The neutrophil-lymphocyte ratio and locoregional melanoma: a multicentre cohort study.

OBJECTIVES: The neutrophil-lymphocyte ratio (NLR) is an inflammatory biomarker which is useful in cancer prognostication. We aimed to investigate the differences in baseline NLR between patients with localised and metastatic cutaneous melanoma and how this biomarker changed over time with the recurrence of disease. METHODS: This multicentre cohort study describes patients treated for Stage I-III cutaneous melanoma over 10 years. The baseline NLR was measured immediately prior to surgery and again at the time of discharge or disease recurrence. The odds ratios (OR) for sentinel node involvement are estimated using mixed-effects logistic regression. The risk of recurrence is estimated using multivariable Cox regression. RESULTS: Overall 1489 individuals were included. The mean baseline NLR was higher in patients with palpable nodal disease compared to those with microscopic nodal or localised disease (2.8 versus 2.4 and 2.3, respectively; p < 0.001). A baseline NLR ≥ 2.3 was associated with 30% higher odds of microscopic metastatic melanoma in the sentinel lymph node [adjusted OR 1.3 (95% CI 1.3, 1.3)]. Following surgery, 253 patients (18.7%) developed recurrent melanoma during surveillance although there was no statistically significant association between the baseline NLR and the risk of recurrence [adjusted HR 0.9 (0.7, 1.1)]. CONCLUSION: The NLR is associated with the volume of melanoma at presentation and may predict occult sentinel lymph metastases. Further prospective work is required to investigate how NLR may be modelled against other clinicopathological variables to predict outcomes and to understand the temporal changes in NLR following surgery for melanoma.

Baseline Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios as Biomarkers of Survival in Cutaneous Melanoma: A Multicenter Cohort Study.

BACKGROUND: In the peripheral blood, the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) change in response to malignancy. These biomarkers are associated with adverse outcomes in numerous cancers, but the evidence is limited in relation to melanoma. This study sought to investigate the association between these biomarkers and survival in Stages I-III cutaneous melanoma. METHODS: This multicenter cohort study investigated a consecutive series of patients who underwent wide excision of biopsy-proven cutaneous melanoma and sentinel lymph node biopsy during a 10-year period. The baseline NLR and PLR were calculated immediately before sentinel lymph node biopsy. Adjusted hazard ratios (HRs) for overall and melanoma-specific survival were generated. RESULTS: Overall, 1351 patients were included in the study. During surveillance, 184 of these patients died (14%), with 141 of the deaths (77%) attributable to melanoma. Worse overall survival was associated with a baseline NLR lower than 2.5 [HR 2.2; 95% confidence interval (CI) 2.0 to 2.3; p < 0.001] and a baseline PLR lower than 100 (HR 1.8; 95% CI 1.7 to 1.8; p < 0.001). Melanoma-specific survival also was worse, with a baseline NLR lower than 2.5 (HR 1.9; 95% CI 1.6 to 2.2; p < 0.001) and a baseline PLR lower than 100 (HR 1.9; 95% CI 1.7 to 2.2; p < 0.001). The 5-year survival for patients with sentinel lymph node metastases and a low NLR and PLR was approximately 50%. CONCLUSION: This study provides important new data on biomarkers in early-stage melanoma, which contrast with biomarker profiles in advanced disease. These biomarkers may represent the host inflammatory response to melanoma and therefore could help select patients for adjuvant therapy and enhanced surveillance.

MelRisk: Using neutrophil-to-lymphocyte ratio to improve risk prediction models for metastatic cutaneous melanoma in the sentinel lymph node.

BACKGROUND: Identifying metastatic melanoma in the sentinel lymph node (SLN) is important because 80% of SLN biopsies are negative and 11% of patients develop complications. The neutrophil-to-lymphocyte ratio (NLR), a biomarker of micrometastatic disease, could improve prediction models for SLN status. We externally validated existing models and developed 'MelRisk' prognostic score to better predict SLN metastasis. METHODS: The models were externally validated using data from a multicenter cohort study of 1,251 adults. Additionally, we developed and internally validated a new prognostic score `MelRisk', using candidate predictors derived from the extant literature. RESULTS: The Karakousis model had a C-statistic of 0.58 (95% CI, 0.54-0.62). The Sondak model had a C-statistic of 0.57 (95% CI 0.53-0.61). The MIA model had a C-statistic of 0.60 (95% CI. 0.56-0.64). Our 'MelRisk' model (which used Breslow thickness, ulceration, age, anatomical site, and the NLR) showed an adjusted C-statistic of 0.63 (95% CI, 0.56-0.64). CONCLUSION: Our prediction tool is freely available in the Google Play Store and Apple App Store, and we invite colleagues to externally validate its performance .