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Record W1982014175 · doi:10.1054/bjoc.2001.1857

Tcf-3 expression and β -catenin mediated transcriptional activation in aggressive fibromatosis (desmoid tumour)

2001· article· en· W1982014175 on OpenAlexafffund
Sabine Tejpar, Cyril Li, Chunying Yu, Raymoond Poon, Hannelore Denys, Raf Sciot, Eric Van Cutsem, J.J. Cassiman, Benjamin A. Alman

Bibliographic record

VenueBritish Journal of Cancer · 2001
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Cancer InstituteMedical Research CouncilVlaamse regeringMedical Research Council Canada
KeywordsCancer researchImmunoprecipitationBeta-cateninFibromatosisCateninAggressive fibromatosisBiologyCell culturePathologyMedicineWnt signaling pathwaySignal transductionCell biologyGenetics

Abstract

fetched live from OpenAlex

Aggressive fibromatosis harbours mutations resulting in beta-catenin protein stabilization. Primary cell cultures demonstrate constitutive tcf activation in aggressive fibromatosis. Expression and co-immunoprecipitation studies suggest that beta-catenin binds and activates tcf-3 in this tumour. This is the first demonstration of tcf-3 activation by beta-catenin stabilization in a human neoplastic process.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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

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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations39
Published2001
Admission routes2
Has abstractyes

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