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. 2017 Dec 9;9(1):1091–1106. doi: 10.18632/oncotarget.23124

Table 1. Receiver operating characteristic curves of CONCORD prediction on independent validation cohorts.

Drug Cancer
Type
Validation
Cohort
AUC (SE) P-value 95% Confidence
Interval of AUC
Paclitaxel Breast Hess-133 0.724 (0.048) < 0.001 [0.629, 0.818]
Horak-127 0.663 (0.055) 0.005 [0.556, 0.77]
Tabchy-91 0.681 (0.066) 0.016 [0.552, 0.81]
Ovarian TCGA-448 0.602 (0.035) 0.004 [0.534, 0.671]
UVA-51 0.725 (0.072) 0.006 [0.584, 0.867]
Dressman-119 0.647 (0.054) 0.013 [0.54, 0.753]
5-FU Breast Tabchy-178 0.626 (0.06) 0.041 [0.509, 0.743]
Hess-133 0.620 (0.057) 0.037 [0.508, 0.733]
Iwamoto-82 0.644 (0.066) 0.041 [0.514, 0.774]
Gastric Kim-97 0.671 (0.065) 0.015 [0.543, 0.799]
Adriamycin Breast Horak-265 0.605 (0.047) 0.035 [0.513, 0.696]
Tabchy-178 0.628 (0.062) 0.038 [0.505, 0.75]
Hess-133 0.654 (0.058) 0.008 [0.539, 0.768]
Iwamoto-82 0.72 (0.061) 0.002 [0.6, 0.84]
Lymphoma Steidl-130 0.601 (0.052) 0.07 [0.5, 0.703]
Hummel-110 0.666 (0.051) 0.003 [0.565, 0.767]

Sensitivity and specificity of CONCORD prediction scores for predicting complete response outcomes in patients of each validation cohort were used to calculate the area under a receiver operating characteristic curve (AUC), standard error (SE), and 95% confidence interval of AUC. P-value is a result of significance test of AUC against a null hypothesized AUC of 0.5, which means a random prediction.