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Record W3083099135 · doi:10.1158/1538-7445.am2020-6559

Abstract 6559: Novel anti-myeloma potential of CAPE analogs: Downregulation of IKZF1-IRF4-MYC axis

2020· article· en· W3083099135 on OpenAlexaff
Alli Murugesan, Gregoire Lasalle-Claux, Lauren Hogan, Elise Vaillancourt, Ayyoub Selka, Katie Luiker, Andy Hong, Minji Kim, Mohamed Touaibia, Tony Reiman

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsSaint John Regional HospitalUniversité de MonctonUniversity of New Brunswick
Fundersnot available
KeywordsIRF4Cancer researchCyclin D1Multiple myelomaTranscription factorBiologyPlasma cellChromosomal translocationMolecular biologyImmunologyCancerGeneticsCell cycle

Abstract

fetched live from OpenAlex

Abstract Background: Multiple myeloma (MM) is the second most common hematological malignancy and an incurable bone marrow cancer so far. The hallmark of myeloma is chromosomal translocations that transform plasma cells into malignant myeloma cells. 50-75% of myeloma patients exhibit translocations at the immunoglobulin heavy chain (IgH) locus juxtaposing oncogenes from partner chromosome under the control of strong 3' IgH enhancers. Overexpression of oncogenes such as Cyclin D1, Cyclin D3, interferon regulatory factor (IRF4) etc. occurs, depending on the translocating partner locus. We have earlier reported that elevated expression of octameric binding protein-2 (OCT2), a key transcription factor in IgH translocations as a poor prognostic factor and shown its association with reduced survival in MM patients. IRF4 is another indispensable transcription factor for plasma cell differentiation, and its juxtaposition with IgH locus leads to IRF4 overexpression mediated tumorigenesis. Both OCT2 and IRF4 are regulated by the transcription factor, nuclear factor kappa B (NF-κB). Current chemotherapeutics exhibit several side effects, and face the challenge of chemoresistance, thus warranting the need for novel therapeutics for myeloma. Caffeic acid phenethyl ester (CAPE) is an active principle of propolis from honeybee hives, with potent NF-κB inhibitory activity. Hence, we synthesized and evaluated the structure-activity relationship of twenty-one CAPE analogs for their anti-myeloma potential. Methods: Human myeloma cell lines, lenalidomide, CAPE and its analogs were used for the study. Myeloma cell growth inhibition by CAPE analogs was determined by PrestoBlue cell viability assays. Effect of CAPE analogs on IRF4, OCT2, CyclinD3, caspase-3, Ikaros (IKZF1), MYC levels were evaluated by qRT-PCR and/or immunoblotting methods; apoptosis induction detected by Annexin V-PI flow cytometry assays. Results: Cyclohexylethyl and two phenpropyl ester analogs exhibited high myeloma cell growth inhibition in comparison with CAPE and lenalidomide. IRF4 was significantly downregulated both at mRNA and protein levels by the phenpropyl ester analog that demonstrated a remarkable increase in cleaved caspase-3 levels and apoptotic cell number. For the first time, we have demonstrated the ability of CAPE analogs to decrease OCT2, IKZF1, IRF4 and MYC levels in myeloma cells. Downregulation of the IKZF1-IRF4-MYC axis by CAPE and its key analogs revealed their novel anti-myeloma mechanism of action. Furthermore, the lead analogs showed no adverse cytotoxic effect on normal human mononuclear or naïve B-cells, also exhibited appropriate in silico pharmacokinetic properties and drug-likeness. Conclusion: Thus, our findings suggest the promising application of CAPE analogs to target Ikaros/IRF4 addiction, the so-called Achilles heel of myeloma, thereby leading to better therapeutic outcomes. Citation Format: Alli Murugesan, Gregoire Lasalle-Claux, Lauren Hogan, Elise Vaillancourt, Ayyoub Selka, Katie Luiker, Andy Hong, MinJi Kim, Mohamed Touaibia, Tony Reiman. Novel anti-myeloma potential of CAPE analogs: Downregulation of IKZF1-IRF4-MYC axis [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6559.

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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 score0.004
Threshold uncertainty score0.013

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)0.0040.001

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 head0.055
GPT teacher head0.335
Teacher spread0.280 · 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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Citations0
Published2020
Admission routes1
Has abstractyes

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