Thrombin‐mediated hepatocellular carcinoma cell migration: Cooperative action via proteinase‐activated receptors 1 and 4
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
Proteinase-activated receptor-1 (PAR(1)), a thrombin receptor and the prototype of a newly discovered G-protein-coupled receptor subfamily, plays an important role in tumor development and progression. In this study, we documented the expression of the thrombin receptors PAR(1), PAR(3), and PAR(4) in permanent hepatocellular carcinoma (HCC) cell lines and primary HCC cell cultures. Stimulation of HCC cells with thrombin and the PAR(1)-selective activating peptide, TFLLRN-NH(2), increased transmembrane migration across a collagen barrier. This effect was blocked by the PAR(1) antagonist SCH 79797, confirming that the PAR(1) thrombin receptor subtype is involved in regulating hepatoma cell migration. In addition, the PAR(4)-selective agonist, AYPGKF-NH(2), also stimulated HCC cell migration whilst the PAR(4) antagonist, trans-cinnamoyl-YPGKF-NH(2), attenuated the effect of thrombin on HCC cell migration. PAR(1)- and PAR(4)-triggered HCC cell migration was blocked by inhibiting a number of key mediators of signal transduction, including G proteins of the G(i)/G(o) family, matrix metalloproteinases, ERK/MAPKinase, cyclic AMP-dependent protein kinase, Src tyrosine kinase, and the EGF receptor kinase. Our data point to a cooperative PAR(1)/PAR(4) signaling network that contributes to thrombin-mediated tumor cell migration. We suggest that a combined inhibition of coagulation cascade serine proteinases, the two PARs and their complex signaling pathways may provide a new strategy for treating hepatocellular carcinoma.
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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) | 0.001 | 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