Downstream of mTOR: Translational Control of Cancer
Bibliographic record
Abstract
mTOR is a key regulator of a number of critical cellular processes including growth, proliferation, cytoskeletal organization, and differentiation. mTOR mediates its effects on these processes by regulating mRNA translation initiation via phosphorylation of its major downstream targets: the 4E binding proteins (4E-BPs) and the ribosomal protein S6 kinases. Dysregulation of mTOR signalling leads to increased cellular growth and proliferation and is implicated in a number of human cancers. In particular, increased mTOR signalling is associated with human cancers that are characterized by loss or mutations in tumour suppressors such as LKB1, PTEN, and TSC1/2, which are responsible for suppressing the PI3K/AKT pathway. The regulation of mRNA translation by mTOR will be the focus of this chapter. In particular, the role of the translational machinery downstream of mTOR in oncogenesis will be discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.019 |
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 source (direct Gemma or distilled Codex), 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".