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A Hypothesis-Directed Approach to the Targeted Development of a Multiplexed Proteomic Biomarker Assay for Cancer

机译:一种针对癌症的多重蛋白质组生物标志物测定的靶向开发的假设导向方法。

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摘要

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. We propose a hypothesis-driven approach to identify candidate biomarkers, previously characterized in the literature, with the highest probability of clinical applicability. A ranking method, called 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. To demonstrate its application, we applied the HDBR system to identify candidate biomarkers for the development of a diagnostic test for the early detection of colorectal cancer. One-hundred and fifty-one candidate biomarkers were identified from the literature and ranked based on the specified criteria. The top-ranked candidates represent a group of biomarkers whose further study and validation would be justified in order to expedite the development of biomarkers that could be used in a clinical setting.
机译:近年来,已经使用基于发现的蛋白质组学技术鉴定了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,但很少有蛋白质可用于临床验证。我们提出了一种假设驱动的方法来识别候选生物标志物,该标志物以前在文献中有描述,具有最高的临床适用性。开发了一种称为“假设导向的生物标志物排名”(HDBR)系统的排名方法,以根据在临床上有用的生物标志物选择中很重要的七个标准对候选生物标志物进行评分。为了证明其应用,我们将HDBR系统应用于识别候选生物标志物,以开发用于大肠癌早期检测的诊断测试。从文献中确定了151个候选生物标记,并根据指定的标准对其进行了排名。排名靠前的候选者代表一组生物标记物,需要对其进行进一步的研究和验证,以加快生物标记物在临床中的应用。

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