Association between CYP3A4 genotype and risk of endometrial cancer following tamoxifen use
Bibliographic record
Abstract
Tamoxifen is a selective estrogen receptor modulator that is used to treat and to prevent breast cancer; however, its use is associated with an increased risk of endometrial cancer. Tamoxifen is metabolized by various cytochrome P450 (CYP) enzymes, but predominantly by CYP3A4. In this study, we examined whether a genetic variant of the CYP3A4 gene, CYP3A4*1B, influences endometrial cancer risk--alone and when associated with tamoxifen exposure. We conducted a case-control study on 566 endometrial cancer cases and 964 ethnically matched controls. The variant CYP3A4 allele was present in 6% of the controls and 9% of the endometrial cancer patients (OR = 1.6, 95% CI = 1.1-2.3, P = 0.02). The allele was more common in women with endometrial cancer who had been treated with tamoxifen for breast cancer (16%). Women who carried the CYP3A4*1B allele had approximately 3-fold increase in the risk of developing endometrial cancer following tamoxifen treatment, compared with women who did not take tamoxifen (P = 0.004). These findings suggest that a subgroup of breast cancer patients who carry the CYP3A4*1B allele and take tamoxifen may be at increased risk of developing endometrial 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".