Contributions of advanced proteomics technologies to cancer diagnosis.
Contributions of advanced proteomics technologies to cancer diagnosis.
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DOI：
10.1007/s12094-006-0062-4
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发表时间：
2006-08-01
期刊：
影响因子：
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通讯作者：
Albar, Juan-Pablo
中科院分区：
文献类型：
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作者：
Ciordia, Sergio;de Los Rios, Vivian;Albar, Juan-Pablo
医学有效治疗和治愈癌症的能力直接取决于其在早期阶段检测癌症的能力。蛋白质组学的出现带来了在肿瘤发生早期发现新生物标志物的希望，这些标志物可用于诊断疾病、预测易感性和监测进展。该学科融合了可应用于血清和组织等复杂生物系统的技术，以表征由良性或病理性生理变化引起的蛋白质组的内容和变化。这些工具包括 2-DE、2D-DIGE、ICAT、蛋白质阵列、MudPIT 和质谱（包括 SELDI-TOF）。这些工具的应用有助于在全球范围内揭示与癌症相关的分子机制，并可能带来新的诊断测试和治疗方法的改进。在这篇综述中，这些方法在其对癌症生物标志物发现的贡献的背景下进行了评估。特别值得关注的是 ProteinChip/SELDI-TOF 平台作为蛋白质组模式分析的革命性方法所做出的有前途的贡献，该方法可在床边应用，以高灵敏度和特异性来发现区分疾病和无病状态的蛋白质谱。了解所使用的基本概念和工具将说明如何最好地应用这些技术来为患者带来早期癌症检测和改善患者护理的利益。
The ability of Medicine to effectively treat and cure cancer is directly dependent on their capability to detect cancers at their earliest stages. The advent of proteomics has brought with it the hope of discovering novel biomarkers in the early phases of tumorigenesis that can be used to diagnose diseases, predict susceptibility, and monitor progression. This discipline incorporates technologies that can be applied to complex biosystems such as serum and tissue in order to characterize the content of, and changes in, the proteome induced by physiological changes, benign or pathologic. These tools include 2-DE, 2D-DIGE, ICAT, protein arrays, MudPIT and mass spectrometries including SELDI-TOF. The application of these tools has assisted to uncover molecular mechanisms associated with cancer at the global level and may lead to new diagnostic tests and improvements in therapeutics. In this review these approaches are evaluated in the context of their contribution to cancer biomarker discovery. Particular attention is paid to the promising contribution of the ProteinChip/SELDI-TOF platform as a revolutionary approach in proteomic patterns analysis that can be applied at the bedside for discovering protein profiles that distinguish disease and disease-free states with high sensitivity and specificity. Understanding the basic concepts and tools used will illustrate how best to apply these technologies for patient benefit for the early cancer detection and improved patient care.