Mackay Emily M, Bathe Oliver F
Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Department of Surgery, University of Calgary, Calgary, AB, Canada, T2N 4N2.
Methods Mol Biol. 2018;1788:123-129. doi: 10.1007/7651_2017_75.
In recent years, hundreds of candidate protein biomarkers have been identified using discovery-based proteomics. Despite the large number of candidate biomarkers, few proteins advance to clinical validation. Here, we describe a hypothesis driven approach to identify candidate biomarkers, previously characterized in the literature, with the highest probability of clinical applicability. A ranking method, the hypothesis directed biomarker ranking (HDBR) system, was developed to score candidate biomarkers based on seven criteria deemed important in the selection of clinically useful biomarkers. The HDBR system was initially applied to identify candidate biomarkers for the development of a diagnostic test for the early detection of colorectal cancer, but this system can be widely applied to identify biomarkers of relevance in different disease states, for diagnosis, prognostication, or any other specific purpose.
近年来，通过基于发现的蛋白质组学已鉴定出数百种候选蛋白质生物标志物。尽管有大量的候选生物标志物，但很少有蛋白质进入临床验证阶段。在此，我们描述了一种假设驱动的方法，用于识别文献中先前已表征的、具有最高临床应用可能性的候选生物标志物。我们开发了一种排名方法，即假设导向生物标志物排名（HDBR）系统，以根据在选择临床有用生物标志物时被认为重要的七个标准对候选生物标志物进行评分。HDBR系统最初被应用于识别用于开发早期检测结直肠癌诊断测试的候选生物标志物，但该系统可广泛应用于识别不同疾病状态下相关的生物标志物，用于诊断、预后或任何其他特定目的。
