Abstract
This paper compares the diagnostic accuracy performance of combinations of biomarkers extracted from urine and serum samples for the early diagnosis of ovarian cancer. The sample population consisted of 23and 18 patients with benign disease and cancer, respectively. The concentrationsof 15 ovarian cancer-specific biomarkers were measuredbyantibody microbead-assisted multiplexed immunoassaytechnology. To determine the optimal combination todistinguish benign disease from cancer, the area under the receiver operating characteristic (ROC) curve (AUC) for various marker combinations, consisting of two biomarkers and three biomarkers,was estimated. The diagnosticperformance was evaluated using logistic regression. The biomarker combination with the highest AUC value comprised threebiomarkers with values of97.14% and 91.43%, for thebiomarkers extracted from urine and serum, respectively. This result demonstrates thatcombinations of biomarkers extracted from urine have higher diagnostic accuracy performance than those of biomarkers extracted from serum.
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