应用肝组织蛋白质组模式诊断乙型肝炎病毒相关性肝细胞癌的初步研究

Preliminary study on proteomic patterns in hepatic tissue to identify HBV related hepatocellular carcinoma

目的 获得能早期诊断乙型肝炎病毒(HBV)相关性肝细胞癌(HCC)的癌组织蛋白质组模式。方法 应用双向凝胶电泳(2-DE)技术获得癌组织和非癌组织蛋白质表达谱。先对14例癌组织和非癌组织蛋白质表达谱进行分析,在癌组织蛋白质表达谱中发现具有鉴别癌组织和非癌组织的蛋白质组模式,再应用该模式对48例未知的癌组织和非癌组织2-DE图谱进行检测。结果 未知的癌组织与非癌组织均得到准确鉴定,灵敏度和特异性均为100％。结论 对蛋白质组模式中的蛋白质点进一步分析有助于研究HBV相关性HCC的肿瘤标记。蛋白质组模式技术亦有望成为在高危人群和普通人群中对恶性肿瘤进行筛查的工具。

Objective To identify proteomic patterns in hepatic tissues for diagnosing early HBV related HCC. Methods Proteomic spectra were generated by two-dimensional gel electrophoresis (2-DE), A preliminary 'training' set of spectra derived from analysis of 14 cancer tissues and 14 non-cancer tissues, a proteomic patterns that completely discriminated cancer from non-cancer was identified. The discovered pattern was then used to classify an independent set of 48 masked samples: 24 from cancer tissues, and 24 from non-cancer tissues. Results The discriminatory pattern correctly identified all cancer tissues and non-cancer tissues in the masked set. This result yielded a sensitivity of 100%, specificity of 100%. Conclusions Further analysis on these proteins in the proteomic pattern will be helpful to screen tumor markers for HBV related HCC. These findings justify a prospective assessment of proteomic pattern technology as a screening tool for cancer in high-risk and general populations.