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Prognostic Factors for Urachal Cancer: A Bayesian Model-Averaging Approach

Authors
 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 
Citation
 KOREAN JOURNAL OF UROLOGY, Vol.55(9) : 574-580, 2014 
Journal Title
 KOREAN JOURNAL OF UROLOGY 
ISSN
 2005-6737 
Issue Date
2014
MeSH
Adult ; Bayes Theorem ; Carcinoma/pathology* ; Carcinoma/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* ; Urinary Bladder Neoplasms/therapy*
Keywords
Follow-up studies ; Survival ; Urachal cancer
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.
Files in This Item:
T201403024.pdf Download
DOI
10.4111/kju.2014.55.9.574
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
7. Others (기타) > Dept. of Health Promotion (건강의학과) > 1. Journal Papers
Yonsei Authors
Kwon, Jong Kyou(권종규)
Yang, Seung Choul(양승철)
Lee, Joo Yong(이주용) ORCID logo https://orcid.org/0000-0002-3470-1767
Cho, Kang Su(조강수) ORCID logo https://orcid.org/0000-0002-3500-8833
Choi, Young Deuk(최영득) ORCID logo https://orcid.org/0000-0002-8545-5797
Ham, Won Sik(함원식) ORCID logo https://orcid.org/0000-0003-2246-8838
Hong, Sung Joon(홍성준) ORCID logo https://orcid.org/0000-0001-9869-065X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/99680
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