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首页> 外文期刊>Journal of proteome research >Multiplex targeted proteomic assay for biomarker detection in plasma: A pancreatic cancer biomarker case study
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Multiplex targeted proteomic assay for biomarker detection in plasma: A pancreatic cancer biomarker case study

机译:血浆中生物标志物的多重靶向蛋白质组学检测:胰腺癌生物标志物案例研究

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Biomarkers are most frequently proteins that are measured in the blood. Their development largely relies on antibody creation to test the protein candidate performance in blood samples of diseased versus nondiseased patients. The creation of such antibody assays has been a bottleneck in biomarker progress due to the cost, extensive time, and effort required to complete the task. Targeted proteomics is an emerging technology that is playing an increasingly important role to facilitate disease biomarker development. In this study, we applied a SRM-based targeted proteomics platform to directly detect candidate biomarker proteins in plasma to evaluate their clinical utility for pancreatic cancer detection. The characterization of these protein candidates used a clinically well-characterized cohort that included plasma samples from patients with pancreatic cancer, chronic pancreatitis, and healthy age-matched controls. Three of the five candidate proteins, including gelsolin, lumican, and tissue inhibitor of metalloproteinase 1, demonstrated an AUC value greater than 0.75 in distinguishing pancreatic cancer from the controls. In addition, we provide an analysis of the reproducibility, accuracy, and robustness of the SRM-based proteomics platform. This information addresses important technical issues that could aid in the adoption of the targeted proteomics platform for practical clinical utility.
机译:生物标志物是最常在血液中测量的蛋白质。它们的发展在很大程度上取决于抗体的产生,以测试患病和未患病患者血液样本中蛋白质候选物的性能。由于完成任务所需的成本,大量时间和精力,此类抗体测定法的创建一直是生物标志物开发的瓶颈。靶向蛋白质组学是一种新兴技术,在促进疾病生物标记物发展中发挥着越来越重要的作用。在这项研究中,我们应用了基于SRM的靶向蛋白质组学平台直接检测血浆中的候选生物标志物蛋白,以评估其在胰腺癌检测中的临床效用。这些候选蛋白质的表征使用了临床上很好表征的队列,其中包括胰腺癌,慢性胰腺炎和年龄匹配的健康对照患者的血浆样品。五种候选蛋白质中的三种,包括凝溶胶蛋白,lumican和金属蛋白酶1组织抑制剂,在区分胰腺癌和对照组时,其AUC值均大于0.75。此外,我们提供了基于SRM的蛋白质组学平台的重现性,准确性和鲁棒性的分析。该信息解决了重要的技术问题,这些问题可能有助于采用靶向蛋白质组学平台进行实际临床应用。

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