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Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival
OBJECTIVES: Primary urethral carcinoma (PUC) is rare, accounting for <1% of genitourinary malignancies. Current knowledge regarding is founded upon tertiary care centers reporting their experiences. We aim to identify factors predictive of outcomes using a nationwide registry database. MATERIALS...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907326/ https://www.ncbi.nlm.nih.gov/pubmed/29719329 http://dx.doi.org/10.4103/UA.UA_136_17 |
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author | Aleksic, Ilija Rais-Bahrami, Soroush Daugherty, Michael Agarwal, Piyush K. Vourganti, Srinivas Bratslavsky, Gennady |
author_facet | Aleksic, Ilija Rais-Bahrami, Soroush Daugherty, Michael Agarwal, Piyush K. Vourganti, Srinivas Bratslavsky, Gennady |
author_sort | Aleksic, Ilija |
collection | PubMed |
description | OBJECTIVES: Primary urethral carcinoma (PUC) is rare, accounting for <1% of genitourinary malignancies. Current knowledge regarding is founded upon tertiary care centers reporting their experiences. We aim to identify factors predictive of outcomes using a nationwide registry database. MATERIALS AND METHODS: The Surveillance, Epidemiology, and End Results-18 registries database was queried for cases of PUC ranging between 2004 and 2010. To identify PUC cases, ICD-O site code C68.0 was used as a filter, hence identifying PUC with histologic subtypes including urothelial carcinoma (UC), squamous cell carcinoma (SCC), and adenocarcinoma (AC). Tumor characteristics were compared using log-rank analysis, and survival outcomes were compared using Cox proportional hazards models. RESULTS: A total of 419 PUC cases were identified, 250 (59.7%) male and 169 (40.3%) female patients. The most common histology in men was UC (134, 53.6%), followed by SCC (87, 34.8%) and AC (29, 11.6%). The most common histology in women was AC (79, 46.7%), followed by SCC (43, 25.4%) and UC (42, 24.9%). Log-rank analysis illustrated significant difference in cancer-specific survival (CSS) for T-stage, N-stage, M-stage, and stage of PUC with all histological variants combined (P < 0.001). Multivariate Cox proportional hazards model demonstrated that stage and age were significant for survival, with a risk ratio of 1.033 (95% confidence interval [CI], 1.020–1.046)/year of increased age (P < 0.001) and 3.71 (95% CI, 2.72–5.05) for patients with regional or distant spread. CONCLUSIONS: Knowledge of patient and tumor characteristics that influences survival is paramount in dictating management. The present study illustrates that age and stage are factors significantly associated with CSS in PUC. |
format | Online Article Text |
id | pubmed-5907326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-59073262018-05-01 Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival Aleksic, Ilija Rais-Bahrami, Soroush Daugherty, Michael Agarwal, Piyush K. Vourganti, Srinivas Bratslavsky, Gennady Urol Ann Original Article OBJECTIVES: Primary urethral carcinoma (PUC) is rare, accounting for <1% of genitourinary malignancies. Current knowledge regarding is founded upon tertiary care centers reporting their experiences. We aim to identify factors predictive of outcomes using a nationwide registry database. MATERIALS AND METHODS: The Surveillance, Epidemiology, and End Results-18 registries database was queried for cases of PUC ranging between 2004 and 2010. To identify PUC cases, ICD-O site code C68.0 was used as a filter, hence identifying PUC with histologic subtypes including urothelial carcinoma (UC), squamous cell carcinoma (SCC), and adenocarcinoma (AC). Tumor characteristics were compared using log-rank analysis, and survival outcomes were compared using Cox proportional hazards models. RESULTS: A total of 419 PUC cases were identified, 250 (59.7%) male and 169 (40.3%) female patients. The most common histology in men was UC (134, 53.6%), followed by SCC (87, 34.8%) and AC (29, 11.6%). The most common histology in women was AC (79, 46.7%), followed by SCC (43, 25.4%) and UC (42, 24.9%). Log-rank analysis illustrated significant difference in cancer-specific survival (CSS) for T-stage, N-stage, M-stage, and stage of PUC with all histological variants combined (P < 0.001). Multivariate Cox proportional hazards model demonstrated that stage and age were significant for survival, with a risk ratio of 1.033 (95% confidence interval [CI], 1.020–1.046)/year of increased age (P < 0.001) and 3.71 (95% CI, 2.72–5.05) for patients with regional or distant spread. CONCLUSIONS: Knowledge of patient and tumor characteristics that influences survival is paramount in dictating management. The present study illustrates that age and stage are factors significantly associated with CSS in PUC. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC5907326/ /pubmed/29719329 http://dx.doi.org/10.4103/UA.UA_136_17 Text en Copyright: © 2018 Urology Annals http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Aleksic, Ilija Rais-Bahrami, Soroush Daugherty, Michael Agarwal, Piyush K. Vourganti, Srinivas Bratslavsky, Gennady Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival |
title | Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival |
title_full | Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival |
title_fullStr | Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival |
title_full_unstemmed | Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival |
title_short | Primary urethral carcinoma: A Surveillance, Epidemiology, and End Results data analysis identifying predictors of cancer-specific survival |
title_sort | primary urethral carcinoma: a surveillance, epidemiology, and end results data analysis identifying predictors of cancer-specific survival |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907326/ https://www.ncbi.nlm.nih.gov/pubmed/29719329 http://dx.doi.org/10.4103/UA.UA_136_17 |
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