The Role of Tissue Inhibitors of Metalloproteinases in Tumorigenesis and Metastasis
Bibliographic record
Abstract
Tissue inhibitors of metalloproteinases (TIMPs) are classically known for regulating members of the metzincin protease family and are well recognized for their inhibitory effects in cancer development and progression. Despite their common evolutionary structure, the four TIMP proteins have unique properties and regulation, and produce distinct phenotypes when ablated. A comprehensive assessment of their function during tumorigenesis reveals substantial effects on cell proliferation, apoptosis, angiogenesis, invasion, and metastasis as well as a potential role in genomic instability. The TIMPs universally inhibit angiogenesis, invasion, and metastasis, but their specific effects on cell proliferation and apoptosis are both tissue specific and context dependent. They exert these effects in a metalloproteinase-dependent as well as metalloproteinase-independent manner. Knowledge gained from these biological studies provides a foundation for the full understanding of TIMP function in physiology and various pathologies as well as for the development of the next generation of therapeutic metalloproteinase inhibitors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".