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. Author manuscript; available in PMC: 2015 Oct 24.
Published in final edited form as: J Proteome Res. 2009 Mar;8(3):1293–1303. doi: 10.1021/pr800637z

Table 4.

Individual Diagnostic Performance of Biomarkers to Discriminate Tumor, Non-tumor, and Normal Liver Tissues

Classifiers in each tissue type

Tumor Non-Tumor Normal

Test criteria SSP6108
(HSP27)
SSP7711
(keratin I)
SSP0023
(progesterone
receptor)
SSP0026
(cytochrome
b5)
SSP3102
(cathepsin B)
SSP8103
(haptoglobin)
SSP0026
(cytochrome b5)
SSP8103
(haptoglobin)
AUC 0.820 0.697 0.720 0.783 0.801 0.724 0.733 0.950
Cut-off point 6.298 5.675 5.630 9.190 7.176 6.697 9.171 7.735
Sensitivity 0.782 0.764 0.667 0.778 0.852 0.736 0.800 0.900
Specificity 0.797 0.562 0.779 0.738 0.672 0.708 0.523 0.870
False positive rate, FPR 0.203 0.438 0.221 0.262 0.328 0.292 0.477 0.130
False negative rate, FNR 0.218 0.236 0.333 0.222 0.148 0.264 0.200 0.100
Accuracy 0.790 0.663 0.723 0.756 0.756 0.563 0.546 0.958
Youden's Index 0.579 0.326 0.446 0.516 0.524 0.444 0.323 0.770
Positive likelihood ratio, LR+ 3.852 1.744 3.018 2.970 2.598 2.521 1.677 6.923
Negative likelihood ratio, LR− 0.225 0.420 0.428 0.301 0.220 0.373 0.382 0.115
Positive predictive value, PV+ 0.768 0.600 0.706 0.712 0.852 0.672 0.132 0.281
Negative predictive value, PV− 0.810 0.735 0.735 0.800 0.846 0.459 0.966 0.990