Extracellular vesicles from triple negative breast cancer promote pro-inflammatory macrophages associated with better clinical outcome.
Mercedes TkachJessie ThalmensiEleonora TimperiPaul GueguenNathalie NevoEleonora GrisardPhilemon SirvenFederico CocozzaAlizée GouronnecLorena Martin JaularMabel Jouve San RomanFabien DelisleNicolas ManelDerek C RookhuizenCoralie L GuerinVassili SoumelisEmanuela RomanoElodie SeguraClotilde ThéryPublished in: Proceedings of the National Academy of Sciences of the United States of America (2022)
Tumor associated macrophages (TAMs), which differentiate from circulating monocytes, are pervasive across human cancers and comprise heterogeneous populations. The contribution of tumor-derived signals to TAM heterogeneity is not well understood. In particular, tumors release both soluble factors and extracellular vesicles (EVs), whose respective impact on TAM precursors may be different. Here, we show that triple negative breast cancer cells (TNBCs) release EVs and soluble molecules promoting monocyte differentiation toward distinct macrophage fates. EVs specifically promoted proinflammatory macrophages bearing an interferon response signature. The combination in TNBC EVs of surface CSF-1 promoting survival and cargoes promoting cGAS/STING or other activation pathways led to differentiation of this particular macrophage subset. Notably, macrophages expressing the EV-induced signature were found among patients’ TAMs. Furthermore, higher expression of this signature was associated with T cell infiltration and extended patient survival. Together, this data indicates that TNBC-released CSF-1-bearing EVs promote a tumor immune microenvironment associated with a better prognosis in TNBC patients.
Keyphrases
- endothelial cells
- dendritic cells
- end stage renal disease
- breast cancer cells
- chronic kidney disease
- adipose tissue
- poor prognosis
- ejection fraction
- stem cells
- high glucose
- prognostic factors
- electronic health record
- peripheral blood
- free survival
- case report
- big data
- cerebrospinal fluid
- oxidative stress
- diabetic rats
- patient reported outcomes
- young adults
- machine learning
- induced pluripotent stem cells
- data analysis