COMPLETE BLOOD COUNT DERIVED INFLAMMATORY BIOMARKERS IN PATIENTS WITH HEMATOLOGIC MALIGNANCIES

Inflammation sometimes can be associated with the development of number of diseases, among them cancer. Few studies show prognostic value of different inflammatory markers, such as lymphocyte and monocyte count, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and others in some types of blood cancers. There is further need to investigate easy measurable diagnostic and prognostic novel biomarkers in hematologic malignancies. Our aim was to investigate the role of inflammatory markers: NLR, PLR, platelet-monocyte ratio (PMR), hemoglobin-platelet ratio (HPR), hemoglobin-lymphocyte ratio (HLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII) and derived neutrophil-lymphocyte ratio (dNLR), which were used alone or in combination, in early diagnoses of hematologic malignancies. The counts for total white blood cells, neutrophils, lymphocytes, platelets, monocyte and hemoglobin as well as systemic inflammatory factors, such as NLR, PLR, PMR, HPR, HLR, LMR, SII and dNLRwere analysed from patients with hematologic malignancies and their age-matched controls. The area under the curve (AUC), sensitivity, specificity and cut-off values, as well as correlations between these inflammatory markers were analyzed. The patients with hematologic malignancies have significantly increased level of inflammatory markers: NLR, PLR, PMR, HLR, SII and dNLR in comparison with age-matched controls. NLR and PLR positively correlate with each other and SII and negatively correlate with HGB. Additionally, PLR has positive correlation with HLR. dNLR has the highest AUC score. For diagnosing hematologic malignancies the AUC of the ROC curve for dNLR was 0.810 with a 95% CI of 0.646-0.975. However, combining these six markers - NLR, PLR, PMR, HLR, SII and dNLR reached the best AUC score - 0.923 with a 95% of CI of 0.778-1.000. Results indicate that NLR, PLR, PMR, HLR, SII and dNLR, which are easily detectable laboratory parameters and reflect systemic inflammatory response can be predictive factors for hematologic malignancies.