EYA3 regulation of NF-κB and CCL2 suppresses cytotoxic NK cells in the premetastatic niche to promote TNBC metastasis

Sheera R. Rosenbaum, Connor J. Hughes, Kaiah M. Fields, Stephen Connor Purdy, Annika L. Gustafson, Arthur Wolin, Drake Hampton, Natasha M. Shrivastava, Nicholas Turner, Etienne Danis, Christopher Ebmeier, Nicole Spoelstra, Jennifer Richer, Paul Jedlicka, James C. Costello, Rui Zhao, Heide L. Ford

Research output: Contribution to journalArticlepeer-review

Abstract

Triple-negative breast cancer cells must evade immune surveillance to metastasize to distant sites, yet this process is not well understood. The Eyes absent (EYA) family of proteins, which are crucial for embryonic development, become dysregulated in cancer, where they have been shown to mediate proliferation, migration, and invasion. Our study reveals an unusual mechanism by which EYA3 reduces the presence of cytotoxic natural killer (NK) cells in the premetastatic niche (PMN) to enhance metastasis, independent of its effects on the primary tumor. We find that EYA3 up-regulates nuclear factor κB signaling to enhance CCL2 expression, which, in contrast to previous findings, suppresses cytotoxic NK cell activation in vitro and their infiltration into the PMN in vivo. These findings uncover an unexpected role for CCL2 in inhibiting NK cell responses at the PMN and suggest that targeting EYA3 could be an effective strategy to reactivate antitumor immune responses to inhibit metastasis.

Original languageEnglish
Article numbereadt0504
JournalScience Advances
Volume11
Issue number19
DOIs
StatePublished - May 9 2025

Funding

Special thanks to S. Ferrara for assistance with RNA-seq data processing. Thank you to P. Ernst, PhD, for subcloning and providing aliquots of the pLVX-EF1a-IRESmCherry empty vector and IKK2-SE plasmids. We thank the Human Immune Monitoring Shared Resource (RRID:SCR_021985) within the University of Colorado Human Immunology and Immunotherapy Initiative and the University of Colorado Cancer Center (P30CA046934) for expert assistance in analysis of Vectra staining. This work also used the Cell Technologies (RRID:SCR_021982), Genomics (RRID:SCR_021984), Biostatistics and Bioinformatics (RRID:SCR_021982), and Flow Cytometry (RRID:SCR_022035) shared resources at the University of Colorado Anschutz Medical Campus and the University of Colorado Cancer Center (P30CA046934). This work was supported by National Institutes of Health grants R01CA224867 (H.L.F.), R01CA221282 (H.L.F. and R.Z.), R01CA301267 (H.L.F. and R.Z.), R01CA275187 (H.L.F.), K00CA245552 (S.R.R.), F30CA257215 (C.J.H.), F31CA275314 (A.W.), and P30CA046934 (shared resources at the University of Colorado Cancer Center).

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