| Project/Area Number |
24500206
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Yamaguchi University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
IIZUKA Norio 山口大学, 医学部付属病院, 准教授 (80332807)
FUJITA Yusuke 山口大学, 大学院医学系研究科, 准教授 (40509527)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 癌 / パターン認識 / 診断 |
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| Outline of Final Research Achievements |
The purpose of this study is to develop a novel blood test system for predicting the recurrence of hepatocellular carcinoma (HCC) associated with hepatitics C virus (HCV) infection. In order to develop the test system, we established the combination of genomic data and clinical data, and the design of a novel Boolean classifier for binary patterns. We used 40 training samples and 33 test samples, who underwent complete surgical resection of HCC. Regarding features used for a classifier, 2 methylated genes (SPINT2 and SRD5A2), traditional tumor maker AFP and PIVKA were used. We developed the blood test system with use of the Boolean classifier for predicting the recurrence of HCC, which achieved high abilities (sensitivity of 64%, specificity of 65% and Youden-index of 0.29) for 33 test samples. This suggests that the proposed method might lead to clinical applications.
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