| Project/Area Number |
24592531
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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 |
Obstetrics and gynecology
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| Research Institution | Keio University |
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Principal Investigator |
KATAOKA Fumio 慶應義塾大学, 医学部, 助教 (40306824)
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| Co-Investigator(Kenkyū-buntansha) |
TSUDA Hiroshi 慶應義塾大学, 医学部, 講師 (00434880)
津田 浩史 慶應義塾大学, 医学部, 講師 (00423880)
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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: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 子宮体癌 / マイクロアレイ解析 / 再発予測 / 遊離DNA |
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| Outline of Final Research Achievements |
We analyzed the relationship between the expression profile pattern and prognosis of endometrial cancer, simultaneously in both cancer cells and associated stroma. We established a formula based on the gene expression profile of cancer and stroma to predict the recurrence using a logistic regression model. We estimated the accuracy of the formula using the 0.632 method. The estimated areas under the curve (AUC) of ROC in cancer and stroma, which were used to predict recurrence, were 0.800 and 0.758, respectively. The moderate accuracies to predict recurrence were achieved by the formula based on the gene expression profile of cancer and stroma. The established formula may predict the risk of recurrence more efficiently than conventional pathological diagnosis.
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