How does oncogene transformation render tumor cells hypersensitive to nutrient deprivation?
Bibliographic record
Abstract
Oncogene activation leads to cellular transformation by deregulation of biological processes such as proliferation and metabolism. Paradoxically, this can also sensitize cells to nutrient deprivation, potentially representing an Achilles' heel in early stage tumors. The mechanisms underlying this phenotype include loss of energetic and redox homeostasis as a result of metabolic reprogramming, favoring synthesis of macromolecules. Moreover, an emerging mechanism involving the deregulation of mRNA translation elongation through inhibition of eukaryotic elongation factor 2 kinase (eEF2K) is presented. The potential consequences of eEF2K deregulation leading to cell death under nutrient depletion are discussed. Finally, the relevance of eEF2K as a master regulator of the response to nutrient deprivation in vivo, and its potential exploitation for therapeutic targeting of cancers, are elaborated. Overall, a better understanding of the adaptive mechanisms allowing tumors to circumvent oncogene-induced hypersensitivity to nutrient deprivation is a promising avenue for uncovering novel therapeutic targets in cancers.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".