Interaction of cyclooxygenase 2 genotype and smoking habit in Taiwanese lung cancer patients.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".