Dong De-Xin, Ji Zhi-Gang, Li Han-Zhong, Yan Wei-Gang, Zhang Yu-Shi
Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Chin Med Sci J. 2017 Dec 30;32(4):248-252. doi: 10.24920/J1001-9294.2017.046.
Objective To evaluate the application of weak cation exchange (WCX) magnetic bead-based Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) in detecting differentially expressed proteins in the urine of renal clear cell carcinoma (RCCC) and its value in the early diagnosis of RCCC.Methods Eleven newly diagnosed patients (10 males and 1 female, aged 46-78, mean 63 years) of renal clear cell carcinoma by biopsy and 10 healthy volunteers (all males, aged 25-32, mean 29.7 years) were enrolled in this study. Urine samples of the RCCC patients and healthy controls were collected in the morning. Weak cation exchange (WCX) bead-based MALDI-TOF MS technique was applied in detecting differential protein peaks in the urine of RCCC. ClinProTools2.2 software was utilized to determine the characteristic proteins in the urine of RCCC patients for the predictive model of RCCC. Results The technique identified 160 protein peaks in the urine that were different between RCCC patients and health controls; and among them, there was one peak (molecular weight of 2221.71 Da) with statistical significance (P=0.0304). With genetic algorithms and the support vector machine, we screened out 13 characteristic protein peaks for the predictive model. Conclusions The application of WCX magnetic bead-based MALDI-TOF MS in detecting differentially expressed proteins in urine may have potential value for the early diagnosis of RCCC.
目的 评估基于弱阳离子交换(WCX)磁珠的基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)技术在检测肾透明细胞癌(RCCC)患者尿液中差异表达蛋白质的应用及其在RCCC早期诊断中的价值。方法 选取11例经活检新确诊的肾透明细胞癌患者(男10例,女1例,年龄46 - 78岁,平均63岁)和10名健康志愿者(均为男性,年龄25 - 32岁,平均29.7岁)纳入本研究。清晨采集RCCC患者及健康对照者的尿液样本。采用基于弱阳离子交换(WCX)磁珠的MALDI-TOF MS技术检测RCCC患者尿液中的差异蛋白峰。利用ClinProTools2.2软件确定RCCC患者尿液中的特征性蛋白质,用于构建RCCC预测模型。结果 该技术鉴定出RCCC患者与健康对照者尿液中有160个蛋白峰存在差异;其中有1个峰(分子量为2221.71 Da)具有统计学意义(P = 0.0304)。通过遗传算法和支持向量机,筛选出13个特征性蛋白峰用于预测模型。结论 基于WCX磁珠的MALDI-TOF MS技术在检测尿液中差异表达蛋白质方面,可能对RCCC的早期诊断具有潜在价值。