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首页> 外文期刊>Critical reviews in clinical laboratory sciences >Application of proteomic technologies for prostate cancer detection, prognosis, and tailored therapy.
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Application of proteomic technologies for prostate cancer detection, prognosis, and tailored therapy.

机译:蛋白质组学技术在前列腺癌检测,预后和量身定制的治疗中的应用。

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Prostate cancer affects 3 in 10 men over the age of 50 years, and, unfortunately, the clinical course of the disease is poorly predicted. At present, there is no means that can distinguish indolent from aggressive/metastatic tumors. Thus, a personalized clinical approach could be helpful in diagnosing clinically relevant disease and guiding appropriate patient therapy. Individualized medicine requires a deep knowledge of the molecular mechanisms underpinning prostate cancer carcinogenesis. Proteomics may be the most powerful way to uncover biomarkers of detection, prognosis, and prediction, as proteins do the work of the cell and represent the majority of the diagnostic markers and drug targets today. Proteomic technologies are rapidly advancing beyond the two-dimensional gel separation techniques of the past to new types of mass spectrometry and protein microarray analyses. Biological fluids and tissue-cell proteomes from men with prostate cancer are being explored to identify diagnostic and prognostic biomarkers and therapeutic targets using these new proteomic approaches. Traditional and novel proteomic technology and their application to prostate cancer studies in translational research will be presented and discussed in this review. Proteomics coupled with powerful nanotechnology-based biomarker discovery approaches may provide a new and exciting opportunity for body fluid-borne biomarker discovery and characterization. While innovative mass spectrometry technology and nanotrap could be applied to improve the discovery and measurement of biomarkers for the early detection of prostate cancer, the use of tissue proteomic tools such as the reverse-phase protein microarray may provide new approaches for personalization of therapies tailored to each tumor's unique pathway activation network.
机译:前列腺癌会影响50岁以上的男性中的十分之三,而且不幸的是,对该疾病的临床病程预测不足。目前,没有任何方法可以区分惰性肿瘤与侵袭性/转移性肿瘤。因此,个性化的临床方法可能有助于诊断临床相关疾病并指导适当的患者治疗。个性化医学需要深入了解前列腺癌致癌作用的分子机制。蛋白质组学可能是发现检测,预后和预测生物标志物的最有效方法,因为蛋白质可以发挥细胞的作用并代表当今的大多数诊断标志物和药物靶标。蛋白质组学技术正在迅速超越过去的二维凝胶分离技术,发展为新型的质谱分析和蛋白质微阵列分析。正在探索来自患有前列腺癌的男性的生物体液和组织细胞蛋白质组,以使用这些新的蛋白质组学方法鉴定诊断和预后生物标志物以及治疗靶标。本文将介绍和讨论传统的和新型的蛋白质组学技术及其在前列腺癌研究中的应用。蛋白质组学与强大的基于纳米技术的生物标记物发现方法相结合,可能为体液传播的生物标记物发现和表征提供新的令人兴奋的机会。尽管可以将创新的质谱技术和纳米阱技术应用于改善前列腺癌早期检测的生物标志物的发现和测量,但组织蛋白质组学工具(例如反相蛋白微阵列)的使用可能会提供针对个性化疗法的新方法每个肿瘤的独特途径激活网络。

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