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1. 发明申请

WO2007055275B1 METHOD OF ESTIMATING DEVELOPMENT OF HEPATITIS C VIRUS-RELATED HEPATOCELLULAR CANCER IN FUTURE, DECISION TREE TO BE USED IN THE METHOD AND METHOD OF CONSTRUCTING THE DECISION TREE 审中-公开
标题翻译：判断未来丙型肝炎病毒相关性肝癌发展的方法，决策树用于构建决策树的方法和方法
公开(公告)号：WO2007055275B1
公开(公告)日：2007-07-19
申请号：PCT/JP2006322368
申请日：2006-11-09
申请人： JAPAN SCIENCE & TECH AGENCY , UNIV MIYAZAKI , TSUBOUCHI HIROHITO , UTO HIROFUMI , KANMURA SYUJI
发明人： TSUBOUCHI HIROHITO , UTO HIROFUMI , KANMURA SYUJI
IPC分类号： G01N33/574 , G01N27/62 , G01N33/483 , G01N33/53
CPC分类号： G01N33/5767 , G01N33/57438
摘要： It is intended to provide a method whereby the development of HCV-related hepatocellular cancer can be estimated in the early stage at a high accuracy by using the decision tree technique before the clinical diagnosis of the development of hepatocellular cancer. The serum of a patient carrying hepatitis C virus whose conditions have already advanced into chronic hepatitis or hepatitis cirrhosis and the serum of a hepatocellular cancer patient are subjected to a protein expression analysis by using the SELDI protein chip system. Based on the results of the analysis, a decision tree for diagnosing hepatitis C virus-related hepatocellular cancer is constructed using a multivariate analysis software. When the effectiveness of this decision tree is examined with the use of the known sera of chronic hepatitis, hepatitis cirrhosis and hepatocellular cancer patients, the sensitivity and specificity between a hepatocellular cancer group and a non-hepatocellular cancer group are respectively 82% and 81%. When the sera of seven patients clinically diagnosed as suffering from hepatocellular cancer that have been stored for 1 year are examined by using this decision tree, six cases are decided as hepatocellular cancer. Thus, this decision tree is useful in the early diagnosis of hepatitis C virus-related hepatocellular cancer.
摘要翻译：旨在提供一种方法，通过在肝细胞癌发展的临床诊断之前使用决策树技术，可以在早期高准确度地评估HCV相关肝细胞癌的发展。携带已经进展为慢性肝炎或肝炎肝硬化的丙型肝炎病毒的患者的血清和肝细胞癌患者的血清通过使用SELDI蛋白质芯片系统进行蛋白质表达分析。基于分析结果，使用多变量分析软件构建用于诊断丙型肝炎病毒相关性肝细胞癌的决策树。当使用已知的慢性肝炎，肝炎肝硬化和肝细胞癌患者的血清检查该决策树的有效性时，肝细胞癌组和非肝细胞癌组之间的敏感性和特异性分别为82％和81％。当使用该决策树检查临床诊断为患有1年的肝细胞癌的7名患者的血清时，将6例确定为肝细胞癌。因此，该决策树可用于丙型肝炎病毒相关肝细胞癌的早期诊断。

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