Zaki Ahmad, Ramadan Ragaa Abdelkader, Moez Pacint, Ghareeb Hala, Elkarmouty Ahmad
Department of Chemical Pathology, Medical Research Institute, Alexandria University, Egypt. Email:
Asian Pac J Cancer Prev. 2019 Jan 25;20(1):175-184. doi: 10.31557/APJCP.2019.20.1.175.
Objective: The present study aimed to determine peptidome patterns in breast cancer (BC). Methods: We analyzed the plasma proteomic profiling of 80 BC patients and 50 healthy controls, using hydrophobic interaction chromatography magnetic beads (MB-HIC8) separation followed by Matrix assisted laser desorption ionization/ time of flight mass spectrometry (MALDI-TOF MS). Results: ClinProTools software identified 92 peaks that differed among the analyzed groups, 33 peaks were significantly different (P < 0.05). Of those, 22 peaks were up-regulated while 11 peaks were down-regulated in BC patients compared with the healthy controls. Three peptide ion signatures (m/z 1,570.31, 1,897.4 and 2,568.17) were provided by the Quick Classifier model to discriminate BC patients from healthy control subjects with 96.4% accuracy. External validation was performed by an independent group and this achieved a sensitivity of 100% and a specificity of 76.9%. Conclusion: MALDI-TOF MS has good analytical performance in distinguishing BC patients from healthy controls.
本研究旨在确定乳腺癌(BC)的肽组模式。方法:我们分析了80例BC患者和50例健康对照者的血浆蛋白质组学特征,采用疏水相互作用色谱磁珠(MB-HIC8)分离,随后进行基质辅助激光解吸电离/飞行时间质谱(MALDI-TOF MS)分析。结果:ClinProTools软件识别出分析组之间存在差异的92个峰,其中33个峰有显著差异(P < 0.05)。其中,与健康对照相比,BC患者中有22个峰上调,11个峰下调。快速分类模型提供了三个肽离子特征峰(m/z 1,570.31、1,897.4和2,568.17),用于区分BC患者和健康对照者,准确率为96.4%。独立组进行了外部验证,灵敏度达到100%,特异性为76.9%。结论:MALDI-TOF MS在区分BC患者和健康对照方面具有良好的分析性能。