PREDICTOR ROLE OF SYSTEMIC INFLAMMATION IN OVARIAN CANCER

Objective: The study aims to investigate the diagnostic value of hemogram derived systemic inflammation parameters in ovarian cancer.Methods: Totally, group consisted 60 patients with suspected masses who underwent surgery between February 1th, 2020, and May 2021, Ordu University Training Research Hospital. included were divided into two groups according postoperative histopathological diagnosis, benign (consisting 39 patients) malign 21 patients). analysis receiver operating characteristic (ROC) curve was used discover optimal cut-off values blood predict cancer.Results: In cancer group; 85% diagnosed epithelial 62% at late stage. As compares mass group, had higher neutrophil counts (6.67+3.17 vs 4.64+1.94) (p=0.006), but lower lymphocyte (1.60+0.68 2.22+0.64) (p=0.003). high NLR (cut-off 2.557) 71.4% sensitivity 69.2% specificity (AUC 0.817, p=0.000, CI=0.712-0.922). dNLR (cut- off 1.881) also similar as 0.814, CI 0.708-0.921). Significant for other 0.26, 0.0165, 159.66 770.611 MLR, NPR, PLR SII, respectively. Additionally, CA 125 34.45) 15-3 16.4) founded be related cancer.Conclusions: This paper revealed that inflammatory such are mainly associated cancer. study, it emphasized simple easily accessible should addition tumor biomarkers 125, 15-3, which routinely predicting cancers. We think more valuable results will achieved comprehensive studies designed prospectively.