MiR-608 rs4919510 C > G polymorphism increased the risk of bladder cancer in an Iranian population
Bibliographic record
Abstract
Abstract MicroRNAs (miRNAs) participate in diverse biological pathways and may act as oncogenes or tumor suppressors. The single nucleotide polymorphisms (SNPs) in miRNAs potentially can alter miRNA-binding sites on target genes as well as affecting miRNAs expression. The present study aimed to evaluate the impact of miR-608 rs4919510 C > G variant on bladder cancer risk. This case-control study conducted on 233 bladder cancer patients and 252 healthy subjects. Genotyping of miR-608 rs4919510 was done using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Our findings showed that CG as well as CG + GG genotypes significantly increased the risk of bladder cancer (OR = 1.94, 95% CI = 1.28–2.94, p = 0.002, and OR = 1.90, 95% CI = 1.26–2.86, p = 0.002, respectively) compared to CC genotype. The G allele significantly increased the risk of bladder cancer compared to C allele (OR = 1.69, 95% CI = 1.17–2.45, p = 0.005). Our findings proposed that miR-608 polymorphism might be associated with increased risk of bladder cancer in a sample of Iranian population. Further large-scale studies with different ethnicities are needed 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 | 0.001 |
| 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) | 0.002 | 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".