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Abstract A073 Epigenetic control of neuroblastoma differentiation through inhibition of the histone acetyltransferases KAT6A and KAT6B

2024· article· en· W4402266611 on OpenAlexaboutno aff
Nina Weichert‐Leahey, Thomas Look

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsnot available
Fundersnot available
KeywordsHistone AcetyltransferasesEpigeneticsHistoneCancer researchBiologyGeneticsChemistryDNAGene

Abstract

fetched live from OpenAlex

Abstract Retinoic acid re-organizes the enhancers regulating the expression of these key transcription factors in neuroblastoma and establishes a new differentiated cell state characterized by MYCN downregulation and proliferative arrest. However, the epigenetic and growth suppressing effects of retinoic acid are completely reversible in vitro, leading to cell proliferation. We sought to determine if retinoid-induced differentiation can be forced to progress to terminal neuronal maturation by the addition of inhibitors of enzymes modifying the epigenome. We conducted a drug screen using more than 450 epigenetic modifiers to treat neuroblastoma cells either with each compound alone or in combination with retinoic acid to determine whether any compound augments the antiproliferative effects of retinoic acid. We found that an inhibitor of the histone acetyltransferases KAT6A/B synergistically inhibits neuroblastoma growth in combination with retinoic acid in vitro and enhances neuroblastoma differentiation. We used a xenograft model of retinoid-sensitive neuroblastoma cells in mice to test if the combination treatment with isotretinoin and a KAT6 inhibitor is more effective than isotretinoin alone to induce permanent neuroblastoma differentiation in vivo. We found that isotretinoin is very effective in suppressing neuroblastoma proliferation, however its effects are completely reversible upon drug removal leading to rapid tumor re-growth. In contrast, when isotretinoin is combined with a KAT6 inhibitor, tumors cannot re-grow after isotretinoin removal and remain differentiated. In conclusion, our studies nominate KAT6A/B inhibition combined with isotretinoin as a promising approach to improve outcome for patients with neuroblastoma. Citation Format: Nina Weichert-Leahey, Thomas Look. Epigenetic control of neuroblastoma differentiation through inhibition of the histone acetyltransferases KAT6A and KAT6B [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A073.

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 score0.009

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)0.0030.001

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 head0.027
GPT teacher head0.346
Teacher spread0.318 · 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
Published2024
Admission routes1
Has abstractyes

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