋共振质谱进行分析。根据精确质量计算相应的聚糖组成。进行基于 ANOVA 的统计分析,以确定每个亚组的潜在标志物。在诊断组之间有 19 种聚糖存在显著差异。一般来说,在胃癌病例中观察到高甘露糖型聚糖、具有一个复杂型天线的聚糖、双触角的大半乳糖化聚糖以及非半乳糖化双触角聚糖的水平降低。在十二指肠溃疡中也观察到血清聚糖水平的改变,但差异通常与胃癌的方向相同。血清糖谱可能提供生物标志物来区分胃癌病例和非萎缩性胃炎对照者。需要进一步的研究来验证这些发现作为生物标志物,并确定蛋白质糖基化在胃癌病理中的作用。