bioRxivCancer BiologyPreprint
Cancer systems immunology reveals myeloid - T cell interactions and B cell activation mediate response to checkpoint inhibition in metastatic breast cancer
Edgar Gonzalez, Jesse KregeriD, Yingtong LiuiD, Xiaojun WuiD, Arianna BarbettaiD, Aaron G. BaughiD, Batul Al-ZubeidyiD, Julie K. Jang, Sarah M. ShiniD, Matthew B. JacoboiD, Vered StearnsiD, Roisín M. ConnollyiD, Won Ho, Juliet A. EmamaulleeiD, Adam L. MacLeaniD, Evanthia T. Roussos TorresiD
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Abstract
Sensitization of the immune-suppressed tumor microenvironment (TME) of breast cancer by histone deacetylase inhibition shows promise, but the mechanisms of sensitization are unknown. We investigated the TME of breast-to-lung metastases by combining experimental and clinical data with theory. Knowledge-guided subclustering of single-cell RNA-sequencing data and cell circuits analysis identified 39 cell states and salient interactions, of which myeloid, T cell and B cell subpopulations were most affected by treatment. Using functional immunologic assays, we verified that inhibition of the ICAM pathway partially recapitulated treatment effects. Mathematical modeling of tumor-immune dynamics confirmed that tumor reduction required simultaneous modulation of multiple TME interactions. We found evidence that treatment affected anti-tumor antibody production. Analysis of patient biopsies via spatial proteomics corroborated preclinical findings: in responders we observed increased B cell activation, mature tertiary lymphoid structures, and increased CD8+ T cell--macrophage distances with treatment. Overall, this study provides a framework for the discovery of cell-cell interactions that govern responses in complex TMEs. Statement of significanceThis study provides a framework for the discovery of cell-cell interactions that control responses in complex TMEs. We not only identify impactful tumor immunologic interactions that facilitate sensitization of the metastatic TME but also demonstrate how interdisciplinary data integration fuels cancer systems immunology to accelerate discovery of mechanisms of successful immunotherapeutic response in breast cancers and other previously unresponsive solid tumor types.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- assay: proteomics
- research focus: cell-cell communication
- research focus: clustering
- research focus: differential expression
- approach: deep learning
- approach: statistical model
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