Journal of Clinical InvestigationMolecular BiologyPeer-reviewed journal article
An endothelial SOX18-mevalonate pathway axis enables repurposing of statins for infantile hemangioma
Annegret HolmiD, Matthew S. GrausiD, Jill Wylie‐SearsiD, Jerry Wei Heng TaniD, Maya Alvarez-Harmon, Luke Borgelt, Sana NasimiD, Long Hoa ChungiD, Ashish JainiD, Mingwei SuniD, Liang SuniD, Pascal BrouillardiD, Ramrada LekwuttikarniD, Yanfei QiiD, Joyce M. C. TengiD, Miikka VikkulaiD, Harry P. KozakewichiD, John Butler MullikeniD, Mathias FrançoisiD, Joyce E. BischoffiD
Abstract
Infantile hemangioma (IH) is the most common tumor in children and a paradigm for pathological vasculogenesis, angiogenesis and regression. Propranolol is the mainstay of treatment for IH. It inhibits hemangioma vessel formation via a {beta}-adrenergic receptor independent off-target effect of its R(+) enantiomer on the endothelial specific transcription factor sex-determining region Y (SRY) box transcription factor 18 (SOX18). Transcriptomic profiling of patient-derived hemangioma stem cells uncovered the mevalonate pathway (MVP) as a target of R(+) propranolol. Loss of SOX18 function confirmed R(+) propranolol mode of action on the MVP. Functional validation in preclinical IH models revealed that statins - targeting the MVP - are potent inhibitors of hemangioma vessel formation. We propose a novel SOX18-MVP-axis as a central regulator of IH pathogenesis and suggest statin repurposing to treat IH. Our findings reveal novel pleiotropic effects of beta-blockers and statins acting on the SOX18-MVP axis to disable an endothelial specific program in IH, which may impact other scenarios involving pathological vasculogenesis and angiogenesis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/577829v2_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@f02b2corg.highwire.dtl.DTLVardef@1a2790forg.highwire.dtl.DTLVardef@1ba0318org.highwire.dtl.DTLVardef@1213522_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 27
- FWCI
- 25.47
- Field percentile
- top 1%
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