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胃癌生物标志物的发现:一种蛋白质组学方法。

Discovery of biomarkers for gastric cancer: a proteomics approach.

机构信息

Institute of Molecular and Cellular Biology and Department of Life Science, National Taiwan University, Taipei, Taiwan.

出版信息

J Proteomics. 2012 Jun 18;75(11):3081-97. doi: 10.1016/j.jprot.2012.03.046. Epub 2012 Apr 3.

Abstract

Gastric cancer is the second leading cause of cancer-related deaths worldwide. Although many treatment options exist for patients with gastric tumors, the incidence and mortality rate of gastric cancer are on the rise. The early stages of gastric cancer are non-symptomatic, and the treatment response is unpredictable. This situation is further aggravated by a lack of diagnostic biomarkers that can aid in the early detection and prognosis of gastric cancer and in the prediction of chemoresistance. Moreover, clinical surgical specimens are rarely obtained, and traditional biomarkers of gastric cancer are not very effective. Many studies in the field of proteomics have contributed to the discovery and establishment of powerful diagnostic tools (e.g., ProteinChip array) in the management of cancer. The evolution in proteomic technologies has not only enabled the screening of a large number of samples but also enabled the identification of pathologically significant proteins, such as phosphoproteins, and the quantitation of difference in protein expression under different conditions. Multiplexed assays are used widely to accurately fractionate various complex samples such as blood, tissue, cells, and Helicobacter pylori-infected specimens to identify differentially expressed proteins. Biomarker detection studies have substantially contributed to the areas of secretome, metabolome, and phosphoproteome. Here, we review the development of potential biomarkers in the natural history of gastric cancer, with specific emphasis on the characteristics of target protein convergence.

摘要

胃癌是全球癌症相关死亡的第二大主要原因。尽管有许多治疗选择可用于胃肿瘤患者,但胃癌的发病率和死亡率仍在上升。胃癌的早期阶段无症状,治疗反应不可预测。这种情况因缺乏有助于早期检测和预测胃癌预后以及预测化疗耐药性的诊断生物标志物而进一步加剧。此外,很少获得临床手术标本,并且胃癌的传统生物标志物不是很有效。蛋白质组学领域的许多研究促进了在癌症管理中发现和建立强大的诊断工具(例如,ProteinChip 阵列)。蛋白质组学技术的发展不仅使大量样本的筛选成为可能,而且还使鉴定具有病理意义的蛋白质(如磷酸化蛋白质)以及在不同条件下定量蛋白质表达差异成为可能。多重分析广泛用于准确地分离各种复杂样本,如血液、组织、细胞和幽门螺杆菌感染的标本,以鉴定差异表达的蛋白质。生物标志物检测研究在分泌组、代谢组和磷酸化蛋白质组领域做出了重要贡献。在这里,我们综述了胃癌自然史中潜在生物标志物的发展,特别强调了靶蛋白收敛的特征。

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