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作 者:叶韵斌[1] 陈玲[2] 佘志廉[3] 陈慧菁[1] 蔡丹[1] 柳硕岩[3] 陈强[1]
机构地区:[1]福建省肿瘤医院肿瘤免疫学研究室,福建福州350014 [2]福建省肿瘤医院消化内科,福建福州350014 [3]福建省肿瘤医院胸外科,福建福州350014
出 处:《基础医学与临床》2009年第11期1174-1179,共6页Basic and Clinical Medicine
基 金:福建省自然科学基金(X0750024)
摘 要:目的分析非小细胞肺癌(NSCLC)血清蛋白表达谱的改变,筛选并建立NSCLC血清蛋白的差异表达谱。方法应用表面增强激光解析电离化飞行时间质谱(SELDI-TOF-MS,简称SELDI-TOF或SELDI)技术,分析100例NSCLC患者和100例正常对照血清,获得蛋白表达图谱。用Biomarker Pattern(BPS)软件分析NSCLC差异蛋白并初步建立诊断模型。通过盲筛进一步验证诊断模型。结果发现NSCLC患者血清与正常人有16个显著差异的蛋白波峰,显著高表达8个(P<0.001)。显著低表达8个(P<0.001)。经BPS软件分析,建立分类树模型,其诊断的灵敏度为100%,特异度为100%。100例样本盲筛验证结果显示,其灵敏度为96.15%,特异度为95.83%。无吸烟史患者较有吸烟史患者血清中显著高表达蛋白质波峰有3个(P<0.05)。鳞癌患者较腺癌患者血清中显著高表达蛋白质波峰有2个(P<0.01)。不同病理分期患者之间未发现差异蛋白峰。结论SELDI-TOF-MS技术可筛选出NSCLC差异性蛋白并建立NSCLC诊断的分类树模型,有望成为NSCLC早期诊断的辅助指标。Objective To analyze the characteristic of serum proteins in non-small cell lung cancer (NSCLC) patients, establish serum markers pattern for the diagnosis of NSCLC. Methods Surface enhanced laser desorption ionization time of flight mass spectormetry(SELDI-TOF-MS) technology was used to analyze serum samples. Biomarker Pattern Software (BPS) was used to detect the protein peaks. Results Sixteen significantly different protein peaks were found in serum samples in NSCLC patients and healthy controls. Eight up-regulated protein peaks and eight down-regulated protein peaks ( P 〈 0. 001 ) were identified in serum samples of NSCLC patients. Three up-regulated protein peaks (P 〈 0.05 ) were identified in serum samples of patients of NSCLC with smoking history. Two up-regulated protein peaks( P 〈 0. 01 ) were identified in serum samples of patients of squamous carcinoma comparing with adenocarcinoma. No significantly different protein peak was found in serum samples of NSCLC patients at different clinical stages . Conclusion SELDI - TOF - MS technology can identify different protein peaks and so function as a diagnostic tool with high sensitivity and specificity.
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