Author:
Tropea Saveria,Del Fiore Paolo,Maurichi Andrea,Patuzzo Roberto,Santinami Mario,Ribero Simone,Quaglino Pietro,Caliendo Virginia,Borgognoni Lorenzo,Sestini Serena,Giudice Giuseppe,Nacchiero Eleonora,Caracò Corrado,Cordova Adriana,Solari Nicola,Piazzalunga Dario,Tauceri Francesca,Carcoforo Paolo,Lombardo Maurizio,Cavallari Sara,Mocellin Simone,Cespa Maddalena,Forcignanò Rosachiara,Moise Gianmichele,Fargnoli Maria Concetta,Ferreli Caterina,Grimaldi Maria,Zannetti Guido,Cinieri Saverio,Trevisan Giusto,Stanganelli Ignazio,Moretti Giovanna,Bruder Francesca,Bianchi Luca,Fierro Maria Teresa,Mascheroni Luigi,Asero Salvatore,Catricalà Caterina,Staibano Stefania,Rinaldi Gaetana,Pellicano Riccardo,Milesi Laura,Visini Marilena,Di Filippo Franco,Zichichi Leonardo,Pizzichetta Maria Antonietta,Iacono Carmelo,Guidoboni Massimo,Sanna Giovanni,Maio Michele,Del Vecchio Michele,Lospalluti Lucia,Vita Leonardi,Pollio Annamaria,Riberti Carlo,
Abstract
Abstract
Background
The management of melanoma patients with metastatic melanoma in the sentinel nodes (SN) is evolving based on the results of trials questioning the impact of completion lymph node dissection (CLND) and demonstrating the efficacy of new adjuvant treatments. In this landscape, new prognostic tools for fine risk stratification are eagerly sought to optimize the therapeutic path of these patients.
Methods
A retrospective cohort of 2,086 patients treated with CLND after a positive SN biopsy in thirteen Italian Melanoma Centers was reviewed. Overall survival (OS) was the outcome of interest; included independent variables were the following: age, gender, primary melanoma site, Breslow thickness, ulceration, sentinel node tumor burden (SNTB), number of positive SN, non-sentinel lymph nodes (NSN) status. Univariate and multivariate survival analyses were performed using the Cox proportional hazard regression model.
Results
The 3-year, 5-year and 10-year OS rates were 79%, 70% and 54%, respectively. At univariate analysis, all variables, except for primary melanoma body site, were found to be statistically significant prognostic factors. Multivariate Cox regression analysis indicated that older age (P < 0.0001), male gender (P = 0.04), increasing Breslow thickness (P < 0.0001), presence of ulceration (P = 0.004), SNTB size (P < 0.0001) and metastatic NSN (P < 0.0001) were independent negative predictors of OS.
Conclusion
The above results were utilized to build a nomogram in order to ease the practical implementation of our prognostic model, which might improve treatment personalization.
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Genetics,Oncology