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Risk stratification of survival by lymphovascular invasion, pathological stage, and surgical margin in patients with bladder cancer treated with radical cystectomy.

Authors :
Gondo T
Nakashima J
Ozu C
Ohno Y
Horiguchi Y
Namiki K
Yoshioka K
Ohori M
Hatano T
Tachibana M
Source :
International journal of clinical oncology [Int J Clin Oncol] 2012 Oct; Vol. 17 (5), pp. 456-61. Date of Electronic Publication: 2011 Sep 07.
Publication Year :
2012

Abstract

Background: The aim of this study was to investigate prognostic factors and develop a prognostic factor-based risk stratification model for disease-specific survival (DSS) in a radical cystectomy (RC) series.<br />Methods: The patient cohort comprised 194 consecutive patients with bladder cancer treated with RC. Univariate and multivariate Cox proportional hazard model analyses were performed to identify significant prognostic factors for DSS. A risk stratification model was developed based on the relative risks (RRs) of DSS.<br />Results: Median follow-up period was 26.8 months. The 1-, 3-, and 5-year DSS were 88.0, 74.0, and 64.9%, respectively. In the univariate analysis, pathological T (pT) (≥ pT2), lymphovascular invasion (LVI), non-urothelial carcinoma component, surgical margin (SM), and lymph node metastases (pN) were significantly associated with poor prognosis. In the multivariate analysis, pT (≥ pT2), LVI, and SM were independent factors for predicting poor prognosis. Based on these results, patients were stratified into three risk groups: low (RR = 1.00-3.626), intermediate (5.860-9.826), and high (21.24). The 1-, 3-, and 5-year survival rates were 96.9, 85.1, and 85.1% in the low-risk group, 83.0, 63.4, and 43.8% in the intermediate group, and 51.0, 19.4, and 19.4% in the high-risk group, respectively. The differences among these groups were significant.<br />Conclusions: In our RC series, pT (≥ pT2), LVI, and SM were independent prognostic factors. This information may be useful to identify patients with poor prognosis, who might be good candidates for innovative treatment.

Details

Language :
English
ISSN :
1437-7772
Volume :
17
Issue :
5
Database :
MEDLINE
Journal :
International journal of clinical oncology
Publication Type :
Academic Journal
Accession number :
21898180
Full Text :
https://doi.org/10.1007/s10147-011-0310-7