Human whole blood from patients with NSCLC and matching controls processed using VAMS device.

Frozen whole blood cell pellets from NSCLC patients and healthy controls were processed using novel techniques to produce a unique sample using VAMS devices. Samples were analysed using liquid chromatography mass spectrometry to collectively screen 3914 proteins from the whole blood sample. Analysis of all fractions produced a set of 515 differentially expressed proteins. Boosted regression tree analysis of the differentially expressed proteins produced a panel of 13 proteins that were able to discriminate between controls and NSCLC patients with an area under the ROC curve (AUC) of 0.864 for the set. Our rapid and reproducible blood preparation and analysis methods enabled the production of high-quality data from small volumes of complex samples that are typically require significant fractionation prior to proteomic analysis.

本研究以非小细胞肺癌（NSCLC）患者与健康对照者的冷冻全血细胞沉淀为起始材料，通过新型技术处理并结合VAMS设备（VAMS devices）制备得到独特样本。采用液相色谱-质谱联用法（Liquid Chromatography Mass Spectrometry）对样本进行分析，从全血样本中共计筛选出3914种蛋白质。对所有组分进行分析后，得到包含515种差异表达蛋白质（differentially expressed proteins）的数据集。对该差异表达蛋白质集开展提升回归树（Boosted Regression Tree）分析，最终筛选出由13种蛋白质组成的分类标志物面板，该面板可有效区分健康对照者与非小细胞肺癌患者，其受试者工作特征曲线下面积（AUC）达0.864。本研究建立的快速且可重复的血液制备与分析方法，可从微量复杂样本中获取高质量数据——这类样本通常需要在蛋白质组学分析前进行繁复的组分分离。