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Record W2742157260 · doi:10.1158/1538-7445.am2017-4898

Abstract 4898: eIF4E reshapes the surface of migrating AML cells through regulating Hyaluronic Acid synthesis & CD44 expression

2017· article· en· W2742157260 on OpenAlexaff
Hiba Ahmad Zahreddine, Biljana Kraljacic-Culjkovic, Valbona Cali, Mark Lauer, Lucy Skrabanek, Nabilah Khan, Ronald J. Midura, Leandro Cerchietti, Vincent Hascall, Craig T. Jordan

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsEIF4ECell biologyFilopodiaCellCD44PseudopodiaBiologyChemistryMolecular biologyMessenger RNATranslation (biology)Biochemistry

Abstract

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Abstract Formation of cell surface protrusions has long been associated with tumor cell migration, metastasis & bone marrow homing & retention. It was shown that increased expression of endogenous or exogenous hyaluronic acid synthesizing enzyme 3 (HAS3) induces growth of microvillus-like cell surface protrusions. Some of the biological signals triggered by HA are dependent on its recognition by the cell surface receptor CD44. In our studies we observe that overexpression of the eukaryotic translation initiation factor 4E (eIF4E) increases formation of cell surface protrusions resembling those produced by HAS3 upregulation. eIF4E regulates mRNA export & translation through binding to the m7G cap of mRNA in the nucleus & the cytoplasm, respectively. Strikingly, analysis of our two complimentary screens (immunoprecipitation of mRNAs bound to eIF4E in the nucleus, and mRNA export assay with ribavirin, an established inhibitor of eIF4E) that we carried out to identify candidate eIF4E mRNA export targets, showed that nearly all the enzymes involved in HA synthesis as well as CD44. Here, we hypothesize that eIF4E regulates HA synthesis & CD44 overexpression to reshape the surface of cancer cells producing HA-rich microvillus-like pseudopods. Following validation of the positive hits, we used immunofluorescence staining with biotinylated HA binding protein (HABP) to determine the effect of eIF4E expression on protrusion formation. Our data revealed that eIF4E overexpression increased formation of HA-rich cell surface protrusions & was correlated with increased invasiveness of eIF4E overexpressing cells in in vitro matrigel assay, compared to respective controls. Colocalization studies using confocal microscopy indicated that protrusions positively stained for CD44. Further, pharmacological inhibition with ribavirin and genetic knockdown of eIF4E (or HAS3/CD44 in the context of eIF4E overexpression) abrogated protrusion formation and decreased the invasion capacity of eIF4E overexpressing cells. Together, these data indicate that eIF4E modulates protrusion formation & tumor invasion through coordinately regulating the export of RNAs in the CD44-HA regulon. To establish the clinical relevance of our findings in AML, we examined primary AML specimens with high eIF4E levels for expression of HA synthesizing enzymes, CD44 & we directly measured HA using confocal methods. This comparison showed that these pathways are dysregulated in AML patients & that their inhibition correlates with response to eIF4E inhibition by ribavirin. While HA has long been considered as a component of the tumor microenvironment required for the migration of cancer cells though interaction with surface CD44, our results provide a novel role for eIF4E in the motility & bone marrow homing. These findings offer a rationale for potentially inhibiting tumor cell metastasis through the combinatorial inhibition of eIF4E and CD44 or HAS3. Citation Format: Hiba Zahreddine, Biljana Kraljacic-Culjkovic, Valbona Cali, Mark Lauer, Lucy Skrabanek, Nabilah Khan, Ronald Midura, Leandro Cerchietti, Vincent Hascall, Craig Jordan. eIF4E reshapes the surface of migrating AML cells through regulating Hyaluronic Acid synthesis & CD44 expression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4898. doi:10.1158/1538-7445.AM2017-4898

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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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.148
GPT teacher head0.428
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 teacher head, not a consensus.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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