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用于癌症生物标志物分析的蛋白质组学技术:最新进展

Proteomic technology for biomarker profiling in cancer: an update.

作者信息

Alaoui-Jamali Moulay A, Xu Ying-jie

机构信息

Lady Davis Institute for Medical Research and Segal Comprehensive Cancer Center, Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal, Que. H3T 1E2, Canada.

出版信息

J Zhejiang Univ Sci B. 2006 Jun;7(6):411-20. doi: 10.1631/jzus.2006.B0411.

Abstract

The progress in the understanding of cancer progression and early detection has been slow and frustrating due to the complex multifactorial nature and heterogeneity of the cancer syndrome. To date, no effective treatment is available for advanced cancers, which remain a major cause of morbidity and mortality. Clearly, there is urgent need to unravel novel biomarkers for early detection. Most of the functional information of the cancer-associated genes resides in the proteome. The later is an exceptionally complex biological system involving several proteins that function through posttranslational modifications and dynamic intermolecular collisions with partners. These protein complexes can be regulated by signals emanating from cancer cells, their surrounding tissue microenvironment, and/or from the host. Some proteins are secreted and/or cleaved into the extracellular milieu and may represent valuable serum biomarkers for diagnosis purpose. It is estimated that the cancer proteome may include over 1.5 million proteins as a result of posttranslational processing and modifications. Such complexity clearly highlights the need for ultra-high resolution proteomic technology for robust quantitative protein measurements and data acquisition. This review is to update the current research efforts in high-resolution proteomic technology for discovery and monitoring cancer biomarkers.

摘要

由于癌症综合征具有复杂的多因素性质和异质性,在癌症进展理解和早期检测方面的进展一直缓慢且令人沮丧。迄今为止,对于晚期癌症尚无有效的治疗方法,晚期癌症仍然是发病和死亡的主要原因。显然,迫切需要找到用于早期检测的新型生物标志物。大多数癌症相关基因的功能信息存在于蛋白质组中。蛋白质组是一个极其复杂的生物系统,涉及多种通过翻译后修饰以及与伙伴分子进行动态分子间碰撞来发挥功能的蛋白质。这些蛋白质复合物可受癌细胞、其周围组织微环境和/或宿主发出的信号调控。一些蛋白质被分泌和/或切割进入细胞外环境,可能代表用于诊断目的的有价值的血清生物标志物。据估计,由于翻译后加工和修饰,癌症蛋白质组可能包含超过150万种蛋白质。这种复杂性清楚地凸显了需要超高分辨率蛋白质组技术来进行可靠的蛋白质定量测量和数据采集。本综述旨在更新当前在高分辨率蛋白质组技术用于发现和监测癌症生物标志物方面的研究工作。

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