[用于识别乙肝病毒相关肝细胞癌的肝组织蛋白质组学模式的初步研究]
[Preliminary study on proteomic patterns in hepatic tissue to identify HBV related hepatocellular carcinoma].
作者信息
Long Yun-zhu, Fan Xue-gong, Li Ning, Huang Yu-kun
机构信息
Department of Infectious Diseases, XiangYa Hospital, Central South University, Changsha 410008, China.
出版信息
Zhonghua Gan Zang Bing Za Zhi. 2004 Apr;12(4):231-3.
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 "raining" 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%.
CONCLUSION
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.
目的
识别肝组织中的蛋白质组学模式以诊断早期乙肝相关肝癌。
方法
通过二维凝胶电泳（2-DE）生成蛋白质组学图谱，从对14个癌组织和14个非癌组织的分析中获得一组初步的“训练”图谱，识别出一种能完全区分癌组织和非癌组织的蛋白质组学模式。然后用发现的模式对48个被遮蔽样本的独立集合进行分类：24个来自癌组织，24个来自非癌组织。
结果
鉴别模式正确识别出了被遮蔽集合中的所有癌组织和非癌组织。这一结果的灵敏度为100%，特异性为100%。
结论
对蛋白质组学模式中的这些蛋白质进行进一步分析将有助于筛选乙肝相关肝癌的肿瘤标志物。这些发现证明对蛋白质组学模式技术作为高危人群和普通人群癌症筛查工具进行前瞻性评估是合理的。
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