Published February 2, 2018 | Version v.1
Journal article Open

Predictors of sentinel lymph node status of cutaneous melanoma in Serbian patients

  • 1. Institute for Oncology and Radiology of Serbia, Department of Surgical Oncology, Belgrade
  • 2. Institute for Oncology and Radiology of Serbia, Department of Surgical Oncology, Belgrade; Faculty of Medicine University of Belgrade, Serbia
  • 3. Institute of Medical and Clinical Biochemistry, Belgrade; Faculty of Medicine University of Belgrade Serbia
  • 4. Clinic of Dermatology and Venereology, Clinical Center of Serbia, Belgrade, Faculty of Medicine University of Belgrade Serbia

Description

PURPOSE: Presence of metastasis in sentinel lymph node (SLN) is considered to be the most important factor in terms of patient survival. The main aim of this study was to identify predictors of positive SLN in Serbian patients with melanoma.

METHODS: This retrospective study was conducted on 147 patients. Univariate chi-square and univariate logistic regression analyses were used to identify the association between prognostic factors and positive SLN. Receiver Operating Characteristics (ROC) was conducted to find the Breslow thickness cutoff point at which to perform SLN biopsy (SLNB). Kaplan-Meier analysis was used to evaluate disease-free survival (DFS), and log rank test was applied to compare differences between groups.

RESULTS: Breslow thickness and Clark level (p≤0.05), presence of ulceration and a high mitotic rate (>6 mitoses/mm2) (p<0.001) were significant independent predictors of SLN metastasis. ROC curve showed that Breslow thickness of 2.8 mm was the most suitable cutoff point for SLN positivity (sensitivity 86%, specificity 67%). Furthermore, Breslow thickness and presence of ulceration were found to be associated with DFS (p<0.05).

CONCLUSIONS: Patients with Breslow thickness ≥2.8 mm, ulceration, and high mitotic rate are at higher risk for SLN metastasis. In addition, high Breslow thickness and presence of ulceration are associated with decreased DFS. These results indicate that multiple selection criteria should be used when performing and predicting SLN metastasis and disease recurrence.

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Related works

Has part
1107-0625 (ISSN)
2241-6293 (ISSN)
Is identical to
29745094 (PMID)