Breast Cancer Susceptibility: Meta-Analysis of Cytochrome P450 2C19 ( <i>CYP2C19</i> ) and Estrogen Receptor-1 ( <i>ESR1</i> ) Genetic Variants
Bibliographic record
Abstract
Introduction Breast Cancer (BC) is a leading cancer among women, influenced by genetic polymorphisms. This meta-analysis examines CYP2C19 (rs4244285) and ESR1 (rs2234693) polymorphisms and BC susceptibility.Methodology A PRISMA-guided search analyzed genotypic and allelic frequencies across six CYP2C19 and nine ESR1 studies, with quality assessed by the Newcastle-Ottawa Scale and Hardy-Weinberg Equilibrium, spanning diverse ethnic groups.Results Most models found no significant associations for CYP2C19 or ESR1. The GG genotype of CYP2C19 (rs4244285) showed a potential protective effect against BC.Conclusion Genetic variability impacts BC risk. CYP2C19 (rs4244285) may offer protective effects. Further research is needed for personalized treatments.
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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 | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.036 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".