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.

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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
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article

A pan-cancer computational model for predicting immunotherapy response by quantifying tumor immune activity

J Y Wong, Ran Xu, Yuchen Feng
Cancer Letters
vaccines and immunoinformatics approaches
article

A pan-cancer computational model for predicting immunotherapy response by quantifying tumor immune activity

J Y Wong, Ran Xu, Yuchen Feng
article en

Abstract

• 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.

Cancer Letters
The University of Sydney (AU)
Good health and well-being
Openalex Percentile: Top 7%
vaccines and immunoinformatics approaches
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