Disease-specific survival after radical lymphadenectomy for penile cancer: Prediction by lymph node count and density

Abstract Objective To investigate the value of removed lymph node (LN) count and LN density (LND) for predicting disease-specific survival (DSS) rate following radical lymphadenectomy in patients with penile cancer. Methods We retrieved data from 146 patients who were surgically treated between 2002...

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Bibliographic Details
Published in:Urologic oncology 2014-08, Vol.32 (6), p.893-900
Main Authors: Li, Zai-shang, M.D, Yao, Kai, M.D, Chen, Peng, M.D, Zou, Zi-jun, M.D, Qin, Zi-Ke, M.D, Liu, Zhuo-Wei, M.D, Li, Yong-Hong, M.D, Zhou, Fang-Jian, M.D, Han, Hui, M.D
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Carcinoma, Squamous Cell - mortality
Carcinoma, Squamous Cell - pathology
Carcinoma, Squamous Cell - surgery
Cohort Studies
Follow-Up Studies
Humans
Kaplan-Meier Estimate
Lymph Node Excision - methods
Lymph Nodes - pathology
Lymph Nodes - surgery
Male
Middle Aged
Multivariate Analysis
Neoplasm Staging
Outcome Assessment (Health Care) - methods
Outcome Assessment (Health Care) - statistics & numerical data
Penile Neoplasms - mortality
Penile Neoplasms - pathology
Penile Neoplasms - surgery
Prognosis
Proportional Hazards Models
Survival Rate
Urology
Young Adult
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Summary:Abstract Objective To investigate the value of removed lymph node (LN) count and LN density (LND) for predicting disease-specific survival (DSS) rate following radical lymphadenectomy in patients with penile cancer. Methods We retrieved data from 146 patients who were surgically treated between 2002 and 2012. receiver-operating characteristic curve analysis was used to calculate the optimal cutoff value of LN count and LND for predicting DSS rate. LND was analyzed as a categorical variable by grouping patients with pN+tumors into 2 categories. Multivariate Cox regression analysis was used to test the effect of various variables on DSS rate based on collinearity in various models. Results Median follow-up was 42 months. Overall, 75 patients (51.4%) had pN0 disease, and 71 patients (48.6%) had pN+disease. The optimal cutoff value of LN count and LND were 16% and 16%, respectively. Among patients with pN0 tumors, the number of LNs removed (≥16 LNs) was an independent significant predictor of DSS rate in univariate and multivariate analyses (all P
ISSN:1078-1439
1873-2496
DOI:10.1016/j.urolonc.2013.11.008