Loss of Vascular Endothelial Growth Factor A Activity in Murine Epidermal Keratinocytes Delays Wound Healing and Inhibits Tumor Formation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The angiogenic cytokine vascular endothelial growth factor (VEGF)-A plays a central role in both wound healing and tumor growth. In the skin, epidermal keratinocytes are a major source of this growth factor. To study the contribution of keratinocyte-derived VEGF-A to these angiogenesis-dependent processes, we generated mice in which this cytokine was inactivated specifically in keratin 5-expressing tissues. The mutant mice were macroscopically normal, and the skin capillary system was well established, demonstrating that keratinocyte-derived VEGF-A is not essential for angiogenesis in the skin during embryonic development. However, healing of full-thickness wounds in adult animals was appreciably delayed compared with controls, with retarded crust shedding and the appearance of a blood vessel-free zone underneath the newly formed epidermis. When 9,12-dimethyl 1,2-benzanthracene was applied as both tumor initiator and promoter, a total of 143 papillomas developed in 20 of 23 (87%) of control mice. In contrast, only three papillomas arose in 2 of 17 (12%) of the mutant mice, whereas the rest merely displayed epidermal thickening and parakeratosis. Mutant mice also developed only 2 squamous cell carcinomas, whereas 11 carcinomas were found in seven of the control animals. These data demonstrate that whereas keratinocyte-derived VEGF-A is dispensable for skin vascularization under physiological conditions, it plays an important albeit nonessential role during epidermal wound healing and is crucial for the development of 9,12-dimethyl 1,2-benzanthracene-induced epithelial skin tumors.
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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 it