Proteomic patterns for early cancer detection.
Proteomic patterns for early cancer detection.
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DOI：
10.1016/s1359-6446(04)03246-5
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发表时间：
2004-10
影响因子：
7.4
通讯作者：
T. Veenstra;DaRue Prieto;T. Conrads
中科院分区：
文献类型：
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作者：
T. Veenstra;DaRue Prieto;T. Conrads
蛋白质组学的出现带来了发现可用于诊断疾病、预测易感性和监测进展的新型生物标志物的希望。这项工作的大部分重点是对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。蛋白质组模式分析的革命性方法已成为早期诊断卵巢癌、乳腺癌和前列腺癌等疾病的有效方法。该技术能够每天分析数百个临床样本，并有可能成为一种新颖的、高度灵敏的诊断工具，用于疾病的早期检测，或作为治疗反应的预测因子。
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.