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Record W7061940713

A Role for a Novel β-catenin Binding Protein in Epithelial-mesenchymal Transitions and Breast Cancer Progression

2009· dissertation· en· W7061940713 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2009
Typedissertation
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerMyoepithelial cellGene silencingBinding proteinMetastasisTumor progressionCA 15-3CancerBreast tumorMammary tumor
DOInot available

Abstract

fetched live from OpenAlex

Epithelial-mesenchymal transition (EMT) has a critical role in tumor progression and has been correlated with the basal-like subtype of human breast cancers. Here I report a novel β-catenin binding protein, which I have shown to be expressed in invasive breast cancer and hypothesized to have a role in breast tumor progression. In normal breast tissue, expression is restricted to the myoepithelium while in breast cancer the expression pattern is similar to smooth muscle actin and vimentin. I have demonstrated that silencing of this protein in breast tumor cells reduces migration by over 50 percent. Furthermore, I have identified this β-catenin binding protein as a target of the Snail EMT network and have demonstrated this protein to be a marker of basal-like carcinomas. These results define a role for this novel protein in EMT, as a marker for the basal subtype, and a promising therapeutic target for metastasis inhibition.

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: Bench or experimental
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.002
GPT teacher head0.152
Teacher spread0.150 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicNuclear reactor physics and engineeringFrench-language works237,207