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用于诊断膀胱癌生物标志物的尿蛋白质组学分析。

Urinary proteomic profiling for diagnostic bladder cancer biomarkers.

机构信息

MD Anderson Cancer Center - Orlando, Cancer Research Institute, 6900 Lake Nona Boulevard, Orlando, FL 32827, USA.

出版信息

Expert Rev Proteomics. 2009 Oct;6(5):507-14. doi: 10.1586/epr.09.70.

Abstract

The ability to detect and monitor bladder cancer in noninvasively obtained urine samples is a major goal. While a number of protein biomarkers have been identified and commercially developed, none have greatly improved the accuracy of sample evaluation over invasive cystoscopy. The ongoing development of high-throughput proteomic profiling technologies will facilitate the identification of molecular signatures that are associated with bladder disease. The appropriate use of these approaches has the potential to provide efficient biomarkers for the early detection and monitoring of recurrent bladder cancer. Identification of disease-associated proteins will also advance our knowledge of tumor biology, which, in turn, will enable development of targeted therapeutics aimed at reducing morbidity from bladder cancer. In this article, we focus on the accumulating proteomic signatures of urine in health and disease, and discuss expected future developments in this field of research.

摘要

检测和监测非侵入性尿液样本中膀胱癌的能力是一个主要目标。虽然已经鉴定和商业化了许多蛋白质生物标志物,但没有一种方法能极大地提高样本评估的准确性,超过有创的膀胱镜检查。高通量蛋白质组学分析技术的不断发展将有助于确定与膀胱疾病相关的分子特征。这些方法的合理应用有可能为膀胱癌的早期检测和监测提供有效的生物标志物。鉴定疾病相关的蛋白质也将提高我们对肿瘤生物学的认识,进而开发针对减少膀胱癌发病率的靶向治疗方法。在本文中,我们重点介绍健康和疾病尿液中不断积累的蛋白质组学特征,并讨论该研究领域的预期未来发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6faa/3422861/13849a2d0b28/nihms396961f1.jpg

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