A pan-cancer computational model for predicting immunotherapy response by quantifying tumor immune activity
• Pan-cancer computational model “Immune Thermometer” quantifies tumour immune activity by integrating immune infiltration and stromal suppression features. • This model generates continuous digital scores for individual tumours and enables immune activity to be measured independently of cancer type. • This model accurately identifies immune-active tumours, outperforming existing biomarkers such as PD-L1 and TMB, and predicts diverse immunotherapy responses. • This model represents a clinically actionable tool for patient stratification and provides a unified foundation for systematic investigations of immune biology.
Authors
- J Y Wong
- Ran Xu
- Yuchen Feng
Institutions
- The University of Sydney (AU)
Publication Details
- Journal
- Cancer Letters
- Published
- 2026-03-01
- DOI
- https://doi.org/10.1016/j.canlet.2026.218442
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00