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Record W2978658748 · doi:10.1101/790287

Epigenetic regulation of protein translation in <i>KMT2A</i> -rearranged AML

2019· preprint· en· W2978658748 on OpenAlexaff
Alexandra Lenard, Hongbo Xie, Simone S. Riedel, Zuo‐Fei Yuan, Nan Zhu, Tobias Neff, Kathrin M. Bernt

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsSmiths Detection (Canada)
FundersUniversity of Colorado DenverChildren's Hospital ColoradoNational Heart, Lung, and Blood InstituteUniversity of PennsylvaniaChildren's Hospital of Philadelphia
KeywordsEZH2PRC2Histone methyltransferaseMethyltransferaseHistone H3BiologyCancer researchEpigeneticsHistoneMethylationGeneticsGene

Abstract

fetched live from OpenAlex

ABSTRACT Inhibition of the histone methyl-transferase DOT1L (KMT4) has shown encouraging activity in preclinical models of KMT2A ( MLL) -rearranged leukemia. The DOT1L inhibitor pinometostat (EPZ5676) was well tolerated in early phase clinical trials and showed modest clinical activity, including occasional complete responses (CRs) as single agent. These studies support the development of combinatorial therapies for KMT2A -rearranged leukemias. Here, we investigated two novel combinations: dual inhibition of the histone methyltransferases DOT1L and EZH2, and the combination of a DOT1L inhibitor with the protein synthesis inhibitor homoharringtonine (HHR). EZH2 is the catalytic histone methyltransferase in the polycomb repressive complex 2 (PRC2), and inhibition of EZH2 has reported preclinical activity in KMT2A -rearranged leukemia. We found that the H3K79 and H3K27 methyl marks are not dependent on each other, and that DOT1L and EZH2 inhibition affect largely distinct gene expression programs. In particular, the KMT2A/DOT1L target HOXA9, which is commonly de-repressed as a consequence of PRC2 loss or inhibition in other contexts, was not re-activated upon dual DOT1L/EZH2 knockout or inhibition. Despite encouraging data in murine KMT2A-MLLT3 transformed cells suggesting synergy between DOT1L and EZH2 inhibition, we found both synergistic and antagonistic effects on a panel of human KMT2A rearranged cell lines. Combinatorial inhibition of DOT1L and EZH2 is thus not a promising strategy. We identified opposing effects on ribosomal gene transcription and protein translation by DOT1L and EZH2 as a mechanism that is partially responsible for observed antagonistic effects. The effects of DOT1L inhibition on ribosomal gene expression prompted us to evaluate the combination of EPZ5676 with a protein translation inhibitor. EPZ5676 was synergistic with the protein translation inhibitor homoharringtonine (HHR), supporting further preclinical/clinical development of this combination.

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 score0.005

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)0.0020.000

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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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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