| Project/Area Number |
26670580
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
General surgery
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| Research Institution | Kyoto University |
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Principal Investigator |
TAKEUCHI Megumi 京都大学, 医学(系)研究科(研究院), 助教 (90420398)
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| Co-Investigator(Kenkyū-buntansha) |
TOI Masakazu 京都大学, 大学院医学研究科, 教授 (10207516)
TAKADA Masahiro 京都大学, 大学院医学研究科, 助教 (50452363)
SATO Norio 京都大学, 大学院医学研究科, 講師 (30409205)
HIRAKAWA Keiko 日本医科大学, 医学部, 助教 (30165162)
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| Project Period (FY) |
2014-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
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| Keywords | 乳がん / ＮＭＲ測定 / 核磁気共鳴法 / パターン認識 / スクリーニング |
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| Outline of Final Research Achievements |
Early diagnosis for the breast cancer and multidisciplinary treatment are important to decrease in mortality. Image examination is useful for early detection of them, but it has a burden for patients. If we will detect early breast cancer by a blood test, the examined rate of the breast and detected rate of early breast cancer will be increased, and the effect of treatment will be improving.
"The serum samples were measured with Nuclear Magnetic Resonance (NMR), and analyzed the data by pattern recognition" is new method with blood test. And we try to detect early breast cancer with this method. We measured the serum samples of two groups with NMR, and tried to discriminate the NMR data between “patients of breast cancer” and “healthy control group”. The data were visualized by principal component analysis, and then analyzed with Partial Least Squares Discriminant Analysis (PLS-DA). We could see the tendency to separate by clustering those data of two groups in the PLS-DA analysis.
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