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The Eukaryotic Translation Initiation Factor eIF4E, a Recently Identified Therapeutic Target In AML, Is a Direct Transcriptional Target of NFkB

2010· article· en· W2533640475 on OpenAlexaff
Fadi Hariri, Meztli Arguello, Biljana Čuljković, Abdellatif Amri, Katherine L. B. Borden

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsEIF4ECancer researchChromatin immunoprecipitationBiologyEukaryotic translationMyeloid leukemiaTranslation (biology)PromoterGene expressionMessenger RNAGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 3146 It has been well observed that NFκB activity is elevated in a wide range of hematopoietic malignancy including acute myeloid leukemia (AML). However, the downstream effectors that mediate the biological effects of NFκB are not well described. In the present study, we demonstrate that the eukaryotic translation initiation factor eIF4E is a direct transcriptional target of NFκB. Elevated levels of eIF4E correlate with oncogenic transformation in in-vitro and in-vivo models and are associated with poor prognosis in several cancer types including AML. In a Phase II clinical trial in poor prognosis M4 and M5 AML patients, we demonstrated that the anti-viral drug, ribavirin, targeted eIF4E activity in patients correlating with clinical benefit including remissions and blast responses. Below, we describe the first steps in understanding the dysregulation of eIF4E expression in hematological malignancy. Examination of the human eIF4E promoter proximal region revealed the presence of putative κB sites proximal to the transcriptional start region. Given this, we hypothesized that eIF4E was an inducible target of NFκB. First, we tested whether eIF4E expression was modulated in response to NFκB stimulation by several agents including TNFα and PMA. We carried these studies out in multiple cell lines including BJAB, Jurkat and fibroblasts. We found that PMA or TNFα treatment led to substantial increases in eIF4E levels versus untreated controls. Electrophoretic mobility shift assays (EMSA) and chromatin immunoprecipitation (ChIP) experiments demonstrated p65 loading on the eIF4E promoter. This binding correlated with a transcriptionally active complex. Importantly, eIF4E levels were not elevated upon stimulation in p65-/- fibroblasts whereas elevation was observed in control fibroblasts. Further, expression of a dominant negative form of the inhibitor of NFκB, IκB (IκB2NΔ4), substantially increased the expression of eIF4E. Luciferase reporter assays confirm the element is necessary and sufficient for activation of eIF4E. Importantly, this p65 binding element in the eIF4E gene is evolutionarily conserved in mammals. Finally, using EMSA, we observed that this eIF4E promoter element is in active NFκB complexes in M4 and M5 primary AML specimens. We examined the physiological relevance of these findings in primary M4/M5 AML specimens and AML cell lines. The use of certain demethylase inhibitors such as azacytidine have been reported to have undesirable off target effects, including the activation of NFκB. Consistent with these reports, we observe that treatment with 3 uM azacytidine leads to elevated p65 levels and furthermore, elevated eIF4E levels. Consistently, this led to the upregulation of several eIF4E target genes including myeloid cell leukemia protein Mcl-1 and anti-apoptotic proteins such as mdm2. The addition of the eIF4E inhibitor ribavirin led to reduction in these eIF4E targets with no change in eIF4E levels. Consistently, in primary colony assays, azacytidine (3 uM) alone did not substantially reduce colonies in M4/M5 AML specimens relative to untreated cells, whereas the addition of a combination of ribavirin and azacytidine reduced growth 2 to 10 fold. These findings strongly suggest a physiological link between NFκB and eIF4E and furthermore, have implications for the design of novel therapeutic modalities. For instance, ribavirin could substantially dampen unwanted proliferative effects of azacytidine; thus improving its efficacy. This report is the first direct link ever observed between the NFκB pathway and eIF4E and thus, between NFkB and protein translation & mRNA export. Remarkably, most of the genes regulated at the level of mRNA export or translation by eIF4E are targets at the transcriptional level by NFκB. These include VEGF, cyclin D1, mdm2 and Mcl-1. In this way, the NFκB pathway is powerfully positioned to amplify the effects of eIF4E on post-transcriptional gene expression by both promoting the expression of eIF4E and its downstream effectors. Thus, NFκB can amplify the proliferation and survival pathways governed by eIF4E at multiple levels. Disclosures: No relevant conflicts of interest to declare.

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 score0.007

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)0.0020.001

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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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
Published2010
Admission routes1
Has abstractyes

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