Background and Importance The prognostic value of biomarkers such as neutrophil/lymphocyte ratio (NLR), derived neutrophil/lymphocyte ratio (dNLR) and platelet/lymphocyte ratio (PLR) is increasingly studied, showing their usefulness in patients with different anti-PDL1 treatments in the context of oncological pathologies.

Aim and Objectives To analyse whether there is a statistical relationship between these three parameters and to analyse the biomarkers and to analyse their effect on survival.

Material and Methods Observational and retrospective study in patients treated with pembrolizumab and diagnosed with non-small-cell lung cancer (NSCLC) in a tertiary level hospital. Demographic variables (sex and age) were collected, NLR as neutrophil/lymphocyte count, dNLR as neutrophil/leukocyte/neutrophil count and PLR as platelet/lymphocyte count were calculated. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method and log-rank test as a hypothesis test. The cut-off points were NLR=5, dNLR=3 and PLR=200. Spearman’s correlation test was used to check the correlation between the three biomarkers (previously the non-normality of the samples was checked by Kolmogorov-Smirnov test).

Results A total of 74 patients treated with pembrolizumab were registered, 59 men (80,8%) and 14 women, with a median age of 65 [83-37] years. Median neutrophil count was 5.45 [6.1-1.5] x109neut/L, lymphocyte count was 1.45 [3.9-0.2] x109linf/L and platelet count was 174.7 [56.92-1345] x109 platelets/L. Table 1 shows the survival results obtained.

Spearman’s correlation test showed statistical significance in the relationship between the three biomarkers showing a strong association between them, Spearman’s coefficients obtained are shown: NLR-dNLR 0.934 (p=0), NLR-PLR 0.697 (p=0) dNLR-PLR 0.616 (p=0).

Conclusion and Relevance For the three biomarkers there are significant differences in survival outcomes for the selected cut-off points, offering prognostic value for our patients. Spearman’s test indicates that there is a correlation between the biomarkers.

Conflict of Interest No conflict of interest