Project/Area Number |
19390326
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Radiation science
|
Research Institution | Kansai Medical University |
Principal Investigator |
ARIMA Yoko Kansai Medical University, 医学部, 准教授 (80140276)
|
Co-Investigator(Kenkyū-buntansha) |
TERASHIMA Hiromi 九州大学, 医学部, 教授 (40140917)
IMADA Hajime 産業医科大学, 医学部, 准教授 (50223326)
HIRAKI Yoshiyuki 鹿児島大学, 医学部, 講師 (90264423)
KAMATA Minoru 関西医科大学, 医学部, 助教 (00305195)
|
Co-Investigator(Renkei-kenkyūsha) |
HIRAKI Yoshiyuki 鹿児島大学, 医学部, 講師 (90264423)
KAMATA Minoru 関西医科大学, 医学部, 助教 (00305195)
|
Project Period (FY) |
2007 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2009: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2008: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2007: ¥6,890,000 (Direct Cost: ¥5,300,000、Indirect Cost: ¥1,590,000)
|
Keywords | 子宮頸癌 / 放射線 / 治療効果予測 / バイオマーカー / アポリポ蛋白C-II / Apolipoprotein C-II / 蛋白 |
Research Abstract |
To determine the pretreatment serum protein level as a generally applicable measurement in predicting the radiation treatment effect of patients with cervical carcinoma (CC), we identified Apolipoprotein C-II (ApoC-II). Next, we have made Elisa-Kit by the monoclonal antibody of ApoC-II. And then we analyzed ApoC-II serum protein level of 65 examples with CC and correlation with cause-specific survival rate by Cox proportional-hazard model analysis. On univariate and multivariate analysis, ApoC-II was a significant independent predictor of poor cause-specific survival rate (p=0.01, p=0.02). The specificity and sensitivity of ApoC-II levels were 97.9% and 44.4%, respectively, as determined using ROC curves. ApoC-II could be used as a biomarker for detection in predicting the radiation treatment effect of patients with CC.
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