No evidence that polymorphisms in CYP2C8, CYP2C9, UGT1A6, PPARδ and PPARγ act as modifiers of the protective effect of regular NSAID use on the risk of colorectal carcinoma
Bibliographic record
Abstract
OBJECTIVES: Regular continuous non-steroidal anti-inflammatory drug (NSAID) use has been associated with a reduction in risk of colorectal cancer. Our objective was to investigate whether or not a number of the polymorphic genes involved in the metabolism of NSAIDs, including cytochrome P450 s (CYPs), act as modifiers of this protective effect. METHODS: As part of a multi-centre case-control study, 478 colorectal cancer patients and 733 controls (433 matched case-control pairs) answered questions on NSAID use. These individuals were then genotyped for common polymorphisms in P450 CYP2C8, P450 CYP2C9, UDP-glucuronosyl transferase (UGT)1A6 and peroxisome proliferator-activated receptor isoforms delta and gamma (PPARdelta and PPARgamma). RESULTS AND CONCLUSION: Our study confirmed the reduction in risk of colorectal cancer with regular NSAID use (odds ratio (OR) = 0.73, 95% confidence interval (CI) (0.56, 0.95)) but showed that none of the polymorphic genes studied appeared to modify the protective effect of regular NSAID use.
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 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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".