Impaired tyrosine phosphorylation of membrane type 1-matrix metalloproteinase reduces tumor cell proliferation in three-dimensional matrices and abrogates tumor growth in mice
Bibliographic record
Abstract
Pericellular proteolysis of the extracellular matrix by membrane type 1-matrix metalloproteinase (MT1-MMP) confers tumor cells with the ability to proliferate within three-dimensional (3D) matrices and sustains tumor growth in mice. In this study, we show that in addition to its matrix-degrading activity, phosphorylation of MT1-MMP on its unique tyrosine residue located within its cytoplasmic sequence (Tyr573) may also participate to these processes. Fibrosarcoma cells expressing a proteolytically active but non-phosphorylable mutant of MT1-MMP showed a markedly reduced proliferation rate when embedded within 3D type I collagen matrices, this antiproliferative effect being correlated with arrest in the G(0)/G(1) phase of the cell cycle. Impaired tyrosine phosphorylation of MT1-MMP also inhibits anchorage-independent growth of HT-1080 cells in soft agar as well as their invasion of collagen barriers, two prominent attributes of tumor cells, suggesting a broad inhibitory effect of the MT1-MMP mutant on tumorigenesis. Accordingly, whereas HT-1080 cells formed well-vascularized tumors containing tyrosine-phosphorylated MT1-MMP, tumor growth was completely abolished by expression of the non-phosphorylable MT1-MMP mutant. These findings thus indicate a close co-operation between the matrix-degrading activity of MT1-MMP and tyrosine phosphorylation of its intracellular domain for tumor cell invasion and proliferation and suggest that the targeting of the intracellular signaling pathways leading to tyrosine phosphorylation of MT1-MMP may represent an unexpected alternative strategy for the inhibition of this enzyme.
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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".