Apo-A1 as a biomarker for predicting and classifying BTCC. (A) Quantitative proteomic analysis of Apo-A1 in urine samples by ELISA. *P < 0.01, Student's t-test. (B) Urianry Apo-A1 distinguishes bladder cancer on independent series of urine samples of patients with BTCC and controls. ROC curve of urinary Apo-A1 as a detection marker for bladder cancer was based on a series of 72 urine samples. Among these, 40 had cancer-positive. The optimal cutoff was 18.22 ng/ml, and the AUC obtained was 0.928 (95% CI 0.870-0.986). (C) Urinary Apo-A1 classifies with a different series of urine samples of patients with low malignant or aggressive BTCC. ROC curve of urinary Apo-A1 as a detective classification marker for BTCC was based on a series of 40 urinary specimens, which consists of 24 low malignant BTCC and 16 aggressive BTCC. The optimal cutoff was 29.86 ng/ml, and the AUC obtained was 0.875 (95% CI 0.758-0.992).