A prediction tool incorporating the biomarker S-100B for patient selection for completion lymph node dissection in stage III melanoma.

INTRODUCTION: Completion lymph node dissection (CLND) in sentinel node (SN)-positive melanoma patients is accompanied with morbidity, while about 80% yield no additional metastases in non-sentinel nodes (NSNs). A prediction tool for NSN involvement could be of assistance in patient selection for CLND. This study investigated which parameters predict NSN-positivity, and whether the biomarker S-100B improves the accuracy of a prediction model. METHODS: Recorded clinicopathologic factors were tested for their association with NSN-positivity in 110 SN-positive patients who underwent CLND. A prediction model was developed with multivariable logistic regression, incorporating all predictive factors. Five models were compared for their predictive power by calculating the Area Under the Curve (AUC). A weighted risk score, 'S-100B Non-Sentinel Node Risk Score' (SN-SNORS), was derived for the model with the highest AUC. Besides, a nomogram was developed as visual representation. RESULTS: NSN-positivity was present in 24 (21.8%) patients. Sex, ulceration, number of harvested SNs, number of positive SNs, and S-100B value were independently associated with NSN-positivity. The AUC for the model including all these factors was 0.78 (95%CI 0.69-0.88). SN-SNORS was the sum of scores for the five parameters. Scores of ≤9.5, 10-11.5, and ≥12 were associated with low (0%), intermediate (21.0%) and high (43.2%) risk of NSN involvement. CONCLUSIONS: A prediction tool based on five parameters, including the biomarker S-100B, showed accurate risk stratification for NSN-involvement in SN-positive melanoma patients. If validated in future studies, this tool could help to identify patients with low risk for NSN-involvement.

Melanoma patients' disease-specific knowledge, information preference, and appreciation of educational YouTube videos for self-inspection.

BACKGROUND: Informing and educating melanoma patients is important for early detection of a recurrence or second primary. This study aimed to investigate Dutch melanoma patients' disease-specific knowledge, and their opinions on information provision and the value of e-Health videos. METHODS: All AJCC stage I-II melanoma patients in follow-up between March 2015 and March 2016 at a single melanoma center were invited to complete 19 online questions, addressing respondents' characteristics, knowledge on melanoma, and opinions on melanoma-specific information received and the educational YouTube videos. RESULTS: In total, 100 patients completed the survey (response = 52%); median age was 60 years and 51% were female. Breslow tumor thickness was unknown by 34% and incorrectly indicated by 19%, for presence of ulceration this was 33% and 11%, for mitosis 65% and 14%, and for AJCC stage 52% and 23%, respectively. Only 5% correctly reproduced all four tumor characteristics. Orally delivered information regarding warning signs, severity, treatment possibilities, and importance of self-inspection was clearest for patients, compared to information in the melanoma brochure. According to 77% of patients, YouTube videos regarding self-inspection of the skin and regional lymph nodes had additional value. Altogether, 63% preferred receiving information in multiple ways; 92% orally by their physician, 62% through videos, and 43% through brochures. CONCLUSIONS: Patients' melanoma-specific knowledge appears to be limited. There is an urgent need for further improvement of providing information and patient education. In addition to oral and written information, e-Health videos seem to be a convenient supplemental and easy accessible method for patient education.

Practice variation in Sentinel Lymph Node Biopsy for melanoma patients in different geographical regions in the Netherlands.

BACKGROUND: Due to the lack of solid evidence for treatment benefit of Sentinel Lymph Node Biopsy (SLNB) as part of loco-regional surgical treatment of non-distant metastatic melanoma, there might be variation in surgical treatment strategies in the Netherlands. The objective of the current study was to assess differences in the performance of SLNB, in geographical regions in the Netherlands, of non-distant metastatic melanoma patients (American Joint Committee on Cancer (AJCC) stage I-III). MATERIALS AND METHODS: A total of 28 550 melanoma patients, diagnosed between 2005 and 2013, were included in this population based retrospective study. Data were retrieved from the Netherlands Cancer Registry (NCR). Treatment strategies in 8 regions of the Netherlands were compared according to stage, excluding patients with distant metastasis (AJCC stage IV). RESULTS: Throughout the Netherlands, there was substantial practice variation across the regions. The performance of SLNB in patients with clinically unsuspected lymph nodes and Breslow thickness >1.0 mm was significantly different between the regions. In a post hoc analysis, we observed that patients aged over 60 years, female patients and patients with a melanoma located in head and neck have lower odds to receive a SLNB. CONCLUSION: There is considerable loco-regional practice variation which cannot completely be explained by the patient and tumor characteristics, in the surgical treatment of non-distant metastatic melanoma patients in the Netherlands. Although national guidelines recommend considering SLNB in all patients with a melanoma thicker than 1 mm, only half of the patients received a SLNB. Future research should assess whether this practice variation leads to unwanted variations in clinical outcome.

The predictive power of serum S-100B for non-sentinel node positivity in melanoma patients.

BACKGROUND: Completion lymph node dissection (CLND) in sentinel node (SN) positive melanoma patients leads to substantial morbidity and costs, while only approximately 20% have a metastasis in non-sentinel nodes (NSNs). The aim of this study was to investigate if the biomarkers S-100B and Lactate Dehydrogenase (LDH) are associated with NSN positivity, to identify patients in whom CLND could safely be omitted. METHODS: All SN positive patients who underwent CLND at the University Medical Centre Groningen between January 2004 and January 2015 were analysed. Patient and tumor characteristics, and serum S-100B and LDH values measured the day before CLND were statistically tested for their association with NSN positivity. RESULTS: NSN positivity was found in 20.6% of the 107 patients undergoing CLND. Univariate analysis revealed male gender (p = 0.02), melanoma of the lower extremity (p = 0.05), Breslow thickness (p = 0.004), ulceration (p = 0.04), proportion of involved SNs (p = 0.045) and S-100B value (p = 0.01) to be associated with NSN positivity. LDH level was not significantly associated with positive NSNs (p = 0.39). In multivariable analysis, S-100B showed to have the strongest association with NSN positivity, within its reference interval of 0.20 µg/l (p = 0.02, odds ratio 5.71, 95% confidence interval 1.37-23.87). CONCLUSION: In this study, the preoperatively measured S-100B value is the strongest predictor for NSN positivity in patients planned for CLND. Fluctuations of the S-100B level within the reference interval might give important clues about residual tumor load. Although further validation will be needed, this new closer look of S-100B could be of value in patient selection for CLND in the future.