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Record W2172238963

Cyclooxygenase-2 (COX-2) up-regulation is a prognostic marker for poor clinical outcome of upper tract urothelial cancer.

2012· article· en· W2172238963 on OpenAlexaff
Hung‐Lung Ke, Hung‐Pin Tu, Hui‐Hui Lin, Chee‐Yin Chai, Lin Chang, Wei Li, Ching Chia Li, Yi Chen Lee, Hsin‐Chih Yeh, Wen‐Jeng Wu, Da Tian Bau

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsProportional hazards modelStromal cellMedicineCancerImmunohistochemistryStromaBiomarkerOncologyCyclooxygenaseTumor progressionClinical significancePathologyInternal medicineCancer researchBiologyEnzyme
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: There are no reliable biomarkers for diagnosis, prediction of outcome or treatment effect monitoring for upper tract urothelial carcinoma (UTUC), which is a uniquely prevalent cancer in Taiwan. In the present study, 128 primary UTUC specimens of various grades and primary tumor status were examined for the expression of cyclooxygenase-2 (COX-2) in tumor and stroma tissues aiming to clarify the association of COX-2 expression with clinical outcomes in Taiwanese patients with UTUC. MATERIALS AND METHODS: Immunohistochemistry was implemented to investigate COX-2 expression levels in 128 paired tumor and stroma specimens. The association of COX-2 expression with tumor progression and prognosis was analyzed. RESULTS: Our data demonstrated that positive COX-2 expression was more frequent in stromal cells (57.0%), than in tumor sites (53.1%), and the up-regulation of COX-2 was strongly associated with higher cancer-specific death and cancer recurrence rates. In COX-2-negative cases, no similar correlation was found. CONCLUSION: COX-2 expression was up-regulated in both stromal and tumor cells of more than half of the studied UTUC patients and the positive expression of COX-2 in stromal cells may be a potential predictive and prognostic biomarker for UTUC, especially for cancer-specific death and recurrence.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.068
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.064
GPT teacher head0.345
Teacher spread0.281 · 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 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

Citations25
Published2012
Admission routes1
Has abstractyes

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