| Project/Area Number |
23590812
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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 |
Public health/Health science
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| Research Institution | International University of Health and Welfare |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
NAKASHIMA Jun 東京医科大学, 医学部, 教授 (10167546)
MIZUNO Ryuichi 慶應義塾大学, 医学部, 講師 (60383824)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 前立腺癌 / スクリーニング / ノモグラム / バイオマーカー / PCA-3 スコア / 前立腺がん / 腫瘍マーカー / 予測因子 / 臨床的重要がん |
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| Outline of Final Research Achievements |
In this study, we investigated that PCA3 score and other parameter can predict ‘significant carcinoma’ in biopsy specimen. According to Receiver operating characteristics (ROC) analysis, PCA3 score had the greater AUC for predicting all prostate all cancer as well as positive core more than 2. However, ROC predicting significant cancer showed PCA3 score showed less AUC than PSA free/total ratio. A stepwise multivariate logistic regression analysis revealed that both PSA F/T and PCA3 score were the independent significant predictors of significant cancers. Using these two factors, a nomogram was developed to predict significant cancers in biopsy. In ROC analysis, the value of nomogram showed a greater AUC than any other single factors.
Because PSA F/T ratio and PCA3 sore were measured easily from the patient’s sample, this nomogram seems to be useful for men with moderately elevated PSA to introduce more precise clinical management plans.
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