Literature DB >> 24994488

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

Zai-shang Li1, Kai Yao1, Peng Chen2, Zi-jun Zou1, Zi-Ke Qin1, Zhuo-Wei Liu1, Yong-Hong Li1, Fang-Jian Zhou1, Hui Han3.   

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<0.05). Stratifying pN+ patients as above versus below the LND threshold demonstrated significant differences in 5-year DSS: 81.2% versus 24.4% (P < 0.001). In multivariate models including known prognostic factors, LND was a statistically significant independent predictor of DSS rate (hazard ratio = 4.31 and 3.96 for above vs. below the LND threshold, respectively).
CONCLUSIONS: The removal of at least 16 LNs was associated with a significantly longer DSS rate in patients with pN0 penile cancer. Additionally, an LND above 16% is an independent predictor of DSS rate in patients with pN+tumors. Further independent validation is required to determine the clinical usefulness of LN count and LND in this patient population.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Lymph node excision; Lymph nodes; Penile neoplasms; Penis; Prognosis

Mesh:

Year:  2014        PMID: 24994488     DOI: 10.1016/j.urolonc.2013.11.008

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  13 in total

Review 1.  Contemporary management of patients with penile cancer and lymph node metastasis.

Authors:  Andrew Leone; Gregory J Diorio; Curtis Pettaway; Viraj Master; Philippe E Spiess
Journal:  Nat Rev Urol       Date:  2017-04-11       Impact factor: 14.432

2.  Prognostic factors in patients with penile cancer after surgical management.

Authors:  Shuguang Wen; Wenbiao Ren; Bichen Xue; Yi Fan; Yongjun Jiang; Chunming Zeng; Yujia Li; Xiongbing Zu
Journal:  World J Urol       Date:  2018-01-03       Impact factor: 4.226

Review 3.  Immune-based therapies in penile cancer.

Authors:  Vidhu B Joshi; Philippe E Spiess; Andrea Necchi; Curtis A Pettaway; Jad Chahoud
Journal:  Nat Rev Urol       Date:  2022-07-18       Impact factor: 16.430

Review 4.  What Is New in the Diagnosis and Management of Penile Cancer?

Authors:  Pal Mahendra; Bakshi Ganesh; Prakash Gagan; Mahajan Vidisha
Journal:  Indian J Surg Oncol       Date:  2017-02-27

5.  Modification of N staging systems for penile cancer: a more precise prediction of prognosis.

Authors:  Z-S Li; K Yao; P Chen; B Wang; J-P Chen; Q-W Mi; Y-H Li; Z-W Liu; Z-K Qin; F-J Zhou; H Han
Journal:  Br J Cancer       Date:  2015-05-05       Impact factor: 7.640

6.  Development of a new outcome prediction model for Chinese patients with penile squamous cell carcinoma based on preoperative serum C-reactive protein, body mass index, and standard pathological risk factors: the TNCB score group system.

Authors:  Zai-Shang Li; Peng Chen; Kai Yao; Bin Wang; Jing Li; Qi-Wu Mi; Xiao-Feng Chen; Qi Zhao; Yong-Hong Li; Jie-Ping Chen; Chuang-Zhong Deng; Yun-Lin Ye; Ming-Zhu Zhong; Zhuo-Wei Liu; Zi-Ke Qin; Xiang-Tian Lin; Wei-Cong Liang; Hui Han; Fang-Jian Zhou
Journal:  Oncotarget       Date:  2016-04-12

7.  Development of a New Classification Method for Penile Squamous Cell Carcinoma Based on Lymph Node Density and Standard Pathological Risk Factors: The ND Staging System.

Authors:  Zai-Shang Li; Kai Yao; Peng Chen; Bin Wang; Qi-Wu Mi; Jie-Ping Chen; Yong-Hong Li; Chuang-Zhong Deng; Zhuo-Wei Liu; Zi-Ke Qin; Fang-Jian Zhou; Hui Han
Journal:  J Cancer       Date:  2016-01-05       Impact factor: 4.207

8.  Lymph node density predicts recurrence and death after inguinal lymph node dissection for penile cancer.

Authors:  Mark W Ball; Zeyad R Schwen; Joan S Ko; Alexa Meyer; George J Netto; Arthur L Burnett; Trinity J Bivalacqua
Journal:  Investig Clin Urol       Date:  2017-01-04

9.  Impact of Examined Lymph Node Count and Lymph Node Density on Overall Survival of Penile Cancer.

Authors:  Pan Gao; Tianle Zhu; Jingjing Gao; Hu Li; Xi Liu; Xiansheng Zhang
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

10.  Nomogram prediction of overall survival based on log odds of positive lymph nodes for patients with penile squamous cell carcinoma.

Authors:  Wenwen Zheng; Kangqi Li; Weiwei Zhu; Yuexia Ding; Qingna Wu; Qiling Tang; Congxiao Lu; Quan Zhao; Shengqiang Yu; Chenyu Guo
Journal:  Cancer Med       Date:  2020-06-10       Impact factor: 4.452

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.