bioRxivCancer BiologyPreprint
Targeting an RNA Editor to Impede H3K27M+ Pediatric Gliomas
Christian Kieran RamsoomairiD, Victoria ÁlvareziD, Felipe Sarmiento, Manuela Aramburu Berckemeyer, Deepa SeetharamiD, Kajol Kalliecharan, Sreerag N. MoorkkannuriD, Jonathan MitchelliD, Anna Hudson, Justin TayloriD, Michele CeccarelliiD, Defne BayıkiD, Oren Josh BecheriD, Rajeev Prabahakar, Scott M. WelfordiD, Bradley H. GampeliD, Daniel Diniz De CarvalhoiD, Danny ReinbergiD, Ashish H Shah
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Abstract
Diffuse midline glioma (DMG) is a lethal pediatric brain tumor with no curative therapies. Immune checkpoint blockade (ICB) has shown limited efficacy in DMG, largely due to poor T cell infiltration, low immune checkpoint (IC) expression, and a low tumor mutational burden. Here, we identify adenosine deaminase acting on RNA (ADAR), an RNA-editing enzyme that suppresses endogenous dsRNA sensing, as a key mediator of immune evasion in H3K27M-mutant DMG. ADAR is significantly overexpressed in H3K27M tumors relative to wild-type high-grade gliomas, and its depletion selectively suppresses proliferation in patient-derived DMG cells. The H3K27M mutation was found to synergize with ADAR loss to increase retroelement expression, activate type I interferon signaling, and induce immune checkpoint expression. We further identify all-trans retinoic acid (ATRA) as a pharmacologic inducer of ADAR degradation. At clinically relevant doses, ATRA phenocopies ADAR depletion, enhancing antiviral and interferon responses while increasing tumor immunogenicity. In orthotopic immunocompetent DMG models, ATRA enhances CD8+ T cell infiltration and synergizes with ICB and irradiation to improve survival.
- organism: human
- assay: bulk RNA-seq
- assay: proteomics
- assay: metabolomics
- research focus: cancer & tumor microenvironment
- research focus: cell signaling & trafficking
- research focus: drug response / drug discovery
- research focus: host-pathogen & immune response
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- approach: biophysical modeling
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