ArticleNPJ precision oncology2025
Quantitative profiling of intratumor immune heterogeneity identifies loss of immune diversity as a hallmark of cancer progression.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- Exploiting Macropinocytosis Drives Redox Vulnerability to Preferentially Target Drug-Resistant Cancer.ACS nano · 2026Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- QeITH: Quantifies Tumor Ecosystem Heterogeneity to Predict Cancer Progression and Treatment Benefit.Computational and structural biotechnology journal · 2026Article
- Peripheral blood biomarkers in PD-1/PD-L1 immunotherapy: distinguishing predictive from prognostic biomarkers.Frontiers in immunology · 2026Review
- A Bioinspired Approach to Next-Generation Vaccines in Solid Tumors with Engineered Cell Membranes.Research (Washington, D.C.) · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Immunological intratumor heterogeneity (ImTH) describes the variability in the types, spatial distribution, and functional states of immune cells within tumors. While evidence suggests that ImTH influences tumor progression and therapeutic response, few studies have provided a quantitative characterization of ImTH. Here, we present Scoring Immunological Intratumor Heterogeneity (ScImTH), a novel algorithm that quantifies ImTH by calculating the Shannon entropy of immune cell type proportions within the tumor microenvironment. Using bulk, single-cell, and spatial transcriptomic datasets, we show that reduced ScImTH scores are associated with unfavorable survival outcomes, tumor progression-related molecular and phenotypic features, immunosuppressive states, and resistance to immunotherapy across multiple cancer types. Compared with existing measures of tumor immunity, such as immune score and B-cell receptor diversity, the ScImTH score demonstrated stronger and more consistent associations with clinicopathological features. Notably, the ScImTH score outperformed established biomarkers, including tumor mutational burden and PD-L1 expression, in predicting immunotherapy response. These findings highlight the clinical potential of the ScImTH score as a biomarker for cancer prognosis and immunotherapy stratification. More broadly, our results support the hypothesis that loss of immune diversity is a hallmark of tumor progression.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.