Supplementary Figure S4 from Methylation-Based ctDNA Tumor Fraction Changes Predict Long-Term Clinical Benefit From Immune Checkpoint Inhibitors in RADIOHEAD, a Real-World Pan-Cancer Study | Synapse
August 20, 2025Open Access
Supplementary Figure S4 from Methylation-Based ctDNA Tumor Fraction Changes Predict Long-Term Clinical Benefit From Immune Checkpoint Inhibitors in RADIOHEAD, a Real-World Pan-Cancer Study
Key Points
Tumor fraction changes significantly predict long-term clinical benefit from immune checkpoint inhibitors, emphasizing their relevance in treatment planning.
The analysis identified critical thresholds for tumor fraction change, providing specific metrics for assessing patient outcomes with this intervention.
Using a forest plot analysis, the study examined real-world data across various cancer types, highlighting the importance of ctDNA monitoring in clinical settings.
Findings support the potential for personalized therapy approaches in immuno-oncology, indicating further research is necessary to validate these observations.
Abstract
Forest Plot analysis for percentage TF change threshold determination