Communications BiologyMolecular BiologyPeer-reviewed journal article
A non-canonical EZH2/TRIM28 epigenetic axis drives heparan sulfate remodeling and melanoma metastasis
Neil G. PateliD, Alexandra DrakakiiD, Farhan Valummel, Jack C. Moore, Amrita BasuiD, Bin Hu, Xiaolin DongiD, Peng ZhaoiD, Mees Botman, Emily Spector, Mark Cameron MocheliD, Lance WellsiD, Jennifer E. KoblinskiiD, Marten A. HoeksemaiD, Ryan J. WeissiD
Abstract
Melanoma progression and metastasis are driven not only by oncogenic alterations but also by epigenetic programs that dynamically remodel the tumor microenvironment. Heparan sulfate (HS) proteoglycans are key extracellular matrix components that integrate growth factor signaling, cell-matrix interactions, and migratory behavior by controlling ligand availability and receptor engagement, yet how chromatin-associated factors regulate HS remodeling in cancer remains poorly defined. Here, we identify the histone methyltransferase EZH2 as a key regulator of HS biosynthesis in melanoma. Integrated bioinformatic and genomic analyses revealed enrichment of EZH2 and additional Polycomb Repressive Complex (PRC) factors at regulatory regions of HS biosynthetic genes. CRISPR-mediated loss of EZH2 altered expression of multiple HS-modifying enzymes, most notably the secreted endosulfatases SULF1 and SULF2, resulting in enhanced HS 6-O sulfation and altered ligand binding at the cell surface. Unexpectedly, EZH2 promoted SULF1 expression through a methyltransferase-independent mechanism via a non-canonical interaction with TRIM28, whereas SULF2 was regulated through canonical PRC2-mediated repression. Functionally, SULF1 depletion impaired melanoma cell migration and invasion in vitro and reduced spontaneous metastasis in an orthotopic xenograft model. Together, these findings define an epigenetic axis linking chromatin regulation to extracellular glycan remodeling and identify HS-modifying enzymes as candidate targets to limit melanoma metastasis.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- top 30%
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