bioRxivCancer Biology
A palmitate-rich metastatic niche enables metastasis growth via p65 acetylation
P. Altea-Manzano, G. Doglioni, A. M. Cuadros, E. Nolan, J. Fernandez-Garcia, Q. Wu, F. Cidre-Aranaz, A. Montagne, M. Planque, O. Marin-Bejar, J. Van Elsen, I. Vermeire, D. Broekaert, C. Riera-Domingo, F. Richard, T. Geukens, M. De Schepper, S. Leduc, S. Hatse, Y. Lambrechts, E. Kay, S. Lilla, S. Demeyer, V. Geldhof, B. Boeckx, , S.-M. Fendt
Abstract
Cancer cells outgrowing in distant organs of metastasis rewire their metabolism to fuel on the available nutrients. While this is often considered an adaptive pressure limiting metastasis formation, some nutrients available at the metastatic site naturally or through changes in organ physiology may inherently promote metastatic growth. We find that the lung, a frequent site of metastasis, is a lipid-rich environment. Moreover, we observe that pathological conditions such as pre-metastatic niche formation and obesity further increase the availability of the fatty acid palmitate in the lung. We find that targeting palmitate processing inhibits spheroid growth in vitro and metastasis formation in lean and obese mice. Mechanistically, we discover that breast cancer cells use palmitate to synthesize acetyl-CoA in a carnitine palmitoyltransferase 1a (CPT1a)-dependent manner. Lysine acetyltransferase 2a (KAT2a), whose expression is promoted by palmitate availability, relies on the available acetyl-CoA to acetylate the NF-{kappa}B subunit p65. This favors nuclear location of p65 and activates a pro-metastatic transcriptional program. Accordingly, deletion of KAT2a phenocopies CPT1a silencing in vitro as well as in vivo and patients with breast cancer show co-expression of both proteins in metastases across palmitate-rich metastatic sites. In conclusion, we find that palmitate-rich environments foster metastasis growth by increasing p65 acetylation resulting in elevated NF-{kappa}B signaling.
- organism: mouse
- organism: human
- assay: bulk RNA-seq
- research focus: cell signaling & trafficking
- research focus: cancer & tumor microenvironment
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
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