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Record W7135101791 · doi:10.1093/neuped/wuaf001.048

DMG-18. Leveraging Viral Mimicry for the Treatment of H3K27M Pediatric Diffuse Midline Glioma

2025· article· en· W7135101791 on OpenAlex
Angela Liou, Theophilos Tzaridis, Xue Lei, Jon D. Larson, Augusto Faria Andrade, Lukas Chávez, Charles Spruck, Peter Adams

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeuro-Oncology Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEpigeneticsHistoneImmunogenicityDNA methylationDownregulation and upregulationContext (archaeology)ChromatinHistone H3Epigenomics

Abstract

fetched live from OpenAlex

Abstract H3K27M pediatric diffuse midline glioma (DMG) is a universally lethal brain tumor with a median overall survival of less than one year. 80% of DMGs are driven by the mutant oncohistone, H3K27M, that leads to global downregulation of the repressive H3K27 trimethylation. In the context of H3K27me3 loss, H3K27M DMGs become vulnerable to reactivation of retrotransposons (RT). RTs comprise ∼45% of the human genome and are normally transcriptionally silenced in somatic cells to prevent their deleterious effects on genome integrity and regulation. RT repression is largely mediated by histone modifications (H3K9me3 and H3K27me3) and DNA methylation. However, reactivation of RTs beyond a threshold level of tolerance in cancer cells can augment anti-tumor immunogenicity and induce tumor cell killing by a process termed “viral mimicry”. Our study investigates the potential epigenetic vulnerability of H3K27M DMGs to RT reactivation. We hypothesize that H3K27me3 loss renders H3K27M DMG exquisitely dependent on H3K9me3 as the alternative repressive histone modification to silence RTs, and that targeting H3K9me3 leverages viral mimicry as a therapeutic strategy. Indeed, in our CUT&RUN mapping of H3K9me3 in mouse DMG cell lines, we observed higher H3K9me3 on RTs in the H3K27M DMGs relative to H3WT, implicating a compensatory H3K9me3 response for RT silencing. Accordingly in preliminary studies, targeting H3K9me3 histone methyltransferase SUV39H1 by shRNA reactivated RTs, induced expression of cytosolic dsRNA/dsRNA sensors and interferon stimulated genes in H3K27M relative to H3WT DMG cell lines. This viral mimicry response was further amplified on concurrent inhibition of DNA methylation via Decitabine treatment. Therefore, our data indicates that targeting H3K9me3 could potentially be leveraged therapeutically to induce viral mimicry and immune-mediated tumor cell killing in H3K27M DMGs. Identifying synergistic viral mimicry-inducing combinations that inhibit complementary RT silencing mechanisms may become a formidable immune-based therapeutic avenue in the treatment of H3K27M DMG.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.315
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it