Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifying biomarkers of laryngeal carcinoma
Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifying biomarkers of laryngeal carcinoma
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DOI：
10.1007/s13277-011-0216-z
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发表时间：
2011-12-01
期刊：
影响因子：
--
通讯作者：
Yong, Liang
中科院分区：
文献类型：
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作者：
Liu, Chibo;Pan, Chunqin;Yong, Liang
目的：研究喉癌患者血清蛋白质指纹图谱，并利用表面增强激光解吸电离飞行时间质谱（SELDI-TOF-MS）技术筛选喉癌发生、发展过程中与喉癌密切相关的蛋白质分子。来自68名LC患者和117名非癌症对照样品（75名健康志愿者和42名声带息肉）的血清样品。Q10蛋白芯片和PBSII-C蛋白芯片读取器（Ciphergen Biosystems Inc.）用了所有血清样品的蛋白质指纹表达以及癌症和非癌症组之间的所得谱用Biomarker Wizard系统分析。检测到一组蛋白质组峰。结果表明，在LC中，m/z分别为6，440、5，915和9，190 Da的3个生物标志物峰的相对分子质量分别为5，915、6，440和9，190 Da，其中m/z为6，440的生物标志物峰表达下调，m/z为5，915和9，190的生物标志物峰表达上调。该诊断模型可区分LC患者和对照组，敏感性为92.1%，特异性为91.9%。此外，盲法试验数据显示敏感性为86.7%，特异性为89.1%。这些数据表明，SELDI技术可用于筛选LC患者血清中表达水平改变的蛋白。这些蛋白质峰被认为是LC的特异性血清生物标志物，具有进一步研究的潜在价值。
The aim is to study the serum protein fingerprint of patients with laryngeal carcinoma (LC) and to screen for protein molecules closely related to LC during the onset and progression of the disease with surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Serum samples from 68 patients with LC and 117 non-cancer control samples (75 healthy volunteers and 42 Vocal fold polyps). Q10 protein chips and PBSII-C protein chips reader (Ciphergen Biosystems Inc.) were used. The protein fingerprint expression of all the Serum samples and the resulting profiles between cancer and non-cancer groups were analyzed with Biomarker Wizard system. A group of proteomic peaks were detected. Three differently expressed potential biomarkers were identified with the relative molecular weights of 5,915, 6,440 and 9,190 Da. Among the three peaks, the one with m/z 6,440 was down-regulated, and the other two peaks with m/z 5,915 and 9,190 were up-regulated in LC. This diagnostic model could distinguish LC patients from controls with a sensitivity of 92.1% and a specificity of 91.9%. Moreover, blind test data showed a sensitivity of 86.7% and a specificity of 89.1%. The data suggested that SELDI technology could be used to screen proteins with altered expression levels in the serum of LC patients. These protein peaks were considered as specific serum biomarkers of LC and have the potential value for further investigation.