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2
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The Abnormal Glycopatterns of Salivary Glycoproteins in Esophageal Squamous Cell Carcinoma Patients.食管癌患者唾液糖蛋白的异常糖型
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本文引用的文献

1
Identifying cancer biomarkers by mass spectrometry-based glycomics.基于质谱的糖组学鉴定癌症生物标志物。
Electrophoresis. 2012 Jul;33(12):1755-67. doi: 10.1002/elps.201100715.
2
Proteomic identification of glycosylphosphatidylinositol anchor-dependent membrane proteins elevated in breast carcinoma.糖基磷脂酰肌醇锚定依赖的膜蛋白在乳腺癌中升高的蛋白质组学鉴定。
J Biol Chem. 2012 Jul 20;287(30):25230-40. doi: 10.1074/jbc.M112.339465. Epub 2012 May 31.
3
N-linked glycan structures and their expressions change in the blood sera of ovarian cancer patients.卵巢癌患者血清中的 N-连接聚糖结构及其表达发生变化。
J Proteome Res. 2012 Apr 6;11(4):2282-300. doi: 10.1021/pr201070k. Epub 2012 Mar 7.
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Glycans as cancer biomarkers.聚糖作为癌症生物标志物。
Biochim Biophys Acta. 2012 Sep;1820(9):1347-53. doi: 10.1016/j.bbagen.2011.12.001. Epub 2011 Dec 9.
5
Glycoproteomics-based identification of cancer biomarkers.基于糖蛋白质组学的癌症生物标志物鉴定
Int J Proteomics. 2011;2011:601937. doi: 10.1155/2011/601937. Epub 2011 Sep 28.
6
Glycomics hits the big time.糖组学崭露头角。
Cell. 2010 Nov 24;143(5):672-6. doi: 10.1016/j.cell.2010.11.008.
7
A systematic approach to protein glycosylation analysis: a path through the maze.系统的蛋白质糖基化分析方法:走出迷宫的路径。
Nat Chem Biol. 2010 Oct;6(10):713-23. doi: 10.1038/nchembio.437. Epub 2010 Sep 17.
8
Cancer biomarkers: can we turn recent failures into success?癌症生物标志物:我们能否将最近的失败转化为成功?
J Natl Cancer Inst. 2010 Oct 6;102(19):1462-7. doi: 10.1093/jnci/djq306. Epub 2010 Aug 12.
9
A quantitative investigation of fucosylated serum glycoproteins with application to esophageal adenocarcinoma.糖基化血清糖蛋白的定量研究及其在食管腺癌中的应用。
Electrophoresis. 2010 Jun;31(11):1833-41. doi: 10.1002/elps.201000046.
10
Comparative glycomic profiling in esophageal adenocarcinoma.食管腺癌的糖组学比较分析。
J Thorac Cardiovasc Surg. 2010 May;139(5):1216-23. doi: 10.1016/j.jtcvs.2009.12.045.

食管疾病中的糖组学表达

Glycomic expression in esophageal disease.

作者信息

Mohanty Sanjay, Tsiouris Athanasios, Hammoud Zane

机构信息

Henry Ford Hospital, 2799 W. Grand Blvd., Detroit, MI 48202, USA.

出版信息

Metabolites. 2012 Nov 21;2(4):1004-11. doi: 10.3390/metabo2041004.

DOI:10.3390/metabo2041004
PMID:24957772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3901243/
Abstract

Glycosylation is among the most common post translation modifications of proteins in humans. Decades of research have demonstrated that aberrant glycosylation can lead to malignant degeneration. Glycoproteomic studies in the past several years have identified techniques that can successfully characterize a glycan or glycan profile associated with a high-grade dysplastic or malignant state. This review summarizes the current glycomic and glycoproteomic literature with specific reference to esophageal cancer. Esophageal adenocarcinoma represents a highly morbid and mortal cancer with a defined progression from metaplasia (Barrett's esophagus) to dysplasia to neoplasia. This disease is highlighted because (1) differences in glycan profiles between the stages of disease progression have been described in the glycoproteomic literature; (2) a glycan biomarker that identifies a given stage may be used as a predictor of disease progression and thus may have significant influence over clinical management; and (3) the differences in glycan profiles between disease and disease-free states in esophageal cancer are more dramatic than in other cancers.

摘要

糖基化是人类蛋白质最常见的翻译后修饰之一。数十年的研究表明,异常糖基化可导致恶性退变。过去几年的糖蛋白质组学研究已经确定了一些技术,这些技术能够成功地表征与高级别发育异常或恶性状态相关的聚糖或聚糖谱。本综述总结了当前糖组学和糖蛋白质组学文献,特别提及了食管癌。食管腺癌是一种高发病率和高死亡率的癌症,具有从化生(巴雷特食管)到发育异常再到肿瘤形成的明确进展过程。之所以强调这种疾病,是因为:(1)糖蛋白质组学文献中描述了疾病进展各阶段之间聚糖谱的差异;(2)识别特定阶段的聚糖生物标志物可作为疾病进展的预测指标,因此可能对临床管理产生重大影响;(3)食管癌疾病状态与无病状态之间的聚糖谱差异比其他癌症更为显著。