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A risk calculator predicting recurrence in lymph node metastatic penile cancer

Authors :
Oliver W. Hakenberg
Yao Zhu
Alberto Briganti
Filippo Pederzoli
Dingwei Ye
Hielke M. de Vries
Axel Heidenreich
Mohamed E. Ahmed
Maarten Albersen
Juan Chipollini
Roberto Salvioni
Mario Catanzaro
Antonio Augusto Ornellas
Laura Marandino
Jeffrey Karnes
Philippe E. Spiess
Eduard Roussel
Andrea Necchi
Francesco Montorsi
Oscar R. Brouwer
Nick Watkin
Marco Bandini
Mounsif Azizi
Friederike Haidl
Michael Ager
Source :
BJU International. 126:577-585
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Objectives To develop and externally validate a risk calculator for prediction of any cancer recurrence in patients with penile squamous cell carcinoma (pSCC) and inguinal lymph node metastases (ILNM), as to date no validated prognostic tool is available for patients with pSCC and ILNM. Patients and methods The development cohort included 234 patients from seven referral centres. The external validation cohort included 273 patients from two additional referral centres. Cox regression identified predictors of any recurrence, which were used to develop a risk calculator. The risk-calculator grouped the development and the validation cohorts according to the individual risk of any recurrence at 24 months (24m-R). Adjuvant treatment effects were tested on overall survival (OS) according to the derived tertiles, within the development and validation cohorts. Results Positive surgical margins, pN3 , and ILNM ratio were associated with higher recurrence rate. The 2-year OS rates were lower for patients with high (>37%) and intermediate (19-37%) compared to low ( 0.1). Conclusion Adjuvant treatment planning is crucial in patients with pSCC with ILNM, where only weak evidence is available. The current tool proved to successfully stratify patients according to their individual risk, potentially allowing better tailoring of adjuvant treatments.

Details

ISSN :
14644096
Volume :
126
Database :
OpenAIRE
Journal :
BJU International
Accession number :
edsair.doi...........82a81ac2f9d81d083cc18be847050ac6