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Record W2021274795 · doi:10.1080/10408360801973244

The Role of Tissue Inhibitors of Metalloproteinases in Tumorigenesis and Metastasis

2008· review· en· W2021274795 on OpenAlexaff
William Cruz‐Muñoz, Rama Khokha

Bibliographic record

VenueCritical Reviews in Clinical Laboratory Sciences · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsAngiogenesisMatrix metalloproteinaseMetastasisCarcinogenesisBiologyMetalloproteinaseCancer researchTissue inhibitor of metalloproteinaseContext (archaeology)CancerCell growthCell biologyGenetics

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.072
GPT teacher head0.434
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations127
Published2008
Admission routes1
Has abstractyes

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