Eukaryotic translation initiation factor 4E as a novel therapeutic target in hematological malignancies and beyond
Bibliographic record
Abstract
INTRODUCTION: The eukaryotic translation initiation factor 4E (eIF4E) is a key regulator of protein synthesis, and an oncogene. Its expression and activity are frequently elevated in cancer, and have been shown to correlate with poor prognosis. Efforts to target eIF4E have thus yielded much interest, with some clinical success. AREAS COVERED: We provide an overview of eIF4E function and regulation, and its role in hematological malignancies and solid tumors. Activation of eIF4E via upstream signaling pathways that are frequently deregulated in cancer and the role of eIF4E phosphorylation are discussed. We present an updated review of different approaches to target eIF4E function in the lab and in the clinic. EXPERT OPINION: The prospect of effectively targeting eIF4E in cancer is very attractive, because eIF4E is a common downstream node on which multiple oncogenic signaling pathways converge. However, efforts to do so have yielded limited clinical success so far. While active-site inhibitors of mammalian target of rapamycin show some promise, and inhibitors of eIF4E phosphorylation may emerge as clinical candidates, the only drug to date that has demonstrated antitumor activity associated with eIF4E inhibition in patients is ribavirin. Further studies will certainly aid the design of better compounds and rational combination therapies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".