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胃癌患者血清比较蛋白质组学研究 被引量:20

Comparative proteomics studies in gastric cancer from serum by SELDI TOF mass spectrometry
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摘要 目的应用蛋白质质谱分析方法寻找胃癌鉴定的生物标志物.方法应用美国CipherGen公司金属亲和表面(IMAC3)芯片和蛋白芯片仪检测38例胃癌患者、82例正常人血清中的蛋白质相对含量.结果 38例胃癌患者与82例正常人在质荷比为1 723~14 048Da间有18种血清蛋白质含量有显著差异.在学习模式下38例胃癌患者及82例正常人均被正确分组,准确率为100%(120/120),灵敏度和特异性分别为100%(38/38)、100%(82/82);在检测模式下38例胃癌患者中有31例被正确论断,82例正常人中有81例被正确分组,灵敏度和特异性分别为81.6% (31/38)、98.8%(81/82).结论该方法可快速、准确检测胃癌,灵敏度、特异性高. Objective To search for the biomarker used to determine gastric cancer by the application of protein mass spectrometry analysis. Methods The relative contents of serum proteins were detected of 38 patients with gastric cancer and 82 healthy people by IMAC3 (CipherGen Inc.) chip and proteinchip. Results At the M/Z values range from 1 723Da to 14 048Da, 18 kind of protein contents are obviously different between the two groups. In the learning mode, all the 120 testers were correctly distinguished, both the sensitivity and specificity reached to 100%. While in the test mode, 31 patients and 81 control people were correctly distinguished, the accuracy were 81 6%(31/38) and 98 8%(81/82), respectively. Conclusion Gastric cancer can be quickly and exactly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application
出处 《解放军医学杂志》 CAS CSCD 北大核心 2005年第6期457-459,共3页 Medical Journal of Chinese People's Liberation Army
关键词 胃肿瘤 肿瘤标记 生物学 表面增强激光解吸附离子化时间飞行质谱(SELDI-TOF-MS) stomach neoplasm tumor marker, biological surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI TOF MS)
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参考文献5

  • 1Merchant M, Weinberger SR. Recent advancements in surface-enhanced laser desorption/ionization-time of flight-mass spectrometry. Electrophoresis, 2000, 21(6): 1164
  • 2Srinivas PR, Srivastava S, Hanash S et al. Proteomics in early detection of cancer. Clin Chem, 2001, 47(10):1901
  • 3Weinberger SR, Morris TS, Pawlak M. Recent trends in protein biochip technology. Pharmacogenomics, 2000,1(4): 395
  • 4Petricoin EF, Ardekani AM, Hitt BA et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet, 2002,359:572
  • 5Adam BL, Qu Y, Davis JW et al. Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. Cancer Res, 2002, 62:3609

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