MétaCan
Menu
Back to cohort
Record W2254432483

Comparative effects between fucoxanthinol and its precursor fucoxanthin on viability and apoptosis of breast cancer cell lines MCF-7 and MDA-MB-231.

2015· article· en· W2254432483 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

VenuePubMed · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsFucoxanthinMCF-7Viability assayApoptosisBiologyCancer cellCancer researchCell cultureCell growthCancerBiochemistryCarotenoid
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND/AIM: We evaluated whether low doses of the natural carotenoid fucoxanthin and/or of its metabolite fucoxanthinol are effective against proliferation of estrogen-sensitive MCF-7 and estrogen-resistant MDA-MB-231 breast cancer cell lines. MATERIALS AND METHODS: These cell lines were stimulated with 10 to 20 μM fucoxanthin and/or fucoxanthinol, followed by cell viability assays, Annexin V immunofluorescence to evaluate apoptosis, as well as mRNA and protein extractions for changes in nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) members' expressions and nuclear translocations. RESULTS: Fucoxanthin and fucoxanthinol reduced the viability of MCF-7 and MDA-MB-231 cells in a time-dependent manner as a result of increased apoptosis. In both cell lines, modulatory actions of fucoxanthinol on members of the NF-κB pathway were more pronounced than that of fucoxanthin. CONCLUSION: In MDA-MB-231 cells, fucoxanthinol reduced nuclear levels of NF-κB members' p65, p52 and RelB. Fucoxanthinol and fucoxanthin could be effective for the treatment and/or prevention 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.408

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 head0.060
GPT teacher head0.254
Teacher spread0.194 · 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