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. Author manuscript; available in PMC: 2021 Aug 2.
Published in final edited form as: J Urol. 2019 May 21;203(1):62–72. doi: 10.1097/JU.0000000000000351

Table 3: Efficacy analysis of MCG-1 subtypes in cohort-1 and the Oncomine-dataset.

Efficacy was calculated using cut-off limits (Youden’s index) from the ROC curves to calculate metastasis, CSS, and OS. For bootstrap modeling, data were generated using 1000 iterations.

Cohort-1
Metastasis CSS Indicator (+ = Death due to BC )
Efficacy analysis Efficacy analysis
AUC % Sensitivity % Specificity AUC % Sensitivity % Specificity
0.545 80.0 30.8 0.586 83.3 35.7
Bootstrap modeling Bootstrap modeling
Mean 63.9 57.7 Mean 69.5 54.7
Median 68.0 56.3 Median 78.9 50
95% CI 17.9 – 95.8 23.1 – 100 95% CI 18.2 – 98.3 20.0 – 100
Oncomine-dataset
CSS Indicator OS Indicator (+ = Death)
Efficacy analysis Efficacy analysis
AUC % Sensitivity % Specificity AUC % Sensitivity % Specificity
0.516 52.2 56.4 0.571 55.3 58.3
Bootstrap modeling Bootstrap modeling
Mean 67.8 46.4 Mean 60.2 57.3
Median 66.7 49.0 Median 58.7 60.7
95% CI 25.0 – 90.1 21.3 – 85.9 95% CI 13.4 – 96.0 14.9 – 99.3