Novel proteomics-based plasma test for early detection of multiple cancers in the general population

B. Budnik, Hossein Amirkhani, M. Forouzanfar, A. Afshin
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Abstract

Early detection of cancer is crucial for reducing the global burden of cancer, but effective screening tests for many cancers do not exist. This study aimed to develop a novel proteome-based multi-cancer screening test that can detect early-stage cancers with high accuracy.We collected plasma samples from 440 individuals, healthy and diagnosed with 18 early-stage solid tumours. Using proximity extension assay, we measured more than 3000 high-abundance and low-abundance proteins in each sample. Then, using a multi-step statistical approach, we identified a limited set of sex-specific proteins that could detect early-stage cancers and their tissue of origin with high accuracy.Our sex-specific cancer detection panels consisting of 10 proteins showed high accuracy for both males (area under the curve (AUC): 0.98, 95% CI 0.96, 1) and females (AUC: 0.983, 95% CI 0.95, 1.00). At stage I and at the specificity of 99%, our panels were able to identify 93% (95% CI 79%, 100%) of cancers among males and 84% (95% CI 68%, 100%) of cancers among females. Our sex-specific localisation panels consisted of 150 proteins and were able to identify the tissue of origin of most cancers in more than 80% of cases. The analysis of the plasma concentrations of proteins selected showed that almost all the proteins were in the low-concentration part of the human plasma proteome.The proteome-based screening test showed promising performance compared with other technologies and could be a starting point for developing a new generation of screening tests for the early detection of cancer.
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基于蛋白质组学的新型血浆检验法,用于早期检测普通人群中的多种癌症
癌症的早期检测对于减轻全球癌症负担至关重要,但目前还没有针对许多癌症的有效筛查测试。本研究旨在开发一种新型的基于蛋白质组的多癌症筛查检测方法,该方法可高精度地检测早期癌症。我们收集了440名健康和确诊为18种早期实体瘤患者的血浆样本。我们收集了 440 名健康和确诊为 18 种早期实体瘤患者的血浆样本,利用近距离延伸测定法,测量了每个样本中 3000 多种高丰度和低丰度蛋白质。然后,我们采用多步骤统计方法,确定了一组有限的性别特异性蛋白质,这些蛋白质可高精度地检测早期癌症及其来源组织。我们的性别特异性癌症检测面板由 10 种蛋白质组成,对男性和女性都显示出很高的准确性(曲线下面积(AUC):0.98,95% CI):我们的性别特异性癌症检测面板由 10 种蛋白质组成,对男性(曲线下面积(AUC):0.98,95% CI 0.96,1)和女性(AUC:0.983,95% CI 0.95,1.00)的准确率都很高。在第一阶段和特异性为 99% 的情况下,我们的面板能够识别 93% (95% CI 79%,100%)的男性癌症和 84% (95% CI 68%,100%)的女性癌症。我们的性别特异性定位面板由 150 种蛋白质组成,能够识别 80% 以上病例中大多数癌症的原发组织。对所选蛋白质血浆浓度的分析表明,几乎所有蛋白质都属于人体血浆蛋白质组的低浓度部分。与其他技术相比,基于蛋白质组的筛查测试显示出良好的性能,可以作为开发新一代癌症早期检测筛查测试的起点。
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