医学
膀胱癌
期限(时间)
尿路上皮癌
泌尿科
癌症
内科学
外科
肿瘤科
量子力学
物理
作者
D. Büchser,A. Zapatero,Jacobo Rogado,M.S. Talaya,C. Martín de Vidales,R. Arellano,Gloria Bocardo,A. Cruz Conde,Leopoldo Pérez,María Murillo
出处
期刊:Urology
[Elsevier]
日期:2019-02-01
卷期号:124: 183-190
被引量:17
标识
DOI:10.1016/j.urology.2018.07.058
摘要
To report long-term results on survival, toxicity, and patterns of failure of 3 different organ-sparing strategies for patients with muscle invasive bladder cancer.This is a monoinstitutional prospective analysis of 3 consecutive bladder-sparing protocols combining maximal transurethral resection of bladder tumor (mTURBT), radiotherapy (RT), and cisplatin-based chemotherapy. Protocol 1 consisted of neoadjuvant methotrexate-cisplatin-vinblastine followed by endoscopic re-evaluation and consolidative RT 60 Gy in complete responders. Protocol 2 involved altered-fractionation RT 64.8 Gy and concurrent weekly cisplatin with re-evaluation after 40.8 Gy. Protocol 3 consisted of RT 64.8 Gy with concomitant weekly cisplatin. Nonresponders underwent radical cystectomy. Probabilities for overall survival (OS), cancer-specific survival (CSS), and metastasis-free survival (MFS) were calculated using Kaplan-Meier product limited estimates. A Cox regression multivariate analysis was performed to detect potential risk factors for OS, CSS, and MFS.The 10-year bladder preservation rate was 79%. The 10-year OS, CSS, and MFS rates were 43.2%, 76.3% and 79.2%, respectively. There was no statistically significant difference in OS between the different treatment protocols. On multivariate analysis, mTURBT of the bladder and the complete response after induction therapy were independent correlates of improved OS and of MFS. The development of invasive bladder recurrence was independently associated with worse CSS and MFS.Ten-year results indicate that bladder-sparing treatment is a successful approach for muscle invasive bladder cancer in selected patients. The mTURBT of the bladder tumor and complete response after induction therapy remain the most relevant predictive factors.
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