Abstract
e21045 Background: Biomarkers to select the patients most likely to benefit from checkpoint inhibitors are urged. NLR is a simple way of measuring systemic inflammation and is an independent predictor of survival before Anti-CTLA4 therapy. We hypothesized if NLR is also a predictor of survival before Anti-PD1 therapy. Methods: We performed a retrospective review of the medical records of all consecutive metastatic melanoma patients who received Nivolumab treatment from January/2014 – February/2017, including 53 patients prospectively collected from an Expanded Access Program. Of 86 patients, 83 patients were included for demographic and efficacy analysis, and 74 had information about baseline pre-treatment NLR. We analyzed NLR as a continuous variable and categorised ≥ 5 vs. < 5. Kaplan-Meier method was used for survival analysis. Long-rank test compared categories and Cox proportional hazards regression model was used to assess the prognostic significance of baseline NLR in univariate and multivariable analysis. Results: Median PFS for the entire population was 6,407 months (3,28 – 9,52) and median OS was not reached (NR) with a median FU of 10,74 months. The median NLR ratio was 3,11 (0,87 – 19). 18 patients (24,3%) had a ≥ 5 NLR vs. 56 (75,7%) < 5. Median PFS for NLR ≥ 5 was: 2,3 (1,75 – 2,84) vs. 12,02 (5,11 – 18,93) for < 5 (HR = 3,11; IC95% 1,52 – 6,27; p = 0,001). Median OS ≥ 5: 3,05 (2,06 – 4,04) vs. NR for < 5 (HR = 5,88; IC95% 2,60 – 13,29; p = 0,001). NLR categorised remained statistically significant in multivariate analysis for PFS and NLR as a continuous variable remained statistically significant for both PFS and OS in multivariate analysis (Table 1). Conclusions: Baseline NLR is a rapid, simple, and cost-free predictor of survival before Anti-PD1 therapy. These results should be validated in a larger cohort of patients. [Table: see text]
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