摘要
目的 探讨用表面增强激光解吸／离子化-飞行时间质谱（surface enhanced laser desorption／ionization time-of-flight mass spectrometry，SELDI—TOF—MS）技术建立尿液树形蛋白质谱模型，鉴别膀胱移行细胞癌。方法膀胱肿瘤组61例，均为移行细胞癌；对照组95例，其中正常人53例，非膀胱癌其他泌尿系疾病患者42例。以上随机分为训练组118例，测试组38例。用IMAC-Cu-3芯片检测各尿液标本，并绘制蛋白质谱谱图。结果 将膀胱肿瘤组与对照组尿液标本结果相比较，用ProteinChip Software3．0软件筛选出差异表达蛋白质。Biomarker Pattern Software分类决策树软件对118例训练样本进行分析，并建立树形蛋白质谱模型。最终以3896m／z、4977m／z、9638m／z、15 103m／z和15 509m／z作为判断依据，分出6个最终节点；其筛选膀胱肿瘤的敏感度和特异度分别达到84．8％和91．7％。以38例测试组样本为盲法测试，敏感度和特异度分别达到93．3％和87．0％。结论 利用SELDI—TOF—MS蛋白质技术结合决策树生物信息学分析方法，建立了较为满意的鉴别膀胱癌的尿液树型蛋白质谱模型，为膀胱癌的无创诊断提供了一条新的途径和方法。
Objective To develope a tree analysis pattern of mass spectral urine profiles to discriminate bladder transitional cell carcinoma （TCC） from non-cancer lesions using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry （SELDI-TOF-MS） technology. Methods Urine samples from 61 bladder transitional cell carcinoma （TCCs） patients, 53 healthy volunteers and 42 patients with other urogenital diseases were analyzed using IMAC-Cu-3 ProteinChip. Proteomic spectra were generated by SELDI-TOF- MS. A preliminary ＂training＂ set of spectra derived from analysis of urine from 46 TCC patients, 32 patients with benign urogenital diseases （ BUD）, and 40 age-matched unaffected healthy men were used to train and develop a decision tree classification algorithm which identified a fine-protein mass pattern that discriminated cancers from non-cancers effectively. A blinded test set including 38 cases was used to determine the sensitivity and specificity of the classification system. Results The algorithm identified a cluster pattern that, in the training set, segregated cancer from non-cancer with a sensitivity of 84.8% and specificity of 91.7%. The discriminatory pattern was correctly identified. A sensitivity of 93.3% and a specificity of 87% for the blinded test were obtained when compared the TCC versus non- cancers. Conclusion SELDI-TOF-MS technology is a rapid, convenient and high-throughpnt analyzing method. The urine tree analysis proteomic pattern as a screening tool is effective for differential diagnosis of bladder cancer. More detailed studies are needed to further evaluate the clinical value of this pattern.
出处
《中华肿瘤杂志》
CAS
CSCD
北大核心
2007年第4期274-277,共4页
Chinese Journal of Oncology
基金
上海市启明星计划资助项目（01QB-14033）
