ERBB4 gene polymorphisms and the risk of prostate cancer in a sample of Iranian Population.
Bibliographic record
Abstract
Genetic polymorphisms in ERBB4 are thought to be associated with cancer susceptibility. In the present study, we aimed to assess the impact of ERBB4 rs12052398 T>C, rs13393577 A>G, rs13424871 A>T, rs16847082 A>G and rs6147150 (12-bp I/D) polymorphisms on risk of prostate cancer (PCa) in a sample of Iranian population. In a case-control study, we enrolled 169 patients with pathologically confirmed PCa and 182 subjects with benign prostatic hyperplasia (BPH). No significant association was found among ERBB4 polymorphisms and risk of PCa. Subjects carrying TT/AA/AA/AG/ID, TC/AA/AA/AA/II, TT/AA/AT/AA/II and TT/AA/AT/AG/ID genotypes are associated with a decreased risk of PCa. Our findings suggest that haplotypes CAAAI and TAAAD (rs12052398, rs13393577, rs13424871, rs16847082 and rs6147150I) of the ERBB4 polymorphisms are associated with a significantly lower risk of PCa. Further studies with a larger sample sizes and diverse ethnicities are necessary to verify our findings.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".