Met receptor tyrosine kinase transactivation is involved in proteinase-activated receptor-2-mediated hepatocellular carcinoma cell invasion
Bibliographic record
Abstract
The expression of proteinase-activated receptor (PAR)(2) in human hepatocellular carcinoma (HCC) was established by reverse transcription-polymerase chain reaction, confocal immunofluorescence and electron microscopy in permanent cell lines, primary HCC cell cultures and HCC tumor tissue. Stimulation of HCC cells with trypsin and the PAR(2)-selective activating peptide, 2-furoyl-LIGRLO-NH(2), increased cell invasion across Matrigel. Both effects were blocked by a PAR(2)-selective pepducin antagonist peptide (pal-PAR(2)) and by PAR(2) silencing with specific small interfering RNA (siRNA). PAR(2)-initiated HCC cell invasion was also blocked by inhibiting the hepatocyte growth factor receptor (Met receptor tyrosine kinase) with the receptor-targeted kinase inhibitors, SU 11274 and PHA 665752, or by downregulation of Met with specific siRNA. The involvement of Met in PAR(2)-mediated HCC invasive signaling was further supported by the finding that treatment of HCC cells with trypsin or the PAR(2)-selective agonist peptide, 2-furoyl-LIGRLO-NH(2), stimulated Met activation-phosphorylation. In addition, Met-dependent stimulation of p42/p44 mitogen-activated protein Kinases was found to be critical for the PAR(2)-Met receptor tyrosine kinase-invasive signaling axis in HCC cells. Our study establishes an important link between the PAR(2) and Met receptor tyrosine kinase signaling in promoting HCC cell invasion.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".