Table 2.
Secondary marker | AUC |
Primary marker |
||||||||
---|---|---|---|---|---|---|---|---|---|---|
CA125 |
HE4 |
CA72-4 |
||||||||
Correlations1 | ΔAUC2 | ΔAUCPr3 | Correlations1 | ΔAUC2 | ΔAUCPr3 | Correlations1 | ΔAUC2 | ΔAUCPr3 | ||
CA-125 | 0.896 | – | – | – | – | – | – | |||
HE4 | 0.797 | 0.72, 0.16 | 0.0009 | 0.002 | – | – | – | – | ||
CA72-4 | 0.753 | 0.58, −0.05 | 0.001 | 0.0003 | 0.42, −0.01 | 0.031 | 0.017 | – | – | |
Kallikrein-6 | 0.685 | 0.56, 0.12 | 0.0001 | 0.0004 | 0.57, 0.32 | 0.001 | 0.0003 | 0.43, −0.05 | 0.002 | 0.024 |
CA15–3 | 0.668 | 0.61, 0.10 | 0.002 | 0.004 | 0.44, 0.15 | 0.0001 | 0.001 | 0.53, 0.0 | 0.0007 | 0.009 |
Mesothelin | 0.665 | 0.43, −0.08 | 0.001 | 0.0005 | 0.61, 0.35 | 0.0002 | 0.0000 | 0.27, 0.10 | 0.017 | 0.027 |
B7-H4 | 0.654 | 0.46, −0.01 | 0.006 | 0.0001 | 0.36, 0.07 | 0.014 | 0.006 | 0.41, −0.01 | 0.007 | 0.020 |
MIF | 0.605 | 0.19, 0.05 | 0.0005 | 0.0002 | 0.30, 0.14 | 0.0004 | 0.0000 | 0.26, 0.04 | 0.0002 | 0.003 |
MMP7 | 0.598 | 0.51, 0.07 | 0.0007 | 0.003 | 0.49, 0.44 | 0.0003 | 0.002 | 0.46, −0.10 | 0.0006 | 0.004 |
Prolactin | 0.598 | −0.11, 0.02 | 0.011 | 0.007 | −0.25, −0.06 | 0.034 | 0.020 | −0.15, 0.02 | 0.017 | 0.018 |
Spondin | 0.597 | 0.25, 0.04 | 0.0004 | 0.0001 | 0.18, 0.25 | 0.001 | 0.001 | 0.08, −0.01 | 0.003 | 0.011 |
IGF-II | 0.584 | [−0.16, −0.07] | 0.0002 | 0.0001 | [−0.21, −0.20] | 0.0006 | 0.0001 | [−0.12, 0.04] | 0.003 | 0.006 |
IGFBPII | 0.571 | 0.46, 0.05 | 0.0002 | 0.003 | 0.42, 0.33 | 0.0009 | 0.002 | 0.31, −0.09 | 0.0003 | 0.002 |
Eotaxin | 0.569 | [0.04, 0.04] | 0.005 | 0.006 | [0.10, 0.04] | 0.026 | 0.012 | [−0.06, −0.04] | 0.004 | 0.008 |
sVCAM-1 | 0.559 | [−0.16, 0.00] | 0.0004 | 0.0000 | [−0.05, 0.11] | 0.002 | 0.003 | [−0.08, −0.08] | 0.0002 | 0.002 |
Notes: Top 15 markers in terms of univariate AUC are listed.
Correlations (cases, controls) of primary marker with secondary marker. Brackets [,] denote that secondary marker is down-regulated in cases. Primary markers are all up-regulated in cases.
Observed increase in AUC for (optimal) combination of primary and secondary marker over that achieved with primary marker alone; AUCs computed non-parametrically. Bold indicates increase in AUC of 0.01 or more.
Predicted increase in AUC, based on assuming log MVN distribution, for (optimal) combination of primary and secondary marker over that achieved with primary marker alone.