CC BY-NC-ND 4.0 · Laryngorhinootologie 2018; 97(S 02): S122
DOI: 10.1055/s-0038-1640133
Abstracts
Onkologie: Oncology

Primary Head and Neck Mucosal Melanoma: Predictors of Survival and a Case Series on Sentinel Node Biopsy

T Prinzen
1   Uniklinik Düsseldorf, Düsseldorf
,
M Klein
2   Fachklinik Hornheide, Münster
,
C Hallermann
2   Fachklinik Hornheide, Münster
,
K Wermker
3   Klinikum Osnabrück, Osnabrück
› Author Affiliations
 

Introduction:

Head and neck mucosal melanoma (HNMM) is a rare tumor with a poor outcome. The aim of this study was to assess the outcome and identify prognostic factors for a cohort of patients treated in a single head and neck cancer center. In addition we included a case series on sentinel node biopsy (SLNB) to evaluate its value as a staging tool for the node-negative neck.

Methods:

We chose a retrospective study design and included 50 patients that were treated between 1973 and 2015 at Fachklinik Hornheide for primary HNMM. To estimate survival rates we used the Kaplan-Meier method. Uni- and multivariate analysis were used to study the influence of possible risk factors on patients' outcome. These risk factors included patient demographics, tumor characteristics and treatment modalities.

Results:

All patients were treated surgical and 50% received adjuvant treatment. The median disease specific survival (DSS) was 38 months, with a 5-year survival rate of 30%. Positive surgical margin (p =.004) and distant failure (p =.005) were associated with a worse DSS. The median disease freee survival (DFS) was 27 months with a 5-year disease-free rate of 12%. Only tumor depth > 5 mm (p =.002) was associated with a worse DFS. 5 node-negative patients received SLN-Biopsy, 2 were positive and all developed distant failure. The 3 SLN-negative patients stayed free of distant failure. Radiotherapy and chemotherapy had no influence on any outcome measure. UICC-Stage could not predict survival.

Conclusion:

Positive surgical margin and distant failure are the only independent prognostic factors for DSS. Tumor depth can predict disease recurrence. SLNB may be a valuable staging tool for the node-negative neck but further research is needed.



Publication History

Publication Date:
18 April 2018 (online)

© 2018. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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