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Record W2986598134 · doi:10.1093/neuonc/noz175.798

PDTM-22. A C19MC-LIN28A-MYCN ONCOGENIC CIRCUIT DRIVEN BY HIJACKED SUPER-ENHANCERS IS A DISTINCT THERAPEUTIC VULNERABILITY IN ETMRS – A LETHAL BRAIN TUMOR

2019· article· en· W2986598134 on OpenAlexaff
Iqra Mumal, Patrick Sin‐Chan, Tannu Suwal, Irtisha Singh, Xiao‐Nan Li, Charles Y. Lin, Jeremy N. Rich, Stephen C. Mack, Annie Huang

Bibliographic record

VenueNeuro-Oncology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCancer researchBiologyEnhancerEmbryonic stem cellNeural stem cellChromatinLineage (genetic)CellGeneCell biologyStem cellTranscription factorGenetics

Abstract

fetched live from OpenAlex

Abstract Embryonal tumors with multi-layered rosettes (ETMR) are aggressive brain cancers with characteristic C19MC oncomiR amplification and enrichment of pluripotency factor LIN28A. Here we investigated C19MC oncogenic mechanisms and discovered a potent C19MC-LIN28A-MYCN circuitry driven by multiple regulatory loops and super-enhancers resulting from long-range MYCN DNA interactions and C19MC gene fusions. C19MC and LIN28A targets respectively converge on critical cell cycle tumor suppressors and neo-embryonic DNMT3A/B isoforms. We identify a MYCN driven, core transcriptional network, conserved in early neural stem cells, that is potently abrogated by treatment with bromodomain inhibitor JQ1, leading to ETMR cell death. Our collective data suggest C19MC oncomiRs drive a malignant primitive cell state in ETMRs via entrapment of an early neural lineage network, which represents a critical therapeutic vulnerability for this recalcitrant disease.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.281
Teacher spread0.265 · 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
Published2019
Admission routes1
Has abstractyes

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