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Class I/IIb-Selective HDAC Inhibitor Exhibits Oral Bioavailability and Therapeutic Efficacy in Acute Myeloid Leukemia

2019· article· en· W2996612587 on OpenAlexafffund
Andrew E. Shouksmith, Justyna M. Gawel, Nabanita Nawar, Diana Sina, Yasir S. Raouf, Shazreh Bukhari, Liying He, Alexandra E Johns, Pimyupa Manaswiyoungkul, Olasunkanmi O. Olaoye, Aaron D. Cabral, Abootaleb Sedighi, Elvin D. de Araujo, Patrick T. Gunning

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchMitacsCanada Research ChairsCanadian Cancer SocietyLeukemia and Lymphoma Society of Canada
KeywordsMyeloid leukemiaBioavailabilityPharmacologyLeukemiaBenzamideHistone deacetylase inhibitorCytotoxicityCancer researchChemistryMedicineHistone deacetylaseImmunologyBiochemistryIn vitroGeneHistoneStereochemistry

Abstract

fetched live from OpenAlex

The HDAC inhibitor 4-tert-butyl-N-(4-(hydroxycarbamoyl)phenyl)benzamide (AES-350, 51) was identified as a promising preclinical candidate for the treatment of acute myeloid leukemia (AML), an aggressive malignancy with a meagre 24% 5-year survival rate. Through screening of low-molecular-weight analogues derived from the previously discovered novel HDAC inhibitor, AES-135, compound 51 demonstrated greater HDAC isoform selectivity, higher cytotoxicity in MV4-11 cells, an improved therapeutic window, and more efficient absorption through cellular and lipid membranes. Compound 51 also demonstrated improved oral bioavailability compared to SAHA in mouse models. A broad spectrum of experiments, including FACS, ELISA, and Western blotting, were performed to support our hypothesis that 51 dose-dependently triggers apoptosis in AML cells through HDAC inhibition.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.261
Teacher spread0.253 · 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 teacher head, not a consensus.

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

Citations20
Published2019
Admission routes2
Has abstractyes

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