A combinatorial EVs-miRNA signature mediates the anti-tumoral activity of NFAT3-regulated extracellular vesicles in aggressive cancers

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Authors: Guenole Tossou, Nadia Ourari, Maëlle Ralu, Alexandre Montanede, Frédéric Guaddachi, Babette Beher, Manon Paul, Emilie Ouanounou, Morgane Le Bras, Stéphane Brunet, Jacqueline Lehmann‐Che, Sébastien Jauliac
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References: 37

Abstract

Abstract Aggressive cancers such as triple-negative breast cancer (TNBC) and pancreatic cancer remain difficult to treat because their malignant behavior is driven by complex gene networks rather than single oncogenic targets. Here, we identify an extracellular vesicle (EV)-associated miRNA signature functionally linked to NFAT3 activity and demonstrate its ability to suppress tumor aggressiveness. Functional analyses revealed that a combination of fifteen miRNAs (miR-Comb 15) was required to fully reproduce the anti-tumoral effects of NFAT3-regulated EVs across TNBC and pancreatic cancer models, whereas individual miRNAs showed only partial activity. These effects were associated with coordinated regulation of validated target genes controlling proliferation and invasion, supporting a network-modulating mechanism of action. To facilitate therapeutic translation, we used EVs derived from HEK 293T cells, a non-tumoral, scalable, and readily engineerable EV source. Using an optimized exogenous pH-gradient loading strategy, miR-Comb 15 was efficiently incorporated into EVs without affecting vesicle integrity or intrinsic bioactivity. HEK 293T EVs loaded with miR-Comb 15 consistently showed the strongest anti-tumoral activity in vitro and in vivo among the delivery platforms evaluated. Together, these findings identify a functional NFAT3-dependent EV-miRNA program and support EV-mediated delivery of combinatorial miRNA therapeutics as a promising strategy for aggressive cancers.

Fields of Study & Subjects

Extracellular vesicles in disease MicroRNA in disease regulation RNA Interference and Gene Delivery

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
16 February 2026
Language
EN
Document type
Preprint