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Authors Abudurexiti M, Wang J, Shao N, Wan FN, Zhu Y, Dai B, Ye D
Received 16 August 2018
Accepted for publication 13 November 2018
Published 7 December 2018 Volume 2018:10 Pages 6815—6822
DOI https://doi.org/10.2147/CMAR.S184197
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 3
Editor who approved publication: Professor Kenan Onel
Purpose: Urethral
carcinoma (UC), as a rare tumor, is not widely studied. There have been no
systematic studies of rare pathological types of UC. We conducted this study to
further investigate rare pathological types of primary urethral carcinoma
(PUC).
Materials and methods: We used
the population-based Surveillance, Epidemiology, and End Results (SEER)
database to evaluate prognostic factors in rare pathological types of PUC. From
1978 to 2015, 2,651 and 257 cases were identified in the SEER database as
common and rare pathological types of PUC, respectively. Overall and
cancer-specific survival (CSS) times were computed using the Kaplan–Meier
method, and the Cox proportional hazards analysis was used to evaluate patient
age at diagnosis, gender, race, and TNM stage.
Results: The
median overall survival (OS) rates were 36 and 59 months for rare and common
pathological groups, respectively, and their respective 10-year OS rates were
31.9% and 42.4%, respectively. The median CSS rate was 61 months for the rare
pathological group. Through multivariate analysis, it was found that age, race,
T stage, and M stage were independent prognostic risk factors for rare
pathological type of urethral cancer. In the age group, the HR ratio of
patients aged older than 60 years and younger or equal to 60 years was 2.778 (P <0.001). The HR
ratio of other races to Whites was 1.444 (P =0.040). In TNM staging, the HR ratio between T3–T4
and Ta–T2 was 2.386 (P =0.046), and the HR value of M1 and M0 was 5.847 (P <0.001).
Conclusion: Age, race, T
stage, and M stage were predictive of OS and CSS in rare pathological PUC.
Keywords: urethral
cancer, SEER, age, race, TNM
