Prognostic factors for urachal cancer: A bayesian model-averaging approach

In Kyong Kim, Joo Yong Lee, Jong Kyou Kwon, Jae Joon Park, Kang Su Cho, Won Sik Ham, Sung Joon Hong, Seung Choul Yang, Young Deuk Choi

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16 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)574-580
Number of pages7
JournalKorean Journal of Urology
Volume55
Issue number9
DOIs
Publication statusPublished - 2014 Sep 1

All Science Journal Classification (ASJC) codes

  • Urology

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    Kim, I. K., Lee, J. Y., Kwon, J. K., Park, J. J., Cho, K. S., Ham, W. S., Hong, S. J., Yang, S. C., & Choi, Y. D. (2014). Prognostic factors for urachal cancer: A bayesian model-averaging approach. Korean Journal of Urology, 55(9), 574-580. https://doi.org/10.4111/kju.2014.55.9.574