TAp73 suppresses tumor angiogenesis through repression of proangiogenic cytokines and HIF-1α activity
Bibliographic record
Abstract
The p53-family member TAp73 is known to function as a tumor suppressor and regulates genomic integrity, cellular proliferation, and apoptosis; however, its role in tumor angiogenesis is poorly understood. Here we demonstrate that TAp73 regulates tumor angiogenesis through repression of proangiogenic and proinflammatory cytokines. Importantly, loss of TAp73 results in highly vascularized tumors, as well as an increase in vessel permeability resulting from disruption of vascular endothelial-cadherin junctions between endothelial cells. In contrast, loss of the oncogenic p73 isoform ΔNp73 leads to reduced blood vessel formation in tumors. Furthermore, we show that up-regulated ΔNp73 levels are associated with increased angiogenesis in human breast cancer and that inhibition of TAp73 results in an accumulation of HIF-1α and up-regulation of HIF-1α target genes. Taken together, our data demonstrate that loss of TAp73 or ΔNp73 up-regulation activates the angiogenic switch that stimulates tumor growth and progression.
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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) | 0.000 | 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) | 0.001 | 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 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".