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Record W1969655952 · doi:10.1006/cbir.2001.0858

OVER‐EXPRESSION OF K‐FGF OR bFGF RESULTS IN ALTERED EXPRESSION OF MATRIX METALLOPROTEINASES: CORRELATIONS WITH MALIGNANT PROGRESSION AND CELLULAR INVASION

2002· article· en· W1969655952 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCell Biology International · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversity of Prince Edward IslandUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMatrix metalloproteinaseProteasesFibroblast growth factorMalignant transformationBasic fibroblast growth factorBiologyCell biologyTransformation (genetics)Cancer researchGrowth factorReceptorEnzymeGeneBiochemistry

Abstract

fetched live from OpenAlex

Matrix metalloproteinase (MMP) expression was investigated in NIH-3T3 fibroblasts that secrete K-FGF and in NIH-3T3 cells which express chimeric bFGF with a signal sequence targeting bFGF to the secretory pathway. Correlations between altered MMPs' and other proteases' expression and malignant potential were determined. Correlations between the expression of MMPs and the invasion ability of K-FGF and bFGF over-expressing cells were also determined. The resulting correlation between alterations in proteases and malignant progression supports a model which suggests that growth factor modulation of protease expression is part of the altered growth regulatory program associated with cellular transformation and malignant progression.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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