Objective: To assess the utility of hematologic, inflammatory, and immunologic biomarkers for differentiating between ovarian cancer and endometriosis.Methods: Data were retrospectively reviewed from women diagnosed with ovarian cancer and endometriosis after ovarian cyst surgery in Zhejiang, China, 2014 Serologic and hematologic biomarkers, including white blood cell count, lymphocyte count, neutrophil count, red blood cell count, hemoglobin, platelets, and D-dimer, albumin, globulin, cancer antigen 125 (CA125) and CA199 serum levels recorded preoperatively were assessed by ROC curve and logistic regression analysis.
Results:Overall, 49 women were diagnosed with ovarian cancer and 192 with endometriosis. For predicting ovarian cancer, the area under the curve (AUC) was 0.96 (95% confidence interval [CI], 0.94-0.99); sensitivity, 93.2%; specificity, 87.5%) for log(Ddimer), 0.95 (95% CI, 0.91-0.98; sensitivity, 81.3%; specificity, 96.3%) for log(CA125), and 0.92 (95% CI, 0.86-0.98; sensitivity, 92.6%; specificity, 79.2%) for neutrophil-tolymphocyte ratio (NLR). The AUC for the combination of D-dimer, NLR, and CA125 was 0.96 (95% CI, 0.94-0.99; sensitivity, 91.6%; specificity, 89.6%).Conclusion: Serum D-dimer, NLR, and CA125 were found to be potential diagnostic factors for ovarian cancer. Combined measurement of D-dimer, NLR, and CA125 might offer a convenient screening method.