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Record W2069295524 · doi:10.3892/or.8.6.1225

Cyclooxygenase-2 expression in malignant mesenchymal tumors and related uterine lesions

2001· article· en· W2069295524 on OpenAlexfundno aff
Yoshimasa Matsumoto, Osamu Ishiko, Toshiyuki Sumi, Hiromi Yoshida, Masaaki Deguchi, E. Nakagawa, Tomoko Haba, Kenichi Wakasa, Sachio Ogita, Yukio Ando

Bibliographic record

VenueOncology Reports · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsnot available
FundersTerry Fox Foundation
KeywordsCarcinosarcomaImmunostainingPathologyStromal cellSarcomaUterine sarcomaEndometrial stromal sarcomaImmunohistochemistrySpindle cell carcinomaLeiomyosarcomaBiologyUterusCancer researchMedicineCarcinomaEndocrinology

Abstract

fetched live from OpenAlex

The aim of this study was to determine whether the expression of cyclooxygenase-2 (COX-2) in uterine sarcoma cells and carcinosarcoma cells is associated with cell type. Nineteen sections of tissues from uterine sarcomas, carcinosarcomas, and an adenosarcoma, and endometrial stromal sarcomas, were immunohistochemically analyzed for the cellular expression of COX-2. Positive immunostaining for COX-2 was observed in 88.9% (8/9) uterine carcinosarcomas, uterine adenosarcomas but was not observed in uterine sarcomas and the endometrial stromal sarcoma (0/10). But positive immunostaining for COX-2 was observed in some sarcomatoid cells in carcinosarcoma tissue. These findings suggest that some of the sarcoma cells in uterine carcinosarcomas resemble epithelial malignant cells in regard to the increase in COX-2 expression, and support the hypothesis that some uterine carcinosarcomas are combination tumors. This may serve as a basis for new chemoprevention and treatment strategies for uterine carcinosarcomas through the inhibition of COX-2 activity.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 head0.007
GPT teacher head0.274
Teacher spread0.267 · 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 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

Citations11
Published2001
Admission routes1
Has abstractyes

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