Fig. 2: Screening for ICANS-predictors and validation of their predictive performance.
A A scheme of exploration and validation of predictive biomarkers for ICANS. Among the proteins detected in the CSF proteomics of the exploratory cohort, 46 proteins met the criteria; signal intensity thresholds (1 × 105), single discriminant performance criteria (AUC > 0.6, Supplementary Table S4), and p-values of t-test (p value < 0.05) were identified, detailed in Supplementary Table S5. A composite ratio was created with the amounts of two proteins in the ICANS-positive group, by placing elevated one in the numerator and decreased one in the denominator. A receiver operating characteristic (ROC) curve was created to classify the presence or absence of ICANS. Selected ratio factors were applied to the CSF proteomics of the second cohort and their performance was evaluated. B The top 5 high-performance ratio factors validated in the second cohort. The 95% confidence interval (95% CI) for the AUC was calculated using the bootstrap method with 1000 iterations of repeated stratified replicates. C The ROC curves for the ratio factors of C1RL and FUCA2 in the first cohort (top) and the second cohort (bottom), and dot plots of the ratio between the two groups are shown. Asterisk * indicates a p-value of less than 0.05, *** indicates a p-value of less than 0.001, and **** indicates a p-value of less than 0.0001. D The ROC curves for the ratio factors of F12 and FUCA2 and the dot plots were shown as in C.
