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Record W2109819319 · doi:10.1354/vp.08-vp-0161-d-fl

Molecular Characterization of Feline COX-2 and Expression in Feline Mammary Carcinomas

2009· article· en· W2109819319 on OpenAlexaff
Khampoune Sayasith, Jean Sirois, Monique Doré

Bibliographic record

VenueVeterinary Pathology · 2009
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversité de Montréal
FundersWinn Feline Foundation
KeywordsImmunohistochemistryCarcinogenesisMammary glandCancer researchBiologyCancerPathologyCyclooxygenaseEnzymeMedicineBreast cancerBiochemistryGenetics

Abstract

fetched live from OpenAlex

Cyclooxygenase-2 (COX-2), the rate-limiting enzyme in the biosynthesis of prostaglandins, plays an important role in inflammation and tumorigenesis. COX-2 primary structure has been characterized in many species and its expression demonstrated in a variety of cancers in humans and dogs, including mammary cancer. In contrast, there is currently little information on the structure of feline COX-2. Also, information on COX-2 expression in feline mammary cancer is limited and conflicting. The objectives of this study were therefore to characterize the molecular structure of feline COX-2 and to evaluate by immunohistochemistry its expression in mammary carcinomas. Our results show that the predicted coding region of feline COX-2 encodes a 604-amino acid protein, which is identical in length to several COX-2 homologs. Feline COX-2 amino acid sequence is highly similar to other mammalian COX-2 homologs. Immunohistochemical analysis of 40 mammary carcinomas showed that the majority of tumors studied (35/40; 87%) expressed COX-2 at a level varying from low (20/40; 50%) to intermediate (13/40; 32%) and high (2/40; 5%). These results provide the first molecular characterization of feline COX-2 and demonstrate that COX-2 is expressed in the majority of feline mammary carcinomas.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.456

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 head0.013
GPT teacher head0.263
Teacher spread0.250 · 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 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

Citations29
Published2009
Admission routes1
Has abstractyes

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