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目的:通过探索新疆地区肾癌患者与健康者之间血清蛋白表达谱的变化,筛选并建立新疆地区肾癌血清标志物诊断模型。方法:采用表面增强激光解吸离子化飞行时间质谱技术和弱阳离子交换蛋白芯片(CM10)对新疆地区44例健康对照与40例肾癌患者血清蛋白表达谱进行检测分析。结果:相比于健康对照组血清蛋白质荷比(mass to charge ratio,M/Z)峰值图谱,肾癌组表现出明显差异。其中10个差异性最大的蛋白(P<0.05),均在健康对照组中低表达,而在肾癌组呈高表达,质荷比分别为5 914、5 940、8 087、8 155、5 949、8 067、5 986、5 346、15 946、6 116。建立的诊断模型是由10个蛋白(M/Z分别为:5 914、5 940、8 087、8 155、5 949、8 067、5 986、5 346、15 946、6 116)构成。应用十倍交叉留一法进行验证,结果此诊断模型的敏感度为92.50%(37/40),特异度为93.18%(41/44)。结论:将表面增强激光解吸电离飞行时间质谱技术以及生物信息学分析软件的联合运用是找到肾癌肿瘤标志物的一种有效的方法,建立的诊断模型能够较准确灵敏的区分健康对照与肾癌人群。其中M/Z 5 914、5 940、8 067、6 116对应的蛋白质可能为β-淀粉样蛋白、人体β-防御素、胃泌素释放前体肽以及金属硫蛋白。
OBJECTIVE: To screen and establish a diagnostic model of serum markers of renal cell carcinoma in Xinjiang by exploring the changes of serum protein profiles between patients with kidney cancer and healthy controls in Xinjiang. Methods: Serum protein expression profiles of 44 healthy controls and 40 patients with renal cell carcinoma in Xinjiang were detected by surface enhanced laser desorption ionization time of flight mass spectrometry and weak cation exchange protein chip (CM10). Results: Compared with the peak value of mass to charge ratio (M / Z) in healthy control group, renal cell carcinoma showed obvious difference. Among them, the ten most differentially expressed proteins (P <0.05) were all low in the healthy control group and were highly expressed in the renal cell carcinoma group with mass-to-charge ratios of 5 914,5 940,8 087,8 155.5 949,8067,5986,5346,15946,6116. The established diagnostic model consisted of 10 proteins (M / Z: 5 914,5 940,8 087,8 155,5 949,8 067,5 986,5 346,15 946,6116). Ten-fold crossover method was used to verify the results of the sensitivity of this diagnostic model was 92.50% (37/40), the specificity was 93.18% (41/44). Conclusion: The combined use of surface enhanced laser desorption / ionization time of flight mass spectrometry and bioinformatics analysis software is an effective method to find the tumor markers of renal cell carcinoma. The established diagnostic model can be more accurate and sensitive to distinguish between healthy controls and renal cancer crowd. Among them, the corresponding proteins of M / Z 5 914,5 940,8 067,6 116 may be β-amyloid, human β-defensin, gastrin releasing precursor peptide and metallothionein.