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用于早期癌症检测的蛋白质组学模式。

Proteomic patterns for early cancer detection.

作者信息

Veenstra Timothy D, Prieto Darue A, Conrads Thomas P

机构信息

Laboratory of Proteomics and Analytical Technologies, SAIC-Frederick Inc., National Cancer Institute at Frederick, Frederick, MD 21702-1201, USA.

出版信息

Drug Discov Today. 2004 Oct 15;9(20):889-97. doi: 10.1016/S1359-6446(04)03246-5.

Abstract

The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility, and monitor progression. Much of this effort has focused on the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian, breast, and prostate cancer. This technology is capable of analyzing hundreds of clinical samples per day and has the potential to be a novel, highly sensitive diagnostic tool for the early detection of diseases, or as a predictor of response to therapy.

摘要

蛋白质组学的出现带来了发现新型生物标志物的希望,这些生物标志物可用于疾病诊断、预测易感性和监测病情进展。这项工作大多集中在对存在于血清和组织等复杂生物系统中的数千种蛋白质进行质谱鉴定。蛋白质组模式分析中的一种革命性方法已成为卵巢癌、乳腺癌和前列腺癌等疾病早期诊断的有效手段。该技术每天能够分析数百份临床样本,并且有可能成为一种用于疾病早期检测的新型、高灵敏度诊断工具,或者作为治疗反应的预测指标。

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