Prognostic Importance of Inflammatory Indexes in Patients Treated by Pazopanib for Soft Tissue Sarcoma.

BACKGROUND: The goal of this study was to evaluate the predictive and prognostic importance of the lymphocyte to monocyte ratio (LMR), neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (DNLR), and systemic immune inflammation index (SSI) in STS cases treated with pazopanib. METHODS: Thirty STS patients treated with pazopanib were included in this study. SSI, DNLR, LMR, and NLR values were calculated at baseline and in the first month. Median values of these predictors in these patients (SSI (944), DNLR (1.8), LMR (2.7), and NLR (3.0)) were taken as cutoff values. The associations between the survival time (both overall survival (OS) and progression-free survival (PFS)) and cutoff values were evaluated using Kaplan Meier curves and Cox regression models. RESULTS: Patients with low SSI, NLR, and DNLR values at pretreatment and after the initial response had longer OS (for OS - p = 0.024, p = 0.015, and p = 0.041, respectively). Longer OS was also found in patients who showed increasing LMR and decreasing NLR after one month of therapy (for ΔLMR, p = 0.016; for ΔNLR, p = 0.016). Pa-tients with low SSI and NLR values at pretreatment and after the initial response had longer PFS (for PFS, p = 0.014, p = 0.04, p ˂ 0.001, respectively). In terms of initial responses to treatment, SSI, NLR, DNLR, and increased LMR were detected as independent risk factors in univariate analysis, but initial response was found to be the only independent risk factor for PFS in multivariate analysis. CONCLUSIONS: Low values of SSI, NLR, and DNLR at pretreatment and at initial response may predict long-term survival rates. After one month of treatment with pazopanib, decreased NLR and increased LMR are predictive of favorable outcomes in these cases.