MétaCan
Menu
Back to cohort
Record W2068235574 · doi:10.2174/1874325001004010030

The Role of Conjugated Linoleic Acid in Breast Cancer Growth and Development

2010· article· en· W2068235574 on OpenAlexafffund
Danielle L. Amarù, Patricia Biondo, Catherine J. Field

Bibliographic record

VenueThe Open Nutraceuticals Journal · 2010
Typearticle
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsConjugated linoleic acidLinoleic acidPolyunsaturated fatty acidApoptosisCell growthCancer researchChemistryReceptorCellFatty acidPeroxisomeMechanism of actionBiochemistryPharmacologyBiologyIn vitro

Abstract

fetched live from OpenAlex

Conjugated linoleic acid (CLA) consists of a group of naturally occurring and synthetic positional and geometric (cis-trans) stereoisomers of the polyunsaturated fatty acid linoleic acid. The cis-9,trans-11 (c9,t11) CLA isomer (the most prevalent form found in ruminant-derived foods) and the trans-10,cis-12 (t10,c12) CLA isomer (present in commercial preparations) are the two most widely studied CLA isomers in breast cancer. Studies using both animal and cell culture models indicate that these CLA isomers, when added to the diet or included in the cell culture medium, inhibit mammary tumour initiation, promotion and progression in rodents, and alter tumour cell viability in vitro. The mechanism of CLA's anticancer effect is not well understood, but may involve interference with the cell cycle, induction of apoptosis, modulation of gene expression via the activation of peroxisome proliferator-activated receptors, lipid peroxidation, modulation of the tumour microenvironment, changes to the structure and/or function of the cell membrane, and interference with growth factor receptor signaling. A greater understanding of the mechanism of action of CLA will support the development of clinical trials to evaluate the potential effectiveness of CLA in the treatment of 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 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.018
GPT teacher head0.319
Teacher spread0.301 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueThe Open Nutraceuticals JournalSame topicDiet, Metabolism, and DiseaseFrench-language works237,207