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Record W4416140939 · doi:10.1093/neuonc/noaf201.0046

EPCO-47. DISSECTING MYC-DRIVEN EPIGENETIC MECHANISMS THAT PROMOTE GROUP 3 MEDULLOBLASTOMA UTILIZING HUMANIZED IPSC MODELS

2025· article· en· W4416140939 on OpenAlexaff
Zulekha A. Qadeer, Elise Hou, Dara Siegel, Samantha Westelman, Brian Gudenas, Kyle Smith, Wazim Mohammed Ismail, Linyu Wang, Mary C. Beytagh, Ronald Phua, Liam D. Hendrikse, Miller Huang, Alexandre Gaspar‐Maia, Paul A. Northcott, Michael D. Taylor, William A. Weiss

Bibliographic record

VenueNeuro-Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsH3K4me3EpigeneticsMedulloblastomaNeural stem cellChromatinHistonePolycomb-group proteinsInduced pluripotent stem cellEffectorPRC2

Abstract

fetched live from OpenAlex

Abstract Medulloblastoma (MB) is one of the most prevalent malignant brain tumors in children, with tremendous cognitive and neuroendocrine disability among survivors. Group 3 (G3) MBs have poor overall survival at <50%, higher frequency of metastasis, and no targeted therapies. Amplification of MYC and activation of TGFβ signaling are frequent in G3MB. Remarkably, some tumors have no reported mutations, suggesting roles for chromatin-driven mechanisms in this disease. We have generated novel humanized models for G3MB by transducing neuroepithelial stem cells (NESC) derived from human induced pluripotent stem cells with TGFβ effectors alone and/or in combination with MYC, prioritizing combinations observed in patients. We determined that both MYC and TGFβ effectors drove tumor formation in vivo with the combination driving more aggressive tumors and higher frequency of metastasis. Importantly, NESC-derived tumors clustered with human G3MB, indicating our models recapitulated human disease. To decipher mechanisms of resistance, we integrated CUT&RUN for MYC genomic localization and histone PTMs with RNA-sequencing and discovered MYC-bound neural developmental genes repressed in MYC and TGFβR1-driven lines. These gene signatures were associated with the Polycomb Repressive Complex (PRC) and demarcated with H3K27me3; the histone mark directly regulated by PRC. Further interrogation identified JARID1B, a MYC binding partner and H3K4me3 demethylase, as a regulator of these repressed neural genes. This is further reinforced by the observation of higher H3K27me3 levels concurrent with increased JARID1B expression in human G3MB patient samples, compared to other subtypes. We postulate that deregulation of MYC and context-specific targeting to the chromatin template culminates in transcriptional alterations that promote aggressive G3MB. These studies support a critical role of MYC in repressing target genes to drive tumor formation and JARID1B as a new target for therapy. Collectively, we present a critical framework for understanding mechanisms of resistance and the chromatin landscape of MYC- and TGFβ-driven G3MB.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.312
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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