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Prognostic Risk Stratification of Patients with Urothelial Carcinoma of the Bladder with Recurrence After Radical Cystectomy

膀胱切除术 医学 尿路上皮癌 比例危险模型 多元分析 膀胱癌 泌尿科 危险分层 肿瘤科 内科学 外科 癌症
作者
Tohru Nakagawa,Tomohiko Hara,Takashi Kawahara,Yoshihiko Ogata,Hiroyuki Nakanishi,Motokiyo Komiyama,Eri Arai,Yae Kanai,Hiroyuki Fujimoto
出处
期刊:The Journal of Urology [Ovid Technologies (Wolters Kluwer)]
卷期号:189 (4): 1275-1281 被引量:57
标识
DOI:10.1016/j.juro.2012.10.065
摘要

We identify clinicopathological variables predicting overall survival in patients with recurrent bladder urothelial carcinoma after radical cystectomy.We retrospectively collected data on 114 patients treated with radical cystectomy for bladder urothelial carcinoma who subsequently had remote metastasis and/or local recurrence. The Kaplan-Meier method with the log rank test and multivariate Cox regression models were used to address overall survival after recurrence.During followup 99 of the 114 patients died. Median survival in the 114 patients was 11.2 months. One and 3-year overall survival rates were 48.0% and 12.1%, respectively. On multivariate analysis independent predictors of poorer overall survival included less than 1 year to recurrence, symptoms at recurrence, 2 or more metastatic organs at recurrence, high serum C-reactive protein, high lactate dehydrogenase, no post-recurrence platinum based chemotherapy and no metastasectomy. Based on the 4 variables (time to recurrence, symptoms, number of metastatic organs and C-reactive protein), we constructed a risk model predicting post-recurrence overall survival that classified patients into 3 groups with significantly different overall survival (p <0.0001).Our data confirm that recurrent urothelial carcinoma after radical cystectomy is a highly aggressive, lethal disease. Seven clinicopathological factors were identified that predicted post-recurrence overall survival. Our risk model based on the 4 variables could be useful to provide relevant prognostic information to patients and physicians, and better stratify patients in clinical trials.

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