Fig. 4.

Candidate gene expression is indicative of tumor status and can predict worse recurrence-free survival in patients. a Receiver operating characteristic (ROC) curves for individual candidate gene expression, stratifying between benign (n = 35) and tumor (n = 423) patients in the TCGA cohort. AUCs and 95% confidence intervals for each gene are provided on the right. b X-tile analysis and Kaplan-Meier plots for prediction of biochemical recurrence-free survival in the TCGA cohort. Left: X-tile plots depict χ² values for all possible data divisions, with brightness indicating strength of association and green coloration indicating a direct relationship. Black circles on the bottom bars for each graph depict automatically generated cut points maximizing the χ² value in an auto-generated training set. Middle: Histogram depicting the number of patients in the auto-generated validation set below (blue) or above (gray) the cutoff point. Right: Kaplan-Meier plot showing recurrence-free survival in low-expressing (blue, below cutoff) or high-expressing (gray, above cutoff) groups for each gene. Log-rank p values are indicated on each graph