Twist Is Required for Thrombin-Induced Tumor Angiogenesis and Growth
Bibliographic record
Abstract
Twist, a master regulator of embryonic morphogenesis, induces functions that are also required for tumor invasion and metastasis. Because thrombin contributes to the malignant phenotype by up-regulating tumor metastasis, we examined its effect on Twist in five different tumor cell lines and two different endothelial cell lines. Thrombin up-regulated Twist mRNA and protein in all seven cell lines. Down-regulation of Twist in B16F10 tumor cell lines led to a approximately 3-fold decrease in tumor growth on a chorioallantoic membrane assay and approximately 2-fold decrease in syngeneic mice. Angiogenesis was decreased approximately 45% and 36%, respectively. The effect of Twist on angiogenesis was further examined and compared with the effect of thrombin. In studies using a Twist-inducible plasmid, several identical vascular growth factors and receptors were up-regulated approximately 2- to 3-fold in tumor cells as well as human umbilical vascular endothelial cells by both Twist as well as thrombin (vascular endothelial growth factor, KDR, Ang-2, matrix metalloproteinase 1, GRO-alpha, and CD31). Thrombin-induced endothelial cell chemotaxis and Matrigel endothelial cell tubule formation were similarly regulated by Twist. Thus, thrombin up-regulates Twist, which is required for thrombin-induced angiogenesis as measured by endothelial cell migration, Matrigel tubule formation, and tumor angiogenesis.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".