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首页> 外文期刊>Science in China. Series C, Life science >Proteomic approaches to biomarker discovery in lung cancers by SELDI technology
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Proteomic approaches to biomarker discovery in lung cancers by SELDI technology

机译:蛋白质组学方法通过SELDI技术在肺癌中发现生物标志物

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The purpose of the present work is to identify protein profiles that could be used to discover specific biomarkers in serum and discriminate lung cancer. Thirty serum samples from patients with lung cancer (15 cases of primary brochogenic carcinoma, 9 cases of metastasis lung cancer and 6 cases of lung cancer after chemotherapy) and twelve from healthy individuals were analyzed by SELDI (Surfaced Enhanced Laser Desorption/lonization) technology. Anion-exchange columns were used to fractionate the sera with 6 designated pH washing solutions. Two types of protein chip arrays, IMAC-Cu and WCX2, were employed. Protein chips were examined in PBSII ProteinChip Reader (Ciphergen Biosystems Inc.) and the resulting profiles between cancer and normal were analyzed with Biomarker Wizard System. In total, 15 potential lung cancer biomarkers, of which 6 were up-regulated and 9 were down-regulated, were discovered in the serum samples from patients with lung cancer. 5 of 15 these biomarkers were able to be detected on both WCX2 and IMAC-Cu protein chips. The sensitivities provided by the individual markers range from 44.8% to 93.1% and the specificities were 85.0% — 94.4%. Our results suggest that serum is a capable resource for detection of lung cancer with specific biomarkers. Moreover, protein chip array system was shown to be a useful tool for identification, as well as detection of disease biomarkers in sera.
机译:本工作的目的是鉴定可用于发现血清中特定生物标志物并区分肺癌的蛋白质谱。使用SELDI(增强激光脱附/离子化)技术分析了30例肺癌患者的血清样本(15例原发性支气管癌,9例转移肺癌和6例肺癌患者)以及12例健康个体。阴离子交换柱用于用6种指定的pH洗涤液分离血清。使用了两种类型的蛋白质芯片阵列,即IMAC-Cu和WCX2。在PBSII ProteinChip Reader(Ciphergen Biosystems Inc.)中检查蛋白质芯片,并使用Biomarker Wizard System分析癌症与正常人之间的结果。总共从肺癌患者的血清样本中发现了15种潜在的肺癌生物标志物,其中6种被上调,而9个被下调。在WCX2和IMAC-Cu蛋白芯片上都能检测到15种生物标记中的5种。单个标记物提供的灵敏度在44.8%至93.1%之间,特异性为85.0%至94.4%。我们的结果表明,血清是检测具有特定生物标志物的肺癌的有效资源。此外,蛋白质芯片阵列系统被证明是用于鉴定以及检测血清中疾病生物标志物的有用工具。

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