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Record W4312948438 · doi:10.18103/mra.v10i9.3020

Eradication of leukemia stem cells by inhibitors of DNA methyltransferase, EZH2 and G9a histone methyltransferases

2022· article· en· W4312948438 on OpenAlex
Richard L. Momparler, Sylvie Côté, Louise F. Momparler

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Research Archives · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsEZH2MethyltransferaseDNA methylationEpigeneticsGene silencingHistone methyltransferaseBiologyMethylationCancer researchDNA methyltransferaseEpigenetic therapyHistone methylationMolecular biologyCancer epigeneticsDNMT1GeneGeneticsGene expression

Abstract

fetched live from OpenAlex

Complete eradication of leukemic stem cells (LSCs) in patients with acute myeloid leukemia (AML) is required for curative therapy. Epigenetic alterations that involve gene-silencing by DNA methylation by DNMT1, methylation of H3K27 by EZH2 histone methyltransferase (HMT) and methylation of H3K9 by G9a HMT may play a major role in the development of AML. The major action of these epigenetic alterations is the silencing of the genes that program differentiation of AML cells. Inhibitors of DNA and histone methylation have the potential to reverse this block in differentiation. If tumor suppressor genes (TSGs) contain two gene-silencing markers, such as DNA methylation and H3K27me3, they may not be fully reactivated with only an inhibitor of DNA methylation, such as 5-aza-2’-deoxycytidine (5-AZA-CdR), but may also require an inhibitor of EZH2. In support of this model is the synergistic antileukemic action as shown by a colony assay on AML cells using 5-AZA-CdR in combination with 3-deazaneplanocin A (DZNep), a potent inhibitor of EZH2. A similar type of interaction can occur when TSGs are silenced by DNA methylation and the G9a methylation of H3K9me2, a second gene-silencing marker. Treatment of these AML cells with 5-AZA-CdR and BIX01294, an inhibitor of G9a, also results in a synergistic antileukemic action. Leukemic cells that contain 3 different gene-silencing markers: DNA methylation, H3K27me3 and H3K9me2 may require 3 different inhibitors for maximal antineoplastic activity. This result was observed when the AML cells were treated in with 5-AZA-CdR, DZNep and BIX01294. The aim of this study was to demonstrate that epigenetic agents that target DNA and histone methylation have remarkable antineoplastic activity against myeloid leukemia cells. The second aim was to propose a dose-schedule for these epigenetic agents that can be evaluated in a clinical trial in patients with advanced AML for its potential to eradicate LSCs. One of the most sensitive targets for chemotherapeutic intervention in LSCs is the block in differentiation due to gene-silencing by DNA and histone methylation. Epigenetic agents that have the potential to reverse this block merit clinical investigation with high priority.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.073
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.323
Teacher spread0.304 · 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