[HIF-1 activation during tumor progression: implications and consequences].
Bibliographic record
Abstract
The transcription factor hypoxia-inducible factor 1 (HIF-1) regulates the expression of more than 70 genes in response to hypoxic stress. Composed of two subunits, HIF-1 activity is modulated by the availability of the HIF-1alpha protein subunit. The stability and transcriptional activity of this extremely labile protein is affected by post-translational modifications. Hypoxia and non-hypoxic stimuli allow the formation of an active HIF-1 complex in many types of human cancers. However, the exact implication of HIF-1 activation in tumor progression is still not precisely understood. The HIF-1 dependent genic products are involved in tumoral angiogenesis, in the metabolic switch to anaerobic glycolysis and in prosurvival, proliferative and apoptotic mechanisms. In this review, we will focus on the hypoxic and non-hypoxic stimuli leading to HIF-1 activation and in its implication in tumor processes. We will highlight the most recent developments in molecular and cellular signaling that are upstream and downstream of HIF-1.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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".