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Antagonistic activity of acolbifene, fulvestrant, tamoxifen, and raloxifene on cancer-associated genes in the mouse mammary gland.

2012· article· en· W3010726128 on OpenAlexaff
Ézéquiel Calvo, Céline Martel, Fernand Labrie

Bibliographic record

VenueJournal of Clinical Oncology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsTheratechnologies (Canada)Université Laval
Fundersnot available
KeywordsFulvestrantTamoxifenRaloxifeneAntiestrogenSelective estrogen receptor modulatorMammary glandMedicineEstrogenEstrogen receptorBreast cancerEndocrinologyInternal medicineCarcinogenesisCancerOvariectomized ratCancer research

Abstract

fetched live from OpenAlex

10583 Background: The efficacy and exceptionally good tolerance of estrogen blockade in the treatment of breast cancer is well recognized. Acolbifene (ACOL) is a novel and unique SERM completely free of estrogen-like activity in both the mammary gland and uterus. To better understand the specificity of ACOL, we have investigated its effect on the expression of a set of genes modulated by estradiol (E2) in the mouse mammary gland. Methods: ACOL, tamoxifen (TAM), raloxifene (RALOX) and fulvestrant (FULV) were administered (0.01 mg/mouse; sc) to ovariectomized (OVX) mice or to OVX mice simultaneously treated with E2 (0.05 µg/mouse; single sc injection). Microarray screening followed by Q_RTPCR was used to identify a reproducible set of E2 responsive genes. Results: From 128 genes significantly modulated by E2, 108 genes were up-regulated and 20 were down-regulated. Forty-nine of these genes were associated with tumorigenesis while 22 are known to be associated with breast cancer. This set of 49 genes were used to determine the specificity of ACOL compared to another pure antiestrogen in the mammary gland and uterus, namely FULV, as well as to the mixed estrogen antagonists/agonists TAM and RALOX, in their ability to block the effect of E2. Efficacy of reversal of the effect of E2 was 94%, 63%, 45% and 90% for ACOL, FULV, TAM and RALOX, respectively. The overlap between all treatments was 30.6% (15/49). ACOL reversed the effect of E2 on 42 of the 49 (85.7%) cancer-related genes. Between the genes up-regulated by E2 and reversed by ACOL, seven are considered as prognostic markers in breast cancer, namely Fgfr3, Fos12, Junb, Jdp2, Gdf15, Greb1 and Tgm2. On the other hand, two genes down‑regulated by E2, namely Foxa1 and Fgfr2, were restored by ACOL. Conclusions: Taken together, these data offer new information for a better understanding of the previously demonstrated potent tumoricidal action of ACOL in human breast cancer xenografts. The data also suggest, under the tested conditions, superiority of ACOL over TAM and the other compounds to reverse the effect of E2 on specific gene expression, thus supporting the interest of this new 3rd generation SERM for the hormonal therapy and 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.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.404
Teacher spread0.353 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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