Budnik Bogdan, Amirkhani Hossein, Forouzanfar Mohammad H, Afshin Ashkan
Novelna Inc, Palo Alto, California, USA.
BMJ Oncol. 2024 Jan 9;3(1):e000073. doi: 10.1136/bmjonc-2023-000073. eCollection 2024.
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.
癌症的早期检测对于减轻全球癌症负担至关重要,但许多癌症尚无有效的筛查测试。本研究旨在开发一种基于蛋白质组的新型多癌筛查测试,该测试能够高精度地检测早期癌症。
我们收集了440名个体的血浆样本,这些个体包括健康者以及被诊断患有18种早期实体瘤的患者。使用邻位延伸分析,我们测量了每个样本中3000多种高丰度和低丰度蛋白质。然后,使用多步统计方法,我们确定了一组有限的性别特异性蛋白质,这些蛋白质能够高精度地检测早期癌症及其起源组织。
我们由10种蛋白质组成的性别特异性癌症检测面板对男性(曲线下面积(AUC):0.98,95%置信区间0.96,1)和女性(AUC:0.983,95%置信区间0.95,1.00)均显示出高精度。在I期且特异性为99%时,我们的检测面板能够识别男性中93%(95%置信区间79%,100%)的癌症以及女性中84%(95%置信区间68%,100%)的癌症。我们的性别特异性定位面板由150种蛋白质组成,能够在超过80%的病例中识别出大多数癌症的起源组织。对所选蛋白质血浆浓度的分析表明,几乎所有蛋白质都处于人类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表现出了良好的性能,可能成为开发新一代癌症早期检测筛查测试的起点。