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《工程(英文)》 >> 2023年 第26卷 第7期 doi: 10.1016/j.eng.2023.02.008

血清免疫球蛋白G N-糖基的高通量分析——一种消化道癌症的非侵入性生物标志物

a School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
b State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
c School of Stomatology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
d Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
e Beijing Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China
f Department of Gastroenterology, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
g Department of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China

# These authors contributed equally to this work.

收稿日期: 2022-09-28 修回日期: 2023-02-20 录用日期: 2023-02-21 发布日期: 2023-04-07

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摘要

免疫球蛋白G(immunoglobulin G, IgG)的N-糖基化在炎症性疾病的发展中起着重要作用。本研究旨在评价IgG N-糖基在消化道(GI)癌症亚型中的诊断效能。从中国医学科学院肿瘤医院招募749 名消化道癌症患者,包括食管癌(esophageal cancer, EC)、胃癌(gastric cancer, GC)、结直肠癌(colorectal cancer, CRC)和胰腺癌(pancreatic cancer, PC)患者。采用亲水交互高效液相色谱-超高效液相色谱(Hydrophilic interaction liquid chromatography using ultra-performance liquid chromatography, HILIC-UPLC)分析血浆中IgG 的N-糖基构成。采用Bio-Plex 悬液芯片系统检测方法(Bio-Rad)进行炎症因子检测。采用典型相关分析(canonical correlation analysis, CCA)探索糖基和炎症因子之间的相关性。采用Lasso 回归和logistic回归模型,基于检测到的糖基谱建立可用于区分消化道癌症患者和健康人群的诊断模型。与健康对照组相比,EC、GC、CRC和PC 患者的唾液酸化和半乳糖基化水平降低,而二等分N-乙酰葡萄糖胺糖基化水平在消化道癌症患者中升高。此外,只有PC患者具有低水平的岩藻糖基化。消化道癌症组的白介素(IL)-1β、IL-31 和可溶性CD40 配体(sCD40L)水平均高于对照组。IgG N-糖基的组成与炎症因子相关(r = 0.556)。基于糖基的模型表现出良好的诊断效能,EC、GC、CRC和PC 的受试者工作特征曲线下面积(AUC)分别为0.972、0.871、0.867 和0.907。这些研究结果表明,IgG N-糖基化在调节消化道肿瘤的发病机制中发挥了重要作用。血清IgG N-糖基可以作为潜在的非侵入性辅助消化道癌症临床诊断的方法。

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