Performance of a urine multimarker panel in the discrimination of stage I breast cancer patients from controls. The top performing urine biomarker panel for the discrimination of stage I breast cancer patients from healthy controls was identified using the Metropolis-Monte Carlo (MMC) algorithm. The performance of this 3-biomarker panel consisting of FSH, MPO, and OC in distinct training and validation sets is presented according to ROC analysis. AUC, area under the curve; CI, confidence interval; SN, sensitivity; SP, specificity.