Extricating human tumour immune alterations from tissue inflammation
Updated June 24, 2025Immunotherapies have achieved remarkable successes in the treatment of cancer, but major challenges remain. An inherent weakness of current treatment approaches is that therapeutically targeted pathways are not restricted to tumours, but are also found in other tissue microenvironments, complicating treatment. Despite great efforts to define inflammatory processes in the tumour microenvironment, the understanding of tumour-unique immune alterations is limited by a knowledge gap regarding the immune cell populations in inflamed human tissues. Here, in an effort to identify such tumour-enriched immune alterations, we used complementary single-cell analysis approaches to interrogate the immune infiltrate in human head and neck squamous cell carcinomas and site-matched non-malignant, inflamed tissues. Our analysis revealed a large overlap in the composition and phenotype of immune cells in tumour and inflamed tissues. Computational analysis identified tumour-enriched immune cell interactions, one of which yields a large population of regulatory T (Treg) cells that is highly enriched in the tumour and uniquely identified among all haematopoietically-derived cells in blood and tissue by co-expression of ICOS and IL-1 receptor type 1 (IL1R1). We provide evidence that these intratumoural IL1R1+ Treg cells had responded to antigen recently and demonstrate that they are clonally expanded with superior suppressive function compared with IL1R1- Treg cells. In addition to identifying extensive immunological congruence between inflamed tissues and tumours as well as tumour-specific changes with direct disease relevance, our work also provides a blueprint for extricating disease-specific changes from general inflammation-associated patterns.
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Atlas

Analysis Portals
Project Label
TumourImmuneInflammationMairSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
Organ Part
Selected Cell Types
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
Nucleic Acid Source
single cell
Paired End
falseAnalysis Protocol
raw_matrix_generation_10x, raw_matrix_generation_10x_2, raw_matrix_generation_10x_3, raw_matrix_generation_rhapsodyFile Format
Cell Count Estimate
140.0kDonor Count
13