Project/Area Number |
26462403
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Urology
|
Research Institution | Tokyo Medical and Dental University |
Principal Investigator |
Fujii Yasuhisa 東京医科歯科大学, 大学院医歯学総合研究科, 教授 (70282754)
|
Co-Investigator(Kenkyū-buntansha) |
齋藤 一隆 (斎藤 一隆) 東京医科歯科大学, 大学院医歯学総合研究科, 准教授 (10422495)
木原 和徳 東京医科歯科大学, 大学院医歯学総合研究科, 特任教授 (40161541)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
Keywords | 膀胱癌 / 進展 / 再発 / 部位 / 膀胱頸部 / 筋層非浸潤膀胱癌 / 筋層非浸潤性膀胱癌 |
Outline of Final Research Achievements |
We previously reported that bladder neck involvement (BNI) was an independent risk factor for progression as well as histological Grade 3 and T1 tumors in primary non-muscle-invasive bladder cancer (NMIBC) using single-center retrospective and prospective cohorts, and developed a new predictive scoring model for progression incorporating BNI. Here, we externally validated the impact of BNI on progression using a large multicenter cohort of primary NMIBC (N=1242). The predictive ability of our model was similar to those of EORTC and CUETO models. Then, using a single-center cohort, we have shown that current and prior history of bladder neck involvement is a significant risk factor for recurrence in NMIBC patients. We developed another predictive scoring model for recurrence incorporating BNI. The predictive ability of our model were superior to those of EORTC and CUETO models. Our scoring models including BNI are simple and might be a useful tool to predict recurrence and progression.
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