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在Stellar MS上进行的定量血浆蛋白质组学助力发现临床相关的癌症生物标志物

Quantitative plasma proteomics on stellar MS enables discovery of clinically relevant cancer biomarkers

海报缩略图:在Stellar MS上进行的定量血浆蛋白质组学助力发现临床相关的癌症生物标志物
编号 7696 展板 20 时间 4/22 09:00–12:00 区域 Section 39 主讲 Stephanie Samra
分会场 Proteomics: Biomarker Discovery and Signaling Networks
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作者与单位 Authors & Affiliations

Stephanie Samra, Qingling Li, Cristina Jacob, Philip Remes, Jared Deyarmin

Thermo Fisher Scientific, San Jose, CA

摘要 Abstract

中文摘要
定量血浆蛋白质组学对于发现能够实现早期癌症检测和患者分层的循环生物标志物至关重要。然而,现有检测方法往往缺乏大型临床研究所需的可扩展性、可重复性和灵敏度。为克服这些局限,我们在Thermo Scientific™ Stellar™质谱仪上开发了一套高通量靶向蛋白质组学工作流程,实现对血浆蛋白的快速、精确定量。该平台快速的采集速度和稳健的保留时间稳定性使其能够在30分钟梯度内对数百种肽段进行全面分析,而MS³碎裂增强了对低丰度靶标的选择性。使用Biognosys PQ500参考肽段试剂盒,我们在结直肠癌和肺癌患者及健康供体的血浆中定量了804个肽段,代表322种血浆蛋白,其中包括57种FDA批准的生物标志物。超过94%的肽段变异系数低于25%,在六个数量级范围内呈线性响应,定量下限低至阿托摩尔(attomole)范围。在结直肠癌血浆中,与对照相比,29种蛋白发生显著改变(校正后p < 0.05,>2倍变化)。值得注意的是,血清淀粉样蛋白A2(SAA2)、alpha-2-糖蛋白样蛋白(A2GL)和补体成分C9(CO9)水平升高——这些蛋白与驱动肿瘤进展的炎症和免疫通路相关。本研究表明,在Stellar MS上进行的定量血浆蛋白质组学提供了识别癌症中临床相关生物标志物特征所需的灵敏度、可重复性和通量。该工作流程为转化蛋白质组学和精准肿瘤学应用提供了稳健且可扩展的基础,弥合了发现与临床验证之间的鸿沟。
查看英文原文 English abstract
Quantitative plasma proteomics is essential for discovering circulating biomarkers that enable early cancer detection and patient stratification. However, existing assays often lack the scalability, reproducibility, and sensitivity required for large clinical studies. To overcome these limitations, we developed a high-throughput targeted proteomics workflow on the Thermo Scientific™ Stellar™ mass spectrometer, enabling rapid and precise quantification of plasma proteins. The platform's fast acquisition speed and robust retention time stability allow comprehensive analysis of hundreds of peptides within a 30-minute gradient, while MS³ fragmentation enhances selectivity for low-abundance targets. Using the Biognosys PQ500 reference peptide kit, we quantified 804 peptides representing 322 plasma proteins, including 57 FDA-approved biomarkers, in plasma from patients with colorectal and lung cancer and healthy donors. More than 94% of peptides showed coefficients of variation below 25%, with linear responses across six orders of magnitude and limits of quantitation down to the attomole range. In colorectal cancer plasma, 29 proteins were significantly altered (adjusted p < 0.05, > 2-fold change) compared with controls. Notably, serum amyloid A2 (SAA2), alpha-2-glycoprotein-like (A2GL), and complement component C9 (CO9) were elevated-proteins implicated in inflammatory and immune pathways driving tumor progression. This study demonstrates that quantitative plasma proteomics on Stellar MS provides the sensitivity, reproducibility, and throughput needed to identify clinically relevant biomarker signatures in cancer. The workflow offers a robust and scalable foundation for translational proteomics and precision oncology applications, bridging the gap between discovery and clinical validation.
利益披露 Disclosure
S. Samra, Thermo Fisher Scientific Employment. Q. Li, Thermo Fisher Scientific Employment. C. Jacob, Thermo Fisher Scientific Employment. P. Remes, Thermo Fisher Scientific Employment. J. Deyarmin, Thermo Fisher Scientific Employment.

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