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Record W2129399870 · doi:10.1093/carcin/21.4.827

Inhibition of N-methyl-N-nitrosourea- and 7,12-dimethylbenz[a] anthracene-induced rat mammary tumorigenesis by dietary cholesterol is independent of Ha-ras mutations

2000· article· en· W2129399870 on OpenAlexaff
Ahmed El‐Sohemy, Michael C. Archer

Bibliographic record

VenueCarcinogenesis · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDMBAEndocrinologyInternal medicineCarcinogenCholesterolCarcinogenesisHMG-CoA reductase7,12-Dimethylbenz[a]anthraceneReductaseMammary tumorBiologyMevalonate pathwayEnzymeTumor initiationMammary glandChemistryBiochemistryCancerMedicineBreast cancer

Abstract

fetched live from OpenAlex

Dietary cholesterol has previously been shown to inhibit rat mammary tumorigenesis but the mechanisms remain unclear. Uptake of serum low density lipoprotein cholesterol by tissues leads to down-regulation of 3-hydroxy-3-methylglutaryl-CoA (HMG-CoA) reductase, the rate limiting enzyme in cholesterol biosynthesis that catalyzes the formation of mevalonate. In addition to being a precursor of cholesterol, mevalonate is necessary for DNA synthesis and cell proliferation. Isoprenoids, also derived from mevalonate, are required for the post-translational modification of Ras proteins that are mutated in a number of carcinogen-induced rat mammary tumors. The purpose of this study, therefore, was to determine whether inhibition of tumorigenesis by cholesterol is dependent on the frequency of mutations in the Ha-ras gene. Female Sprague-Dawley rats (30/group) were given a single dose of either N-methyl-N-nitrosourea (MNU, 50 mg/kg i.p.) or 7, 12-dimethylbenz[a]anthracene (DMBA, 100 mg/kg intragastrally), carcinogens that produce tumors with either a high (MNU) or low (DMBA) frequency of Ha-ras mutations in codon 12 or 61, respectively. Rats were fed either a control AIN-93G diet or the control diet supplemented with 0.3% cholesterol for 14 weeks. Dietary cholesterol significantly decreased the final tumor incidence in rats given DMBA (83 versus 100%, P < 0.05) or MNU (53 versus 77%, P < 0.05). HMG-CoA reductase activity was higher in mammary tumors than in normal mammary glands, but the activity of this enzyme was reduced by cholesterol feeding only in mammary glands and not in tumors. Tumors induced by MNU had a high frequency of Ha-ras mutations in both the control (65%) and cholesterol-fed (68%) groups. Tumors induced by DMBA had a low frequency of Ha-ras mutations that also did not differ between the control (21%) and cholesterol-fed (18%) groups. These findings show that dietary cholesterol inhibits mammary tumorigenesis induced by either MNU or DMBA and that the inhibition is independent of the type or extent of mutations in the Ha-ras gene.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.035
Threshold uncertainty score1.000

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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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.

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

Citations35
Published2000
Admission routes1
Has abstractyes

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