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Record W2919299825 · doi:10.1182/blood-2018-99-115068

Metformintreatment Overcomes ATRA-Resistance in Acute Promyelocytic Leukemia and Increases FOXO3A Expression

2018· article· en· W2919299825 on OpenAlexaff
Diego A. Pereira‐Martins, César Alexander Ortiz Rojas, Pedro L. Franca‐Neto, Isabel Weinhäuser, Josiane Lilian dos Santos Schiavinato, Patrícia Vianna Bonini Palma, Camila Bonaldo, Luisa C A Koury, Mariane Cristina do Nascimento, Raul Antônio Morais Melo, Rosane Bittencourt, Kátia Bórgia Barbosa Pagnano, Ricardo Pasqüini, Evandro M. Fagundes, Ana Glória, Fábio R. Kerbauy, Maria de Lourdes Chauffaille, Armand Keating, Martin S. Tallman, Raul C. Ribeiro, Richard Dillon, Arnold Ganser, Bob Löwenberg, Peter J.M. Valk, Francesco Lo‐Coco, Miguel Á. Sanz, Nancy Berliner, Antonio R. Lucena‐Araujo, Eduardo Magalhães Rego

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsAcute promyelocytic leukemiaArsenic trioxideMedicineTretinoinIdarubicinInternal medicineMetforminCancer researchRetinoic acidApoptosisLeukemiaViability assayPeripheral blood mononuclear cellOncologyImmunologyCell cultureBiologyCytarabineIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction: FOXO3A is a transcription factor shown to be involved in all-trans retinoic acid (ATRA)-induced granulocytic differentiation and apoptosis in acute promyelocytic leukemia (APL). Its biological activity may be significantly enhanced upon metformin, raising the possibility that ATRA and Metformin may act synergistically; which could be useful to overcome ATRA resistance. Despite progress in APL treatment, approximately 10-15% of patients will relapse after treatment with ATRA and anthracyclines and frequently present with ATRA resistance. Relapsed patients respond well to arsenic trioxide (ATO) treatment, but the cost of ATO is a significant barrier in many countries. Aims: Here, we investigated the effects of in vitro treatment with ATRA plus metformin in APL cell lines and primary blasts, and quantified FOXO3A expression and correlated its levels with treatment outcome in a cohort of patients enrolled in the International Consortium on Acute Leukemia (ICAPL2006) study. Finally, we evaluated the effect of induced overexpression of FOXO3A gene in regards to cell viability and proliferation. Methods: Primary leukemic blasts from hCG-PMLRARα transgenic mice (TM; n=4) and APL patients (age, 25-47y; n=4) were treated with metformin alone (5mM/ 10mM) or in combination with ATRA (1µM) and evaluated for cell viability. In addition, 106 patients (age, 18-82y) with newly diagnosed APL enrolled in the ICAPL2006 study were included. As controls, eight samples of bone marrow mononuclear cells (BMMC) from healthy volunteers (age, 18-60y) were analyzed. To validate our data, FOXO3A transcript levels from an independent cohort was used (31 patients from Amazonia!, Probe n. 204131_s_at, and five normal BMMC samples included in the same databank). NB4/NB4R2 (ATRA-resistant) cell lines were transduced with FOXO3A or empty vector (control). After synchronization using double thymidine block, transduced cells were submitted to proliferation and cell cycle assays. For dose-response curves, cells were treated with graded concentrations of ATRA, ATO and metformin. For the apoptosis analysis, cells were treated with ATRA (1µM), metformin (5mM) and combination for 24, 48 and 72 hours. The granulocytic differentiation in response to ATRA treatment was evaluated based on the CD11b surface levels. Results: In primary cells (from TM/APL patients) a 2-fold reduction in viable cells was observed after metformin and metformin plus ATRA treatment (P<.05), compared to only 0.5-fold reduction rate using ATRA alone. In the clinical setting, APL patients expressed a lower absolute level of FOXO3A than normal BMMC (P<.001). These results were corroborated in an external validation cohort (P=.004). The retrospective analysis of patients enrolled in the ICAPL2006 study revealed that the baseline characteristics were similar between patients with low and high FOXO3A levels. Low FOXO3A expression was associated with lower DFS (84%; 95% CI: 63-94%)(HR: 1.25, 95% CI: 0.64-10.4) and OS (76%; 95% CI: 63-84%) (HR: 1.43, 95% CI: 0.12-1.48). The overexpression of FOXO3A in APL cell lines was associated with reduced basal cell viability (P=.02), clonogenicity (P=.001), and proliferation (P=.001) in both APL cell lines. Subsequent cell cycle analysis showed no significant difference between FOXO3A-cells and controls in normal conditions and when treated with ATRA. Using a nonlinear regression analysis, IC50 for ATO was significantly lower for NB4-FOXO3A cells (0.27μM) than control (2.27µM), with no corresponding response for NB4R2 cell line (2µM for empty vector vs 1.46μM for NB4R2 FOXO3A). NB4 (IC50: 14mM) and NB4R2 (IC50: 4.2mM) FOXO3A cells presented higher sensibility to metformin treatment versus control group (IC50: 23mM for NB4; IC50: 22mM for NB4R2). For ATRA treatment alone, only NB4-FOXO3A presented increased sensitivity to ATRA (P=.001). In accordance, ATRA treatment (alone or in combination with metformin) increased the drug-induced apoptosis in a time-dependent manner (P<.05) in NB4-FOXO3A cells, but had no effect on NB4R2-FOXO3A, which presented increased apoptosis rate only with metformin treatment. The differentiation rate was higher in FOXO3A-expressing cells (P<.05). Conclusion: Based on clinical and functional data, the FOXO3A pathway could be an interesting target to overcome ATRA resistance in APL in offsetting where ATO is unavailable in low- and middle-income countries. Disclosures Tallman: BioSight: Other: Advisory board; Daiichi-Sankyo: Other: Advisory board; ADC Therapeutics: Research Funding; AROG: Research Funding; AbbVie: Research Funding; Cellerant: Research Funding; Orsenix: Other: Advisory board. Ganser:Novartis: Membership on an entity's Board of Directors or advisory committees. Lowenberg:Editorial Board "European Oncology & Haematology": Membership on an entity's Board of Directors or advisory committees; Royal Academy of Sciences and Arts, The Netherlands: Membership on an entity's Board of Directors or advisory committees; Supervisory Board, National Comprehensive Cancer Center (IKNL), Netherlands: Membership on an entity's Board of Directors or advisory committees; Clear Creek Bio Ltd: Consultancy, Honoraria; international Scientific Advisory Board, Institute Gustave Roussy, Paris: Membership on an entity's Board of Directors or advisory committees; Chairman Scientific Committee and Member Executive Committee, European School of Hematology (ESH, Paris, France): Membership on an entity's Board of Directors or advisory committees; Elected member, Royal Academy of Sciences and Arts, The Netherlands: Membership on an entity's Board of Directors or advisory committees; Editorial Board "The Netherlands Journal of Medicine": Membership on an entity's Board of Directors or advisory committees; Editorial Board "International Journal of Hematology": Membership on an entity's Board of Directors or advisory committees; "Up-to-Date", section editor leukemia: Membership on an entity's Board of Directors or advisory committees; Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Astex: Consultancy; Chairman, Leukemia Cooperative Trial Group HOVON (Netherlands): Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.

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 head0.005
GPT teacher head0.227
Teacher spread0.222 · 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
Published2018
Admission routes1
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