Abstract 4898: eIF4E reshapes the surface of migrating AML cells through regulating Hyaluronic Acid synthesis & CD44 expression
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".