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Host-derived Interleukin 1α induces immune suppressive tumor microenvironment via regulation of monocyte-to-macrophage differentiation

GSE264177 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2024/12/31 Platform GPL24247
Summary
Tumor-associated macrophages exhibit high heterogeneity and contribute to the establishment of an immune-suppressive tumor microenvironment (TME). Although numerous studies have demonstrated that extracellular factors promote macrophage proliferation and polarization, the regulatory mechanisms governing the differentiation process to generate phenotypically, and functionally diverse macrophage subpopulations remain largely unexplored. In this study, we examined the influence of interleukin 1α (IL-1α) on the development of an immune-suppressive TME using syngeneic transplantation murine models of breast cancer. Deletion of IL-1α led to the rejection of syngeneic tumor challenges. Single-cell sequencing analysis revealed that Cx3cr1+ macrophage cells were the primary sources of IL-1α in the TME. The absence of IL-1α reprogrammed the monocyte-to-macrophage differentiation process within the TME, characterized by a notable decrease in the subset of Cx3cr+ ductal-like macrophages and an increase in iNos-expressing stress-responsive cells. Comparative analysis of gene signatures in both human and mouse macrophage subsets suggested that IL-1α deficiency shifted macrophage polarization from M2 to M1 phenotypes, leading to enhanced cytotoxic T lymphocyte activity in the TME. Importantly, elevated levels of IL-1α in human cancers were associated with improved prognosis following immunotherapy. These findings underscore the pivotal role of IL-1α in shaping an immune-suppressive TME through the regulation of macrophage differentiation and activity, highlighting IL-1α as a potential target for breast cancer immunotherapy.
Published in
Host-derived Interleukin 1α induces an immunosuppressive tumor microenvironment via regulating monocyte-to-macrophage differentiation
Raja MRK, Gupta G, Atkinson G et al. · bioRxiv : the preprint server for biology 2024 · PMID 38746389 · doi:10.1101/2024.05.03.592354
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Also filed as BioProject PRJNA1101166 and SRA study SRP502159. Searching any of these in the dataset finder brings you back here.

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