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Record W2015620982 · doi:10.4161/epi.3.2.5899

Epigenetic gene silencing in the Wnt pathway in breast cancer

2008· review· en· W2015620982 on OpenAlexfundno aff
George J. Klarmann, Amy E. Decker, William L. Farrar

Bibliographic record

VenueEpigenetics · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthChina Scholarship CouncilCanadian Institute for Theoretical Astrophysics
KeywordsWnt signaling pathwayBiologyEpigeneticsBreast cancerDNA methylationGene silencingCancer researchCancerColorectal cancerGeneticsMechanism (biology)GeneBioinformaticsGene expression

Abstract

fetched live from OpenAlex

Breast cancer is one of the most common malignancies in women. Despite advances in treatment of endocrine-dependent tumors, the complete molecular basis of transformation is still unknown. What is clear is that a variety of genetic lesions and epigenetic modifications are present in the neoplasm. Disregulation of several signaling pathways is known to be associated with breast cancer development, among them is the wingless and integration site growth factor (Wnt) pathway. While genetic mutations of certain components of this pathway, such as APC, are significant contributing factors for colorectal cancers, they are typically not the predominate mechanism associated with breast cancer. Instead, it appears that DNA hypermethylation leads to aberrant regulation of the Wnt pathway in breast cancer, and as such, this review focuses on the epigenetic regulation of Wnt pathway components in breast cancer.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.034
GPT teacher head0.317
Teacher spread0.283 · 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 designNot applicable
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

Citations122
Published2008
Admission routes1
Has abstractyes

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