The best model to discriminate benign ovarian tumors from EOC including borderline tumors was the six-biomarker combination of HE4, CA125, ITGAV, CXCL1, CEACAM1, IL-10RB and age, performing with a diagnostic accuracy of AUC 0.868 and sensitivity 0.86 / specificity 0.82 at best point cut-off, compared to AUC 0.770 and sensitivity 0.76 / specificity 0.73 at best point for the reference model of HE4, CA125 and age. This evidence concerns the gene MUC16 and ovarian benign neoplasm.