Matrix metalloproteinase 1, 3 and 12 polymorphisms and esophageal adenocarcinoma risk and prognosis
Bibliographic record
Abstract
The matrix metalloproteinase (MMP) family degrade extracellular matrix and mediate pathways including apoptosis, angiogenesis and immunity. We studied the association between four MMP polymorphisms within three MMP genes and esophageal adenocarcinoma (EA) risk and prognosis. A total of 313 EA cases and 455 age and gender frequency-matched controls were genotyped for MMP1 1G/2G, MMP3 6A/5A, MMP12 -82A/G and MMP12 1082A/G. The association between individual MMP polymorphisms and EA risk was evaluated using regression models and adjusted for age, gender, adult body mass index and smoking status. Haplotype analysis was performed to investigate the combined effect of all four linked MMP polymorphisms and EA risk. The MMP1 and MMP3 polymorphisms were associated with increased EA risk: MMP1 1G/2G and 2G/2G had adjusted odds ratios of 1.46 [95% confidence interval 1.0-2.1; P = 0.04] and adjusted odds ratio 1.83 (1.2-2.8; P = 0.005), respectively, whereas MMP3 6A/5A had adjusted odds ratio 1.40 (95% confidence interval 1.0-2.1; P = 0.09) and MMP3 5A/5A had 1.61 (95% confidence interval 1.0-2.5; P = 0.03). Two MMP haplotypes [MMP1-MMP3-MMP12 (-82) 2G-5A-A (adjusted odds ratio 1.36, 95% confidence interval 1.0-1.8; P = 0.03) and 2G-5A-G (adjusted odds ratio 1.70, 95% confidence interval 1.1-2.6; P = 0.01)] were also associated with increased EA risk. The relationship between BE cases with the same set of controls was similar. No association was identified between the MMP polymorphisms and overall survival or progression free survival of patients with EA. MMP1, MMP3 and possibly MMP12 -82A/G polymorphisms and their haplotypes are associated with increased EA risk.
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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) | 0.001 | 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".