Previous studies have suggested that elevated neutrophil-to-lymphocyte ratio (NLR) is prognostic for worse outcomes in patients with a variety of solid cancers, including those treated with immune checkpoint inhibitors.,This was a retrospective analysis of 97 consecutive patients with stage IV melanoma who were treated with nivolumab.,Baseline NLR and derived (d) NLR were calculated and, along with other characteristics, correlated with progression-free survival (PFS) and overall survival (OS) in univariate and multivariate analyses.,The best cutoff values for NLR and dNLR were derived using Cutoff Finder software based on an R routine which optimized the significance of the split between Kaplan-Meier survival curves.,In univariate analysis, increasing absolute neutrophil count (ANC), NLR, dNLR and lactate dehydrogenase (LDH) (continuous variables) were all significantly associated with OS.,Only NLR (hazard ratio [HR] = 2.85; 95% CI 1.60-5.08; p < 0.0001) and LDH (HR = 2.51; 95% CI 1.36-4.64; p < 0.0001) maintained a significant association with OS in multivariate analysis.,Patients with baseline NLR ≥5 had significantly worse OS and PFS than patients with NLR < 5, as did patients with baseline dNLR ≥3 versus < 3.,Optimal cut-off values were ≥ 4.7 for NLR and ≥ 3.8 for dNLR.,Using this ≥4.7 cut-off for NLR, the values for OS and PFS were overlapping to the canonical cut-off for values, and dNLR< 3.8 was also associated with better OS and PFS.,Both Neutrophil-to-lymphocyte ratio (NLR) and derived (d) NLR were associated with improved survival when baseline levels were lower than cut-off values.,NLR and dNLR are simple, inexpensive and readily available biomarkers that could be used to help predict response to immunotherapy in patients with advanced melanoma.,The online version of this article (10.1186/s40425-018-0383-1) contains supplementary material, which is available to authorized users.
The heterogeneous behavior of patients with melanoma makes prognostication challenging.,To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed.,This study evaluates the GEP’s prognostic accuracy in an independent cohort of cutaneous melanoma patients.,This multi-center study analyzed primary melanoma tumors from 523 patients, using the GEP to classify patients as Class 1 (low risk) and Class 2 (high risk).,Molecular classification was correlated to clinical outcome and assessed along with AJCC v7 staging criteria.,Primary endpoints were recurrence-free (RFS) and distant metastasis-free (DMFS) survival.,The 5-year RFS rates for Class 1 and Class 2 were 88% and 52%, respectively, and DMFS rates were 93% versus 60%, respectively (P < 0.001).,The GEP was a significant predictor of RFS and DMFS in univariate analysis (hazard ratio [HR] = 5.4 and 6.6, respectively, P < 0.001 for each), along with Breslow thickness, ulceration, mitotic rate, and sentinel lymph node (SLN) status (P < 0.001 for each).,GEP, tumor thickness and SLN status were significant predictors of RFS and DMFS in a multivariate model that also included ulceration and mitotic rate (RFS HR = 2.1, 1.2, and 2.5, respectively, P < 0.001 for each; and DMFS HR = 2.7, 1.3 and 3.0, respectively, P < 0.01 for each).,The GEP test is an objective predictor of metastatic risk and provides additional independent prognostic information to traditional staging to help estimate an individual’s risk for recurrence.,The assay identified 70% of stage I and II patients who ultimately developed distant metastasis.,Its role in consideration of patients for adjuvant therapy should be examined prospectively.,The online version of this article (10.1186/s12885-018-4016-3) contains supplementary material, which is available to authorized users.