Prognostic Factors for Urachal Cancer: A Bayesian Model-Averaging Approach.
10.4111/kju.2014.55.9.574
- Author:
In Kyong KIM
1
;
Joo Yong LEE
;
Jong Kyou KWON
;
Jae Joon PARK
;
Kang Su CHO
;
Won Sik HAM
;
Sung Joon HONG
;
Seung Choul YANG
;
Young Deuk CHOI
Author Information
1. Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea. youngd74@yuhs.ac
- Publication Type:Original Article
- Keywords:
Follow-up studies;
Survival;
Urachal cancer
- MeSH:
Adult;
Bayes Theorem;
Carcinoma/*pathology/*therapy;
Disease-Free Survival;
Female;
Follow-Up Studies;
Humans;
Kaplan-Meier Estimate;
Male;
Middle Aged;
Neoplasm Staging;
Prognosis;
Proportional Hazards Models;
Risk Factors;
Treatment Outcome;
Urinary Bladder Neoplasms/*pathology/*therapy
- From:Korean Journal of Urology
2014;55(9):574-580
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: This study was conducted to evaluate prognostic factors and cancer-specific survival (CSS) in a cohort of 41 patients with urachal carcinoma by use of a Bayesian model-averaging approach. MATERIALS AND METHODS: Our cohort included 41 patients with urachal carcinoma who underwent extended partial cystectomy, total cystectomy, transurethral resection, chemotherapy, or radiotherapy at a single institute. All patients were classified by both the Sheldon and the Mayo staging systems according to histopathologic reports and preoperative radiologic findings. Kaplan-Meier survival curves and Cox proportional-hazards regression models were carried out to investigate prognostic factors, and a Bayesian model-averaging approach was performed to confirm the significance of each variable by using posterior probabilities. RESULTS: The mean age of the patients was 49.88+/-13.80 years and the male-to-female ratio was 24:17. The median follow-up was 5.42 years (interquartile range, 2.8-8.4 years). Five- and 10-year CSS rates were 55.9% and 43.4%, respectively. Lower Sheldon (p=0.004) and Mayo (p<0.001) stage, mucinous adenocarcinoma (p=0.005), and larger tumor size (p=0.023) were significant predictors of high survival probability on the basis of a log-rank test. By use of the Bayesian model-averaging approach, higher Mayo stage and larger tumor size were significant predictors of cancer-specific mortality in urachal carcinoma. CONCLUSIONS: The Mayo staging system might be more effective than the Sheldon staging system. In addition, the multivariate analyses suggested that tumor size may be a prognostic factor for urachal carcinoma.
