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利用基质辅助激光解吸/电离飞行时间质谱技术探索肺癌恶性胸腔积液中的肽类生物标志物

The Exploration of Peptide Biomarkers in Malignant Pleural Effusion of Lung Cancer Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.

作者信息

Xu Jing, Xu Bin, Tang Chuanhao, Li Xiaoyan, Qin Haifeng, Wang Weixia, Wang Hong, Wang Zhongyuan, Li Liangliang, Li Zhihua, Gao Hongjun, He Kun, Liu Xiaoqing

机构信息

Department of Pulmonary Oncology, 307 Hospital, PLA, Beijing, China.

National Center of Biomedical Analysis, Beijing, China.

出版信息

Dis Markers. 2017;2017:3160426. doi: 10.1155/2017/3160426. Epub 2017 Mar 13.

Abstract

. Diagnoses of malignant pleural effusion (MPE) are a crucial problem in clinics. In our study, we compared the peptide profiles of MPE and tuberculosis pleural effusion (TPE) to investigate the value of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) in diagnosis of MPE. . The 46 MPE and 32 TPE were randomly assigned to training set and validation set. Peptides were isolated by weak cation exchange magnetic beads and peaks in the / range of 800-10000 Da were analyzed. Comparing the peptide profile between 30 MPE and 22 TPE samples in training set by ClinProTools software, we screened the specific biomarkers and established a MALDI-TOF-MS classification of MPE. Finally, the other 16 MPE and 10 TPE were included to verify the model. We additionally determined carcinoembryonic antigen (CEA) in MPE and TPE samples using electrochemiluminescent immunoassay method. . Five peptide peaks (917.37 Da, 4469.39 Da, 1466.5 Da, 4585.21 Da, and 3216.87 Da) were selected to separate MPE and TPE by MALDI-TOF-MS. The sensitivity, specificity, and accuracy of the classification were 93.75%, 100%, and 96.15%, respectively, after blinded test. The sensitivity of CEA was significantly lower than MALDI-TOF-MS classification ( = 0.035). . The results indicate MALDI-TOF-MS is a potential method for diagnosing MPE.

摘要

恶性胸腔积液(MPE)的诊断是临床中的一个关键问题。在我们的研究中,我们比较了MPE和结核性胸腔积液(TPE)的肽谱,以研究基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)在MPE诊断中的价值。46例MPE和32例TPE被随机分配到训练集和验证集。通过弱阳离子交换磁珠分离肽,并分析800 - 10000 Da范围内的峰。使用ClinProTools软件比较训练集中30例MPE和22例TPE样本的肽谱,我们筛选出特异性生物标志物并建立了MPE的MALDI-TOF-MS分类。最后,纳入另外16例MPE和10例TPE以验证该模型。我们还使用电化学发光免疫分析法测定了MPE和TPE样本中的癌胚抗原(CEA)。选择五个肽峰(917.37 Da、4469.39 Da、1466.5 Da、4585.21 Da和3216.87 Da)通过MALDI-TOF-MS区分MPE和TPE。盲法测试后,分类的敏感性、特异性和准确性分别为93.75%、100%和96.15%。CEA的敏感性显著低于MALDI-TOF-MS分类(P = 0.035)。结果表明MALDI-TOF-MS是诊断MPE的一种潜在方法。

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