Nomograms to predict recurrence and survival in stage IIIB and IIIC melanoma after therapeutic lymphadenectomy

K Khosrotehrani, Stijn Ploeg, V Siskind, MC Hughes, A Wright, J Thomas, A Barbour, C Allan, G Bayley, Lex Eggermont, Kees Verhoef, BM Smithers, AC Green

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)

Abstract

Background: Current staging algorithms in melanoma patients undergoing therapeutic lymph node dissection (LND) fail to accurately distinguish long-term survivors from those at risk of rapid relapse. Our goal was to establish and validate nomograms for predicting both recurrence and survival after LND. Methods: A prospective cohort of stage IIIB and IIIC melanoma patients was ascertained from a tertiary hospital in Brisbane, Australia. Failure-time multivariate analysis identified key factors that, in adjusted combinations, generated nomograms to predict 2-year recurrence and 5-year melanoma-specific survival. The predictive value of these nomograms was further validated in a patient cohort from Rotterdam, The Netherlands. Results: In 494 Australian patients, number of positive lymph nodes, extra-capsular extension and nodular histopathological subtype were the main independent predictors of 2-year recurrence while age, number of positive nodes and extra-capsular extension were the independent predictors of survival. Predictive value was confirmed in The Netherlands cohort of 331 patients. The nomograms were able to classify patients according to their 2-year recurrence and 5-year survival rates even within each stage III sub-class. Conclusions: Models that include extra-capsular extension predict outcomes in patients with clinically involved lymph nodes. This tool may help tailor treatment and monitoring of this group of patients. (C) 2014 Elsevier Ltd. All rights reserved.
Original languageUndefined/Unknown
Pages (from-to)1301-1309
Number of pages9
JournalEuropean Journal of Cancer
Volume50
Issue number7
DOIs
Publication statusPublished - 2014

Cite this