Fig. 3
KRT1-mediated green autofluorescence may become a novel biomarker for RCC diagnosis. A. Among 60 RCC patients, 6 RCC patients had cancerous tissues with higher autofluorescence intensity than adjacent normal renal tissues. B. Compared with non-neoplastic tissues, the average autofluorescence intensity in carcinoma tissues decreased by more than 47.5% (N = 60 Patients, ***P < 0.001, Wilcoxon signed-rank test). C. Taking the autofluorescence intensity as a variable, the ROC analysis based on the training set showed that the area under the curve (AUC) for differentiating cancerous tissues from non-neoplastic tissues in RCC patients was 0.880. When the optimal cut-off value was determined to be 27.45 by the Youden index method, the sensitivity and specificity were 0.843 and 0.835, respectively (N = 121 pairs of samples). D. Based on the validation set, the accuracy, precision, recall, F1-score, TPR, and TNR of this optimal cut-off value (27.45) for distinguishing between cancerous tissues and non-neoplastic tissues in RCC patients were 0.849, 0.930, 0.755, 0.833, 0.755, and 0.943, respectively (N = 53 pairs of samples).
