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Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples

机译:开发基于LC-PRM的顺序工作流程以验证子宫抽吸样品中的子宫内膜癌蛋白质生物标志物

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摘要

About 30% of endometrial cancer (EC) patients are diagnosed at an advanced stage of the disease, which is associated with a drastic decrease in the 5-year survival rate. The identification of biomarkers in uterine aspirate samples, which are collected by a minimally invasive procedure, would improve early diagnosis of EC. We present a sequential workflow to select from a list of potential EC biomarkers, those which are the most promising to enter a validation study. After the elimination of confounding contributions by residual blood proteins, 52 potential biomarkers were analyzed in uterine aspirates from 20 EC patients and 18 non-EC controls by a high-resolution accurate mass spectrometer operated in parallel reaction monitoring mode. The differential abundance of 26 biomarkers was observed, and among them ten proteins showed a high sensitivity and specificity (AUC > 0.9). The study demonstrates that uterine aspirates are valuable samples for EC protein biomarkers screening. It also illustrates the importance of a biomarker verification phase to fill the gap between discovery and validation studies and highlights the benefits of high resolution mass spectrometry for this purpose. The proteins verified in this study have an increased likelihood to become a clinical assay after a subsequent validation phase.
机译:大约30%的子宫内膜癌(EC)患者被诊断为处于疾病晚期,这与5年生存率的急剧下降有关。通过微创程序收集的子宫抽吸样品中的生物标志物的鉴定将改善EC的早期诊断。我们提供了一个顺序工作流程,以从潜在的EC生物标志物列表中进行选择,这些生物标志物最有希望进入验证研究。在消除了残留血液蛋白造成的混杂影响之后,采用并行反应监测模式操作的高分辨率精密质谱仪分析了来自20名EC患者和18名非EC对照者的子宫抽吸物中的52种潜在生物标记。观察到26种生物标志物的丰度差异,其中十种蛋白质显示出高灵敏度和特异性(AUC> 0.9)。该研究表明子宫抽吸物是用于EC蛋白生物标志物筛选的有价值的样品。它还说明了生物标志物验证阶段对填补发现和验证研究之间的空白的重要性,并强调了高分辨率质谱仪为此目的的好处。在随后的验证阶段之后,这项研究中验证的蛋白质更有可能成为临床检测方法。

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