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表面增强激光解吸离子化飞行时间质谱血清蛋白指纹图谱在喉癌诊断中的应用
引用本文:张秀强,陈瑛,王巾帼,曲迅,邓碧萍,王景芝,解光,李梅,许风雷.表面增强激光解吸离子化飞行时间质谱血清蛋白指纹图谱在喉癌诊断中的应用[J].临床耳鼻咽喉头颈外科杂志,2006,20(18):842-846.
作者姓名:张秀强  陈瑛  王巾帼  曲迅  邓碧萍  王景芝  解光  李梅  许风雷
作者单位:1. 宁波市医疗中心李惠利医院耳鼻咽喉科,浙江宁波,315041
2. 山东大学齐鲁医院耳鼻咽喉科
3. 浙江省宁波市医疗中心,李惠利医院院放疗科
4. 山东大学齐鲁医院临床基础研究所
摘    要:目的:用表面增强激光解吸离子化飞行时间质谱(SELDI-TOF—MS)分析喉癌和正常人血清蛋白指纹图谱的变化,建立能鉴别喉癌和正常人血清标志物的诊断模型。方法:收集46例喉癌患者和51例正常人的血清,用WCX2(弱阳离子交换芯片)蛋白质芯片和SELDI—TOF—MS检测蛋白质质谱的表达。用Biomarker Patterns Software分析软件进行数据处理,建立区分喉癌与正常人血清中蛋白质谱差异表达模型,并用此模型对另外12例喉癌患者及13例正常人进行盲法交叉验证。结果:在分子量2000~20000范围内,共检测到76个有差异的蛋白峰,其中27个有统计学意义(P〈0.05),建立了由3个差异蛋白组成的喉癌诊断模型,其准确率为88.7%(86/97),敏感性为87%(40/46),特异性为90.2%(46/51),双盲法验证结果其敏感性为83.3%(10/12),特异性为84.6%(11/13)。结论:用SELDI—TOF—MS技术初步建立的区分喉癌与正常人血清蛋白差异表达模型可以区别喉癌和正常人,可能为喉癌的早期诊断提供了新的手段。

关 键 词:喉肿瘤  表面增强激光解吸离子化飞行时间质谱  蛋白质芯片  肿瘤标志物
文章编号:1001-1781(2006)18-0842-05
收稿时间:2006-01-20
修稿时间:2006年1月20日

Application of SELDI-TOF MS technology analyzing serum protein profiling for distinguishing laryngeal carcinoma from ordinary people
ZHANG Xiuqiang,CHEN Ying,WANG Jinguo,QU Xun,DENG Biping,WANG Jingzhi,XIE Guang,LI Mei,XU Fenglei.Application of SELDI-TOF MS technology analyzing serum protein profiling for distinguishing laryngeal carcinoma from ordinary people[J].Journal of Clinical Otorhinolaryngology,2006,20(18):842-846.
Authors:ZHANG Xiuqiang  CHEN Ying  WANG Jinguo  QU Xun  DENG Biping  WANG Jingzhi  XIE Guang  LI Mei  XU Fenglei
Institution:Department of Otorhinolaryngology, Li-Huili Hospital, Medical Center of Ningbo, Zhejiang, 315041, China. zhxqsd@163.com
Abstract:OBJECTIVE: To analyze the spectrometric serum protein profiling of laryngeal carcinoma and healthy controls by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS), to establish serum marker pattern for the diagnosis of laryngeal carcinoma. METHOD: The serum samples of 46 cases of laryngeal carcinoma, 51 cases of healthy controls on WCX2 proteinchip, were collected. the spectrometric protein profiling was defected by SELDI-TOF-MS, the data were analyzed by Biomarker Patterns Software provided by Ciphergen Corp. A primary diagnosis model of laryngeal carcinoma was set up. This model was further valuated by blind test with otherl2 cases patients and 13 cases healthy controls. RESULT: Seventy-six protein peaks were detected at the molecular range of 2000-20000 Da., among which 27 ones were significantly different between laryngeal carcinoma and controls( P < 0.05). A diagnostic pattern consisting of 3 protein peaks was established with of accuracy 88.7% (86/97), sensitivity 87% (40/46), specificity 90.2% (46/51), Blind test generated a sensitivity of 83.3% (10/12)and specificity of 84.6% (11/13) respectively. CONCLUSION: It is successful to develop and evaluate the different spectrometric protein profiling patterns of laryngeal carcinoma and healthy control by SELDI-TOF-MS. This affords possibly a new method to early diagnosis of laryngeal carcinoma.
Keywords:Laryngeal neoplasms  Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry  ProteinChip array  Biomarker
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