Fig. 9: Predictive power of early on-treatment biomarkers.
From: Identifying biomarkers for treatment of uveal melanoma by T cell engager using a QSP model

a, b Percentage change in response probability or RIS, for relative change in single biomarker quantities at day 15 after treatment initiation from baseline, calculated with respect to predictive power at baseline. Quantities shown in green and golden yellow, show an increase and decrease in predictive power with respect to baseline. c, d Comparison of response probabilities and RIS of the best single or composite biomarkers at different time points. Colors represent the time point of biomarker quantification (baseline, relative changes at day 15 or day 30 with respect to baseline). The numbers at the top of (c) and (d) indicate the number of biomarkers combined. Quantities that were assumed to be constant over time were excluded while calculating the relative change with respect to baseline. Statistical significance is calculated using Wilcoxon test (ns/NS: p > 0.05; ****: p ≤ 0.0001). Box represents the interquartile range (IQR), line within the box indicates the median value of the data, whiskers extend to the smallest and largest values within 1.5 * IQR, outliers are the individual points that fall outside the whiskers.