49th FEBS Congress, İstanbul, Türkiye, 4 - 09 Temmuz 2025, cilt.15, ss.257, (Özet Bildiri)
Laryngeal cancer is one of the most common malignancies in the head and neck region. Prognosis assessment is done with the tumor-nodes-metastasis (TNM) staging system. The TNM system has some shortcomings. Therefore, additional biomarkers are needed to predict individual patient prognosis. Neutrophil-to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammatory index (SII) are potential prognostic markers. The aim of this study was to investigate the effect of NLR, PLR and SII indices on survival in patients diagnosed with laryngeal cancer and to determine the prognostic value of these biomarkers. The findings may contribute to the risk stratification of laryngeal cancer patients and to the determination of treatment strategies. SII, NLR and PLR were calculated from preoperative hemogram tests. Cox regression analyses and Kaplan-Meier survival analyses were performed. A total of 35 advanced male patients were included in the study. In multivariate analysis, extralaryngeal invasion (HR = 3.76 p= 0.041) and recurrence (HR=12.85 p<0.001) were found to be independent prognostic factors for survival. However, no significant relationship was found between NLR, PLR and SII indices and survival (NLR p=0.323 PLR p=0.349 SII p= 0.403). This study shows that the most important factors affecting survival in laryngeal cancer patients are lymph node metastasis, perinodal spread, extralaryngeal invasion and recurrence. Recurrence was determined to be the strongest independent risk factor in predicting mortality. These data were consistent with the existing literature. However, the lack of a significant relationship between NLR, PLR, SII and survival may be due to factors such as inconsistency with the literature, small sample size, the stages of the patients, the pathological characteristics of the tumor and whether the patients received preoperative treatment or not, and the different autoanalyzer used for hemogram parameters.