Glycomic profiling of carcinoembryonic antigen isolated from human tumor tissue.
Glycomic profiling of carcinoembryonic antigen isolated from human tumor tissue.
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从人类肿瘤组织中分离的癌胚抗原的糖组分析
DOI：
10.1186/s12014-015-9088-3
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发表时间：
2015
影响因子：
3.8
通讯作者：
Li Y
中科院分区：
文献类型：
--
作者：
Huang C;Zhan T;Liu Y;Li Q;Wu H;Ji D;Li Y
癌胚抗原(CEA)是一种普遍存在于人类血清中的蛋白质，CEA水平升高与多种肿瘤的进展有关。目前它被用作肺癌和结直肠癌等恶性肿瘤的生物标记物[Urol Onol：Semin Orig Invest 352：644-648,2013和肺癌80：45-49,2013]。然而，由于CEA在临床应用中的特异性较低，只能用于监测，而不能用于肿瘤诊断。许多糖蛋白的功能严重依赖于它们的糖基化模式，而糖基化模式又有可能用于肿瘤检测。然而，对CEA的详细糖链模式知之甚少。为了确定这些模式，我们使用免疫亲和层析从人类肿瘤组织中分离和纯化了CEA蛋白。然后用基质辅助激光解吸/电离飞行时间-质谱仪(MALDI-TOF-MS3)方法分析CEA的糖链模式。我们在肿瘤组织中鉴定出61种糖形式，其中CEA上调。这些糖基化实体被鉴定为携带唾液酸和岩藻糖残基的双触角、三触角和四触角结构，其中包括许多以前没有报道的CEA糖链。我们的发现应该有助于比目前可能的更精确的肿瘤预测，最终导致改进肿瘤诊断和治疗。本文的在线版本(doi：10.1186/s12014-0159088-3)包含补充材料，可供授权用户使用。
Carcinoembryonic antigen (CEA) is a protein commonly found in human serum, with elevated CEA levels being linked to the progression of a wide range of tumors. It is currently used as a biomarker for malign tumors such as lung cancer and colorectal cancer [Urol Oncol: Semin Orig Invest 352: 644–648, 2013 and Lung Cancer 80: 45-49, 2013]. However, due to its low specificity in clinical applications, CEA can be used for monitoring only, rather than tumor diagnosis. The function of many glycoproteins is critically dependent on their glycosylation pattern, which in turn has the potential to serve in tumor detection. However, little is known about the detailed glycan patterns of CEA. To determine these patterns, we isolated and purified CEA proteins from human tumor tissues using immunoaffinity chromatography. The glycan patterns of CEA were then analyzed using a Matrix-Assisted Laser Desorption/Ionization-Time of Flight-Mass Spectrometry3 (MALDI-TOF-MS3) approach. We identified 61 glycoforms in tumor tissue, where CEA is upregulated. These glycosylation entities were identified as bi-antennary, tri-antennary and tetra-antennary structures carrying sialic acid and fucose residues, and include a multitude of glycans previously not reported for CEA. Our findings should facilitate a more precise tumor prediction than currently possible, ultimately resulting in improved tumor diagnosis and treatment. The online version of this article (doi:10.1186/s12014-015-9088-3) contains supplementary material, which is available to authorized users.
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影响因子：
2
作者：
Croce, MV;Sálice, VC;Segal-Eiras, A
通讯作者：
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影响因子：
3
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
4.3
作者：
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