PO.CH02.01 · 化学
使用新型基于NGS的免疫测定法对400种血浆蛋白进行绝对定量:乳腺癌中的分析验证与生物标志物发现
Absolute quantification of 400 plasma proteins using a novel NGS-based immunoassay: Analytical validation and biomarker discovery in breast cancer
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摘要 Abstract
中文摘要
基于下一代测序(NGS)的免疫测定法实现了多重、灵敏、宽动态范围的蛋白检测,但现有平台缺乏绝对定量能力,也缺乏将蛋白质组学发现转化为适用于下游研究平台的聚焦测定组合的清晰路径。我们介绍了一种来自ProteinXI(Meso Scale Diagnostics, LLC.(MSD)旗下部门)的新型高重免疫测定平台,其具备准确且可重复的绝对定量能力,并展示了在人体生物体液中同时检测数百个靶标的能力。我们还展示了其与MSD高通量电化学发光(ECL)平台上类似测定的高度一致性,从而提供了一条通往聚焦验证组合的高效途径。使用一组来自健康供体的40份市售血浆样本,对ProteinXI Discovery 400组合的分析灵敏度、精密度、可重复性和稀释线性进行了评估。通过使用MSD V-PLEX或U-PLEX测定对同一样本组进行检测,评估了100余种分析物与成熟商业免疫测定的一致性。为评估转化相关性,我们检测了一个由387名不同分期和分子亚型乳腺癌受试者组成的队列的血浆样本,这些受试者在新辅助治疗(NAT)期间接受监测。样本采集时间点为基线(治疗前)、第二治疗周期第1天(C2D1)以及手术前。在NAT前后获取肿瘤和淋巴结活检,并使用MD Anderson残余癌负荷(RCB)评分评估治疗反应。该平台显示出高动态范围,90%的测定在检测下限(LLOD)和定量上限(ULOQ)之间跨越至少4个数量级。部分测定的分析灵敏度超过1 fg/mL,中位LLOD为0.48 pg/mL。大多数(80%)分析物在至少75%的健康血浆样本中处于可定量范围内。85%的可定量分析物的稀释线性介于70%至130%之间。所有可定量样本和分析物计算浓度的中位板内CV为6.8%(IQR=3.1%-13.3%)。计算浓度的中位板间和批间CV分别为10.3%和11.7%。与U-PLEX和V-PLEX免疫测定的一致性较高,84%的测定Pearson相关系数>0.8。在乳腺癌样本中,经典标志物CA15-3、CEA、CA125和Cytokeratin 8相对于健康对照升高,并与肿瘤分期相关,VEGF-A、VCAM-1、MMP-7和Osteopontin亦然。高基线Ki67和Leptin水平与较低的RCB评分相关。PDGF-AA和PDGF-AB均随NAT降低,而BAFF和GDF-15升高。这些结果证明了ProteinXI平台稳健的分析性能及重现预期生物学模式的能力,支持其转化应用价值。
查看英文原文 English abstract
Next generation sequencing (NGS)-based immunoassays have enabled multiplex, sensitive, wide dynamic range protein measurements, but existing platforms lack absolute quantitation and a clear path for translating proteomic hits into focused assay panels on platforms suitable for down-stream studies. We introduce a novel high multiplex immunoassay platform from ProteinXI, a division of Meso Scale Diagnostics, LLC. (MSD), with accurate and reproducible absolute quantification, and demonstrate simultaneous measurement of hundreds of targets in human biofluids. We also show strong concordance with analogous assays on MSD's high-throughput electrochemiluminescence (ECL) platform, providing an efficient route to focused validation panels. The ProteinXI Discovery 400 panel was evaluated for analytical sensitivity, precision, reproducibility and dilution linearity using a set of 40 commercially sourced plasma samples from healthy donors. Concordance with well-established commercial immunoassays was assessed for over one hundred analytes by measuring the same sample set using MSD V-PLEX or U-PLEX assays. To assess translational relevance, we measured plasma samples from a cohort of 387 subjects with breast cancer of varying stages and molecular subtypes monitored during neoadjuvant therapy (NAT). Samples were collected at baseline (pre-treatment), on day 1 of the second therapy cycle (C2D1), and prior to surgery. Tumor and lymph node biopsies were obtained before and after NAT, and treatment response was evaluated using the MD Anderson Residual Cancer Burden (RCB) score. The platform showed high dynamic range, with 90% of assays spanning at least 4 logs between lower limit of detection (LLOD) and upper limit of quantitation (ULOQ). Analytical sensitivity exceeded 1 fg/mL for some assays, with a median LLOD of 0.48 pg/mL. Most (80%) analytes were within the quantifiable range in at least 75% of healthy plasma samples. Dilution linearity was between 70% and 130% for 85% of quantifiable analytes. Median intraplate CVs of calculated concentrations across all quantifiable samples and analytes was 6.8% (IQR=3.1%-13.3%). Median Interplate and inter-run CVs of calculated concentrations were 10.3 and 11.7% respectively. Concordance with U-PLEX and V-PLEX immunoassays was high with Pearson correlations >0.8 for 84% of assays. In breast cancer samples, classical markers CA15-3, CEA, CA125 and Cytokeratin 8 were elevated relative to healthy controls and correlated with tumor stage, as did VEGF-A, VCAM-1, MMP-7 and Osteopontin. High baseline Ki67 and Leptin levels were associated with lower RCB score. PDGF-AA and PDGF-AB both decreased with NAT, while BAFF and GDF-15 increased. These results demonstrate the ProteinXI platform's robust analytical performance and ability to reproduce expected biological patterns, supporting its translational utility.
利益披露 Disclosure
D. A. Routenberg, None..
E. A. Gizzie, None..
A. Szabolics, None..
L. Hebert, None..
S. Paul, None..
A. Williams, None..
R. J. Cote, None..
J. N. Wohlstadter, None.