Kaplan–Meier analysis shows tumor fraction changes predict clinical benefits from immune checkpoint inhibitors in pan-cancer patients, suggesting new prognostic measures.
A and B, Candidate thresholds for TF change indicating MR and nMR among the patients in whom either T0 or T1 were quantifiable (n = 459). A, Forest plot for various TF changes (B) Kaplan–Meier analysis of rwPFS by select candidate thresholds across the full dataset. Log-rank test between groups: 100% vs. any decrease, P < 0.005; 80% decrease vs. any decrease, P = 0.01; 100% decrease vs. 80% decrease, P = 0.04; 100% decrease vs. any increase, P < 0.005; 80% decrease vs. any increase, P < 0.005; any decrease vs any increase, P < 0.005. c-index, concordance index.
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Liang et al. (2025) studied this question.
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