MétaCan
Menu
Back to cohort
Record W2150183487 · doi:10.1002/cncr.10568

Uridine phosphorylase is a potential prognostic factor in patients with oral squamous cell carcinoma

2002· article· en· W2150183487 on OpenAlexaff
Hitoshi Miyashita, Yuji Takebayashi, James F. Eliason, Fumihiro Fujimori, Yasutaka Nitta, Atsushi Satō, Hidehiro MORIKAWA, Akira Ōhashi, Katutoshi Motegi, Manabu Fukumoto, Shiro Mori, Takafumi Uchida

Bibliographic record

VenueCancer · 2002
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsImmunohistochemistryMedicinePathologyStainingClinical significanceThymidine phosphorylaseCarcinomaMetastasisAntibodyBiopsyCancerInternal medicineImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Uridine phosphorylase (UPase) catalyzes the reversible phosphorolysis of uridine to uracil. The expression levels and the enzymatic activity of UPase are reported to be higher in human solid tumors than in adjacent normal tissues. However, to the authors' knowledge the clinical significance of UPase expression as determined by immunohistochemical analysis has not been demonstrated in human malignancies. METHODS: The authors prepared the antibody against UPase, examined the staining of UPase in 72 cases of oral squamous cell carcinoma (SCC) with immunohistochemical analysis using the antibody, and analyzed its relation to clinical and pathologic factors. RESULTS: UPase stained mainly within the invasive edges of tumors and macrophages. UPase-positive staining was observed in 56 of the 72 tumors (77.8%). High staining of UPase (defined as > 50% of cells in a tumor biopsy that are positive for UPase) in primary tumors frequently was associated with the presence of metastasis to lymph nodes (P = 0.007 by the Fischer exact test) and with lower overall survival (P = 0.03 by the log-rank test). CONCLUSIONS: The high rate of UPase staining in biopsies from patients with oral SCC may be a prognostic marker for these individuals.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.993

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)0.0080.000

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 head0.226
Teacher spread0.213 · 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 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

Citations31
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCancerSame topicPeptidase Inhibition and AnalysisFrench-language works237,207