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SELDI-TOF MS Proteomics in Breast Cancer

机译:SELDI-TOF MS蛋白质组学在乳腺癌中的应用

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Background Proteomic profiling is a rapidly developing technology that may enable early disease screening and diagnosis. Surface-enhanced laser desorption ionization-time of flight mass spectrometry (SELDI-TOF MS) has demonstrated promising results in screening and early detection of many diseases. In particular, it has emerged as a high-throughput tool for detection and differentiation of several cancer types. This review aims to appraise published data on the impact of SELDI-TOF MS in breast cancer. Methods A systematic literature search between 1965 and 2009 was conducted using the PubMed, EMBASE, and Cochrane Library databases. Studies covering different aspects of breast cancer proteomic profiling using SELDI-TOF MS technology were critically reviewed by researchers and specialists in the field. Results Fourteen key studies involving breast cancer biomarker discovery using SELDI-TOF MS proteomic profiling were identified. The studies differed in their inclusion and exclusion criteria, biologic samples, preparation protocols, arrays used, and analytical settings. Taken together, the numerous studies suggest that SELDI-TOF MS methodology may be used as a fast and robust approach to study the breast cancer proteome and enable the analysis of the correlations between proteomic expression patterns and breast cancer. Conclusion SELDI-TOF MS is a promising high-throughput technology with potential applications in breast cancer screening, detection, and prognostication. Further studies are needed to resolve current limitations and facilitate clinical utility.
机译:背景技术蛋白质组分析是一项快速发展的技术,可以实现早期疾病筛查和诊断。表面增强的激光解吸电离飞行时间质谱(SELDI-TOF MS)在许多疾病的筛查和早期检测中显示出令人鼓舞的结果。特别是,它已成为检测和区分几种癌症类型的高通量工具。这篇综述旨在评估有关SELDI-TOF MS对乳腺癌的影响的公开数据。方法使用PubMed,EMBASE和Cochrane图书馆数据库对1965年至2009年进行系统的文献检索。该领域的研究人员和专家对使用SELDI-TOF MS技术对乳腺癌蛋白质组学分析的不同方面进行的研究进行了严格审查。结果确定了十四项涉及使用SELDI-TOF MS蛋白质组学分析法发现乳腺癌生物标志物的关键研究。这些研究在纳入和排除标准,生物学样品,制备方案,使用的阵列和分析设置方面有所不同。综上所述,大量研究表明,SELDI-TOF MS方法可以用作研究乳腺癌蛋白质组学的快速而可靠的方法,并能够分析蛋白质组学表达模式与乳腺癌之间的相关性。结论SELDI-TOF MS是一种有前途的高通量技术,在乳腺癌筛查,检测和预后方面具有潜在的应用前景。需要进一步的研究来解决当前的局限性并促进临床应用。

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