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Discovery of Selective Dual Inhibitors of Bromodomain Protein BRD4 and JAK2 for Treatment of Hematologic Malignancies

2016· article· en· W2750537303 on OpenAlexaff
Ram Shankar Upadhayaya, Raghava Reddy Kethiri, Avanish Vellanki, Jeff Lightfoot, Andrea Local, William G. Rice

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsAptose Biosciences (Canada)
Fundersnot available
KeywordsBromodomainBRD4Cancer researchBET inhibitorCancerOncogeneEpigeneticsBiologyChemistryCell cycleBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract The Bromodomain and Extra-Terminal (BET) proteins (BRD2, BRD3, BRD4, and BRDT) are functional readers of acetylated lysine residues of histones, and have emerged as potential therapeutic targets in hematologic cancers and solid tumors characterized by dysregulated epigenetic processes. Targeted inhibition of BET proteins has proven to be an effective strategy for transcriptional downregulation of c-MYC, an oncogene that is frequently activated or overexpressed in leukemias, lymphomas, and multiple myeloma. Of the BET family members BRD4 is the most extensively studied for its role in cancer, furthermore C-MYC downregulation by BET inhibitors is attributed to inhibition of enhancer binding by BRD4 (Delmore et al., Cell. 2011. 146:904-17). BRD4 is a critical factor in AML disease maintenance (Zuber et al., Nature. 2011. 478:524-8), and its suppression is the dominant mechanism of BET inhibitor JQ1 activity in AML (Rathert et al., Nature. 2015. 525:543-7). Recent reports have shown that BRD4/BET inhibitors and kinase inhibitors act synergistically in a range of cancer types (Sun et al., Blood. 2015, 126:1565-74; Stratikopoulos et al., Cancer Cell. 2015, 27:837-51). Therefore, optimizing for this synergy by prospectively designing and developing multi-targeting BRD4-kinase inhibitors may prolong therapeutic efficacy and overcome tumor resistance of single-activity BET and oncogenic kinase inhibitors. Dual inhibitors of BET proteins and Janus kinase 2 (JAK2), initially developed by Moffitt Cancer Center (Reuther et al., ASH 2015 Poster, Abstract #2826), demonstrated an opportunity for novel, potent dual inhibitors of BRD4 and JAK for treatment of myeloproliferative neoplasms (MPNs) and other disorders driven by the constitutively active somatic mutation, JAK2-V617F. Although JAK inhibitors such as ruxolitinib show clinical benefits in MPNs, these molecules demonstrate limited ability to induce remissions and are associated with significant toxicities such as myelosuppression. Therefore, selective JAK2 inhibitors that also target BRD4 hold promise as treatments of hematologic malignancies with improved activity and less off-target toxicity. While the dual inhibitor candidates from Moffitt exhibit strong potency, they possess a sub-optimal profile for inhibition of the thiamine transporter and other properties. Herein, we report that next generation, novel dual inhibitors of BRD4 and JAK2 have been discovered by Aptose, in a collaboration with Laxai Avanti Life Sciences (LALS), without observed thiamine transporter inhibition but with favourable drug-like properties. In biochemical assays, the Aptose dual inhibitor compounds exhibit IC50 values ranging from 82-678 nM for BRD4 (BD1) and 0.7-35 nM for JAK2. Compounds exhibited selectivity of 2-7 fold for BRD4 compared to other BRD isoforms, and 3-152 fold selectivity for JAK2 over JAK1 or JAK3. Cellular IC50 values of the compounds in antiproliferative assays ranged from 6.6 - 118 nM in AML (MV4-11) and from 171-721 nM in myeloma (MM1.S) cell lines. Candidate structures show good solubility and metabolic stability in human, rat and mouse liver microsomes. Structure-activity relationship studies are ongoing to improve biochemical and antiproliferative activity and drug like properties. Collectively, we demonstrate that a rational design approach can be used to generate potent molecules with combined BRD4/JAK2 inhibitory activities for treatment of hematologic cancers. Disclosures No relevant conflicts of interest to declare.

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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)0.0010.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.223
Teacher spread0.215 · 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".

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Citations3
Published2016
Admission routes1
Has abstractyes

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