MétaCan
Menu
Back to cohort
Record W2417470860 · doi:10.18632/oncotarget.9843

Biguanides sensitize leukemia cells to ABT-737-induced apoptosis by inhibiting mitochondrial electron transport

2016· article· en· W2417470860 on OpenAlexafffundabout
Juliana Vélez, Rongqing Pan, Jason T. C. Lee, Leonardo Enciso, Marta Fernández-Suárez, Jorge Eduardo Duque, Daniel F. Jaramillo, Catalina López, Ludis Morales, William G. Bornmann, Marina Konopleva, Gerald Krystal, Michael Andreeff, Ismael Samudio

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsCentre for Drug Research and DevelopmentBC Cancer Agency
FundersNational Institutes of HealthNational Cancer InstituteBC Cancer FoundationBC Cancer AgencyDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
KeywordsApoptosisLeukemiaMitochondrionMedicineCancer researchPharmacologyCell biologyImmunologyBiologyGenetics

Abstract

fetched live from OpenAlex

// Juliana Velez 1, 2 , Rongqing Pan 6 , Jason T.C. Lee 7 , Leonardo Enciso 2 , Marta Suarez 2 , Jorge Eduardo Duque 3 , Daniel Jaramillo 1 , Catalina Lopez 4 , Ludis Morales 1 , William Bornmann 5 , Marina Konopleva 6 , Gerald Krystal 7 , Michael Andreeff 6 , Ismael Samudio 1, 2, 8 1 Grupo de Terapia Celular y Molecular, Pontificia Universidad Javeriana, Bogotá, Colombia 2 Programa de Investigación e Innovación en Leucemia Aguda y Crónica (PILAC), Bogotá, Colombia 3 Centro Oncológico de Antioquia, Medellín, Colombia 4 Grupo de Terapia Regenerativa, Universidad de Caldas, Manizales, Colombia 5 Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 6 Section of Molecular Hematology and Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 7 Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, Canada 8 Centre for Drug Research and Development, Vancouver, Canada Correspondence to: Ismael Samudio, email: ismael.samudio@gmail.com Keywords: metformin, phenformin, leukemia, mitochondria, ABT 737 Received: February 16, 2016     Accepted: May 22, 2016     Published: June 06, 2016 ABSTRACT Metformin displays antileukemic effects partly due to activation of AMPK and subsequent inhibition of mTOR signaling. Nevertheless, Metformin also inhibits mitochondrial electron transport at complex I in an AMPK-independent manner, Here we report that Metformin and rotenone inhibit mitochondrial electron transport and increase triglyceride levels in leukemia cell lines, suggesting impairment of fatty acid oxidation (FAO). We also report that, like other FAO inhibitors, both agents and the related biguanide, Phenformin, increase sensitivity to apoptosis induction by the bcl-2 inhibitor ABT-737 supporting the notion that electron transport antagonizes activation of the intrinsic apoptosis pathway in leukemia cells. Both biguanides and rotenone induce superoxide generation in leukemia cells, indicating that oxidative damage may sensitize toABT-737 induced apoptosis. In addition, we demonstrate that Metformin sensitizes leukemia cells to the oligomerization of Bak, suggesting that the observed synergy with ABT-737 is mediated, at least in part, by enhanced outer mitochondrial membrane permeabilization. Notably, Phenformin was at least 10-fold more potent than Metformin in abrogating electron transport and increasing sensitivity to ABT-737, suggesting that this agent may be better suited for targeting hematological malignancies. Taken together, our results suggest that inhibition of mitochondrial metabolism by Metformin or Phenformin is associated with increased leukemia cell susceptibility to induction of intrinsic apoptosis, and provide a rationale for clinical studies exploring the efficacy of combining biguanides with the orally bioavailable derivative of ABT-737, Venetoclax.

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)0.000
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 score0.252
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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.

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".

Quick stats

Citations40
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueOncotargetSame topicMetabolism, Diabetes, and CancerFrench-language works237,207