Pattern recognition in serum to diagnose ovarian cancer in a Japanese sample set
| Project/Area Number |
20591964
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Obstetrics and gynecology
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| Research Institution | Jikei University School of Medicine |
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Principal Investigator |
YAMADA Kyousuke Jikei University School of Medicine, 医学部, 准教授 (30230452)
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| Co-Investigator(Kenkyū-buntansha) |
TANAKA Tadao 東京慈恵会医科大学, 医学部, 教授 (50110929)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 卵巣癌 / プロテオミクス解析 |
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| Research Abstract |
This small proof of principle study demonstrates that there are profiles in the serum of Japanese ovarian cancer patients that can classify the presence of cancer. The information is similar to that in USA ovarian cancer sera since N-dimensional clusters built on USA sera spectra created cluster maps predictive of the Japanese samples. Performance of the model was better than any of the existing single biomarker assays although truly useful models await a much larger sample size and the use of independent validation sample sets to demonstrate the robustness of the models. These results encourage us to initiate a large scale, multi-site collection of serum from Japanese ovarian cancer samples patients, for the development of a Japanese ovarian cancer serum profile assay.
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Report
(4 results)
Research Products
(21 results)
