Regulation of urokinase plasminogen activator/plasmin‐ mediated invasion of melanoma cells by the integrin vitronectin receptor αVβ3
Bibliographic record
Abstract
The integrin vitronectin receptor alphavbeta3 is a mediator of cellular migration and invasion and has been identified as a marker of progression in malignant melanoma. Using a human melanoma model, we have previously shown that this receptor was coordinately expressed with the receptor for the urokinase plasminogen activator (uPAR). In our present study, the link between these receptors was further investigated by assessing the effect of alphavbeta3 ligation on uPAR transcription and function. Using the reverse transcription-polymerase chain reaction, we found that receptor ligation by immobilized monoclonal antibodies (MAbs) induced a rapid increase (up to 4.5 fold) in uPAR mRNA levels, which was maximal 4 hr after cell attachment. An increase was also noted in plasminogen activator inhibitor type-1 (PAI-1) mRNA levels (2.7-fold), but none was noted in uPA levels. In addition, ligation of alphavbeta3 resulted in a significant increase in cell surface-associated plasmin levels, which coincided with a 2- to 3-fold increase in cell invasion as measured in the Matrigel invasion assay. This increase in invasion could in turn be abolished by antibodies directed to uPA and uPAR and by the plasmin inhibitors epsilon-aminocaproic acid and aprotinin. Furthermore, ligation of the integrin alphavbeta3 triggered a rapid increase of up to 12-fold in total cellular PKC activity, and this coincided with the redistribution of PKCbeta, but not PKCalpha, from the cytosol to the membrane. Treatment of the cells with the PKCbeta-specific inhibitor LY379196 blocked uPAR and PAI-1 mRNA induction and reduced the increase in cell invasion due to alphavbeta3 ligation, confirming the involvement of this isoform in the response. The results provide evidence that the vitronectin receptor can enhance invasion by regulating the uPAR/uPA/plasmin system of proteolysis and implicate PKCbeta as an intermediate in the activation pathway.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".