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Record W2188529843

Interaction of cyclooxygenase 2 genotype and smoking habit in Taiwanese lung cancer patients.

2010· article· en· W2188529843 on OpenAlexaff
Chin Jung Liu, Te Chun Hsia, Rou Fen Wang, Chia Wen Tsai, Chia Chen Chu, Liang Wen Hang, Chung Hsing Wang, Hong Zin Lee, Ru Yin Tsai, Da Tian Bau

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsLung cancerGenotypeAlleleMedicineInternal medicineLung cancer susceptibilityOncologyProportional hazards modelCancerConfidence intervalLungGastroenterologyBiologyGeneticsSingle-nucleotide polymorphismGene
DOInot available

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to evaluate the association and interaction of genotypic polymorphisms in the cyclooxygenase 2 (Cox-2) gene with smoking habits with lung cancer patients in Taiwan. Six polymorphic variants of Cox-2 were analysed in association with their effect on lung cancer susceptibility, and their joint effects with smoking habits on lung cancer risk is discussed. MATERIALS AND METHODS: Three hundred and fifty-eight patients with lung cancer and 716 healthy controls from the China Medical Hospital in central Taiwan were genotyped. RESULTS: The Cox-2 intron 6 (rs2066826) genotypes were distributed differently between the lung cancer and control groups. The A allele of Cox-2 intrin 6 was found more frequently in the cancer patient group than in the controls. Furthermore, the interactions of smoking with genetic factors were significant for the Cox-2 intron 6 genotypes. Patients who smoked and had the Cox-2 intron 6 AG or AA genotype had an increased risk of 2.21 (95% confidence interval=1.53-3.27) for developing lung cancer. CONCLUSION: These results provide evidence that the A allele of Cox-2 intron 6 may be associated with the development of lung cancer and may be a useful marker for early detection and treatment of lung 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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.275

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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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

Citations23
Published2010
Admission routes1
Has abstractyes

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