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Glycan Node Analysis: A Bottom-up Approach to Glycomics
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血清蛋白N-糖模式显示与子宫内膜癌相关的变化及其差异化表型
Zejian Zhang1, Zhen Cao2, Jinhui Wang3
1Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Frontiers in endocrinology
|July 12, 2023
概括
血清N-甘氨酸在子宫内膜癌 (EC) 中表现出明显的模式. 一个甘氨酸面板准确地识别EC,可以分层瘤分化,建议潜在的诊断生物标志物.
科学领域:
- 生物化学 生物化学
- 在瘤学瘤学.
- 格莱科米克斯 (Glycomics) 是一个有趣的药物.
背景情况:
- 异常的N-葡萄糖化与子宫内膜癌 (EC) 病原发生有关.
- 血清N-葡萄糖特征的EC以前没有被表征.
- 这项研究旨在确定EC中的血清N-葡萄糖,以发现生物标志物.
研究的目的:
- 为了研究子宫内膜癌患者的血清N-葡萄糖模式.
- 为了确定潜在的血清N-糖甘生物标志物用于EC诊断.
- 探索N-甘氨酸与EC差异化的关联.
主要方法:
- 使用基于质谱的方法进行了血清N-glycans的分析.
- 多变量和单变量统计分析确定了歧视性的N-甘氨酸.
- 接收器操作特征 (ROC) 分析评估了分类准确性.
主要成果:
- 与健康对照组相比,子宫内膜癌患者表现出明显的血清N-葡萄糖样本.
- 在EC中观察到高曼诺斯,混合型N-甘氨酸,fucosylation,galactosylation和sialylation的异常.
- 一个由四个N-甘氨酸特征组成的小组准确地确定了EC (AUC=0.993) 和分层瘤差异化 (AUC>0.8).
结论:
- 这项研究提供了在子宫内膜癌中血清N-葡萄糖特征的第一个证据.
- 鉴定到的N-甘氨酸模式显示了作为EC的诊断和表型生物标志物的潜力.
- 血清N-甘氨酸可能有助于基于差异化的EC亚型的分类.
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