Regulation of collagen-derived antiangiogenic factors by p53
Bibliographic record
Abstract
BACKGROUND: Evidence suggests that the p53 tumor suppressor protein functions, in part, by limiting tumor angiogenesis. This effect is partly mediated by the ability of p53 to increase production of endogenous angiogenesis inhibitors, such as the collagen-derived antiangiogenic factors (CDAFs), endostatin and tumstatin. OBJECTIVE: To review the clinical and therapeutic implications of CDAFs and their regulation by p53. METHODS: We highlight the inhibitory role of CDAFs in angiogenesis and summarize evidence that p53 regulates the transcriptional program leading to their expression, synthesis, assembly and activation. RESULTS/CONCLUSION: The p53 gene is mutated in half of all human tumors and such cancers would be predicted to produce lower levels of CDAFs. We therefore believe that p53 function can be partially compensated by therapeutic use of CDAFs, which offers a promising new avenue for cancer treatment.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".