下咽鳞癌患者血清比较蛋白质组学研究

目的 从蛋白质组学角度探讨下咽癌血清蛋白质组指纹图谱.方法 采集58例下咽癌患者和41正常对照者血清,应用CM10芯片和PBSⅡ-C型蛋白质芯片阅读机检测,对下咽癌组和正常组及下咽癌组内不同亚组间的血清蛋白质指纹图谱比较,寻找相关差异蛋白,初步建立分类树诊断模型和放疗敏感性预测模型.结果 下咽癌组与正常对照组间有9个差异蛋白质峰(P<0.05);建立的下咽癌决策分类树诊断模型诊断符合率为90.10%;下咽癌颈淋巴结转移组和无转移组差异无统计学意义(P>0.05);分化较差组和分化较好组有1个蛋白差异有统计学意义(P<0.05);化疗敏感组和不敏感组差异无统计学意义(P>0.05);放疗敏感组和不敏感组比较,P≤0.05时有5个差异蛋白峰,均在放疗敏感组高表达.Biomarker Pattern软件建立的下咽癌放疗敏感性分类树预测模型,灵敏度100.00%,特异度83.33%.结论 下咽癌和正常对照比较血清中存在特异性的差异表达蛋白,下咽癌放疗敏感组患者血清中m/z为6115.75的蛋白较放疗不敏感组高表达(P<0.01).

Serum comparative proteomic analysis of hypopharyngeal squamous cell carcinoma

Objective To detect the serum proteomic patterns in hypopharyngeal squamous cell carcinoma (HPSCC) patients. Methods The study included 58 HPSCC patients and 41 normal controls. The serum samples were analyzed for protein expression using by SELDI-TOF-MS protein chip array technology and cation-exchange (CM10) Protein array. Results There were 9 peaks differentially expressed between HPSCC patients and normal controls (P<0. 05). Using tree analysis pattern, the combination of these biomarkers could discriminate HPSCC from normal controls with a total accuracy of 90. 10%. There was no statistically significant difference in serum proteins between HPSCC patients with and without cervical lympha node metastasis ( P > 0.05 ) , and the difference between well-differentiated and poorly-differentiated cancer was quite minor. There was no any statistically significant difference between chemotherapy sensitive patients and nonsensitive patients (P>0. 05) , but 5 kinds of differentially expressed protein between radiotherapy sensitive patients and nonsensitive patients (P≤0. 05). The radiotherapy sensitive patients were segregated from nonsensitive patients with a sensitivity of 100. 00% and specificity of 83. 33%. Conclusion There are 4 peaks differentially expressed between HPSCC patients and normal controls ( P < 0.01). The serum protein at the m/z value of 6115. 74 of HPSCC radiotherapy sensitive patients is expressed higher than radiotherapy nonsensitive patients (P<0.01).