Table 3.

Confirmation of candidate multiplex classifiers using (a) a subset of the OC1 training set not used during training through LOOCV and (b) an independent OC2 test set

	a. LOOCV using OC1 training set					b. Independent test validation using OC2 test set
	Control vs. EOC (stage III–IV)					Control vs. EOC (stage III–IV)					Control vs. EOC (stage I–II)					Control vs. LMP
Method determined a cutoff value	Youden index			Specificity level		Youden index			Specificity level		Youden index			Specificity level		Youden index			Specificity level
				70%	80%				70%	80%				70%	80%				70%	80%
Number of glycans in a classifier	Accuracy (%)	Specificity^a (%)	Sensitivity^a (%)	Sensitivity^b (%)	Sensitivity^b (%)	Accuracy (%)	Specificity^a (%)	Sensitivity^a (%)	Sensitivity^b (%)	Sensitivity^b (%)	Accuracy (%)	Specificity^a (%)	Sensitivity^a (%)	Sensitivity^b (%)	Sensitivity^b (%)	Accuracy (%)	Specificity^a (%)	Sensitivity^a (%)	Sensitivity^b (%)	Sensitivity^b (%)
1	86.8	91.7	81.4	84.0	84.0	70.2	59.6	80.8	85.0	85.0	65.4	59.6	71.2	81.0	81.0	58.7	59.6	57.7	77.0	73.0
3	90.1	89.6	90.7	93.0	88.4	75.0	84.6	65.4	73.1	61.5	69.2	84.6	53.8	63.5	53.8	68.3	84.6	51.9	65.4	53.8
5	90.1	93.8	86.0	88.4	86.0	62.5	98.1	26.9	46.2	38.5	55.8	98.1	13.5	25.0	17.3	55.8	98.1	13.5	28.8	21.2
7	87.9	95.8	79.1	86.0	83.7	66.3	94.2	38.5	51.9	46.2	56.7	94.2	19.2	42.3	26.9	58.7	94.2	23.1	42.3	26.9
9	91.2	95.8	86.0	88.4	88.4	73.1	96.2	50.0	59.6	48.1	59.6	96.2	23.1	46.2	30.8	58.7	96.2	21.2	34.6	25.0
11	87.9	97.9	76.7	86.0	81.4	77.9	86.5	69.2	76.9	67.3	71.2	86.5	55.8	65.4	55.8	62.5	86.5	38.5	51.9	40.4
13	84.6	97.9	69.8	83.7	79.1	76.0	84.6	67.3	82.7	75.0	71.2	84.6	57.7	75.0	59.6	64.4	84.6	44.2	65.4	50.0
15	83.5	95.8	69.8	81.4	76.7	73.1	65.4	80.8	92.3	86.5	70.2	65.4	75.0	82.7	80.8	66.3	65.4	67.3	76.9	76.9
17	84.6	95.8	72.1	79.1	74.4	72.1	65.4	78.8	92.3	86.5	71.2	65.4	76.9	82.7	80.8	67.3	65.4	69.2	78.8	76.9
19	83.5	95.8	69.8	81.4	72.1	76.0	82.7	69.2	86.5	78.8	74.0	82.7	65.4	76.9	65.4	69.2	82.7	55.8	69.2	55.8

NOTE: Classification performance was measured in terms of overall accuracy, sensitivity, specificity, and AUC of multiple marker classifiers for comparing healthy controls with the various tumor groups (EOC stage I–II, EOC stage III–IV, and LMP). The classifiers were voting classifiers consisting of an odd number of glycans.

↵^aSensitivity (the true-positive rate) and specificity (the true-negative rate) have been calculated using a cutoff threshold that attained the maximal Youden index.
↵^bSensitivity has been calculated at a classification threshold determined on the basis of providing the desired minimum specificity.