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Record W4380368985 · doi:10.1093/neuonc/noad073.240

MDB-07. MYC AND TGFΒ PROMOTE GROUP 3 MEDULLOBLASTOMA TUMOR RESISTANCE THROUGH DEREGULATION OF KDM2B TARGETS

2023· article· en· W4380368985 on OpenAlexaff
Zulekha A. Qadeer, Samantha Westelman, Mackenzie Johnson, Shane Grele, Elise Hou, Liam D. Hendrikse, Linyu Wang, Sarah Husain, Mary C. Beytagh, Christin Schmidt, Miller Huang, Michael D. Taylor, William A. Weiss

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsDemethylaseCancer researchMedulloblastomaBiologyEffectorEpigeneticsDownregulation and upregulationCarcinogenesisCancerGeneCell biologyGenetics

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%, few recurrent mutations, higher frequency of metastasis, and no targeted therapies. Amplification of MYC and activation of TGFβ signaling are frequent in G3MB. Remarkably, some MB tumors have no reported mutations, suggesting roles for epigenetic mechanisms in driving disease. We hypothesize that the TGFβ pathway and MYC contribute to the intrinsic resistance of G3MB through deregulation of key genes and pathways. We previously established humanized models for SHHMB by introducing MYCN or PTCH1 deletions into neuroepithelial stem cells (NESC) derived from normal human induced pluripotent stem cells (hIPSCs). In this study, we transduced NESCs with TGFb effectors activated in G3MB alone and/or in combination with MYC, prioritizing combinations observed in patients. Excitingly, both MYC and TGFβ effectors drove tumor formation in vivo with the combination of TGFβ effectors with MYC leading to more aggressive tumors. We next found that NESCs expressing MYC with either TGFβR1 or TGFβ1 showed resistance to clinical TGFβR1 inhibitors, compared to cells driven by either TGFβR1 or TGFβ1 alone. To decipher mechanisms of resistance, we integrated CUT&RUN to probe for MYC genomic localization and relevant histone PTMs with RNA-seq analysis and discovered a subset of genes upregulated in MYC and TGFb-driven lines that are targets of the histone demethylase KDM2B. Loss of function mutations in KDM2B occur in G3MB patients, indicating that KDM2B deregulated genes are critical in G3MB. We postulate that epigenetic remodeling via MYC and recruitment of other MYC-interacting cofactors to KDM2B targets culminates in transcriptional changes that lead to aggressive disease. Overall, our studies provide important insight on identifying new therapeutic avenues for patients with 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 score0.002
Threshold uncertainty score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.295
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
Published2023
Admission routes1
Has abstractyes

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