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High neutrophil‐to‐lymphocyte ratio (NLR) is associated with treatment failure and death in patients who have melanoma treated with PD‐1 inhibitor monotherapy

2019; Wiley; Volume: 126; Issue: 1 Linguagem: Inglês

10.1002/cncr.32506

1097-0142

Edmund K. Bartlett, Jessica Flynn, Katherine S. Panageas, Richard Ferraro, Jessica M. Sta.Cruz, Michael A. Postow, Daniel G. Coit, Charlotte E. Ariyan,

Immune cells in cancer

Background An elevated neutrophil‐to‐lymphocyte ratio (NLR) is associated with poor survival in patients with cancer, including those who receive immunotherapies. The authors sought to investigate NLR as a biomarker of treatment outcomes in patients with melanoma who were treated with PD‐1 inhibition. Methods Patients undergoing initial treatment with PD‐1 inhibitor monotherapy for stage IV melanoma at a single center from 2012 to 2015 were included. Clinical characteristics and the NLR at baseline and before subsequent treatment cycles were collected. The time to treatment failure (TTF) and overall survival (OS) were evaluated using Kaplan‐Meier and landmark analyses. Results Among 224 study patients, 63 (28%) had a baseline NLR ≥5. The baseline NLR was significantly associated with Eastern Cooperative Oncology Group performance status and the number of involved metastatic sites. With a median follow‐up of 39 months in survivors, a baseline NLR ≥5 was independently associated with shorter OS (hazard ratio, 2.0; 95% CI, 1.3‐2.9) and TTF (hazard ratio, 1.7; 95% CI, 1.2‐2.4). An NLR increase ≥30% during the first 2 cycles of treatment was associated with worse OS (median, 47 vs 13.5 months; P < .001) and a trend toward shorter TTF (12.8 vs 5.9 months; P = .05). A combined baseline NLR ≥5 and an NLR increase ≥30% identified a small cohort with markedly shortened OS (median, 5.8 months) and TTF (median, 1.8 months). Conclusions Elevated baseline NLR and an increased NLR early during treatment are prognostic for TTF and OS in patients who have melanoma treated with PD‐1 inhibitor monotherapy. Combined, these biomarkers can widely risk‐stratify patients for treatment failure and survival.