Cancer Research CommunicationsCancer BiologyPeer-reviewed journal article
Stromal cell subsets modulate T-cell infiltration in early breast cancer
Julia CheniD, Hanyun ZhangiD, Travis RuaniD, Sunny Z. WuiD, Iveta ŠlapetováiD, Ewan K.A. MillariD, Peter GrahamiD, Jodi LynchiD, Lois H Browne, Elgene LimiD, Alexander SwarbrickiD
Abstract
Recent studies of the tumour microenvironment have elucidated the heterogeneity of stromal cells, with increasing evidence suggesting that stromal subsets play an important role in regulating anti-tumour immunity in breast cancer. However, the functional diversity of these cells within the tumour immune microenvironment and how they interact with immune cells in a spatial and clinical context remain poorly understood. We performed multiplex immunofluorescence on tumour microarrays from two cohorts consisting of 591 breast cancer patients to assess the abundance and spatial co-localisation of stromal and immune subsets and their correlation with clinicopathological features and patient outcomes. We found that stromal cells were spatially distinct. A perivascular-like subset that was disseminated throughout the stroma rather than restricted to vessel-adjacent regions was enriched in an immune cold environment and associated with T-cell exclusion. An inflammatory-like cancer-associated fibroblast subset was associated with segregation of T cells from cancer cells. Our findings highlight the differential impact of stromal subsets on immune infiltration and activation within the breast cancer tumour microenvironment with potential implications for patient outcomes. SignificanceThis study characterised spatially-defined interactions between stromal and immune subsets in large clinical cohorts of early breast cancer. Findings from this study will contribute to gaps in current knowledge in how diverse stromal cell subsets, particularly novel subsets, interact with immune cells in a clinically-relevant context.
- organism: human
- assay: imaging
- research focus: host-pathogen & immune response
- approach: experimental assay
- Citations
- 1
- FWCI
- 2.94
- Field percentile
- top 8%
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