Hypoxia Signaling and the Metastatic Phenotype
Bibliographic record
Abstract
Conditions of poor oxygenation (hypoxia) are present in the majority of solid human tumors and are associated with poor patient prognosis due to both hypoxia-mediated resistance to treatment, and to hypoxia induced biological changes that promote increased malignancy, including metastasis. Tumor cells respond to hypoxia by activating several oxygen-sensitive signaling pathways that include the hypoxia inducible factor 1/2 (HIF1/2) signalling pathways and the unfolded protein response (UPR), which alter gene expression to promote adaptation and survival during hypoxic conditions. Furthermore, these hypoxia responsive pathways can lead to changes in gene expression and cellular phenotype that influence the potential of cancer cells to metastasize. However, the hypoxia-induced signaling events that promote tumor metastasis are still relatively poorly understood. Previous studies have largely focused on the contribution of the HIF signaling pathway to hypoxia-mediated metastasis. However, recent evidence demonstrates that hypoxic activation of the UPR is also an important mediator of metastasis.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".