Association between interleukin-8 rs4073 polymorphism and prostate cancer: A meta-analysis
Bibliographic record
Abstract
BACKGROUND/PURPOSE: Interleukin-8 (IL-8) is an inflammatory cytokine and plays important role in development of cancers. We conducted a meta-analysis to explore the association between IL-8 rs4073 polymorphism and risk of prostate cancer. METHODS: PubMed, Embase, Cochrane Library, and Web of Science databases were searched for only case-control studies published before February 2019. The methodological quality assessment of included studies was performed based on Newcastle-Ottawa Quality Scale (NOS). Based on the heterogeneity, we conducted a meta-analysis using random-effect models. Pooled odds ratios (ORs) with a 95% confidence interval (CI) were calculated using the allele (T vs. A), homozygous (TT vs. AA), heterozygous (TA vs. AA), dominant (TT + TA vs. AA), and recessive (TT vs. TA + AA) genetic models to assess the strength of the relationship between IL-8 rs4073 polymorphism and prostate cancer risk. In addition, the stability of our analysis was evaluated by heterogeneity, sensitivity, subgroup of ethnicity and study design, and publication bias analysis. RESULTS: We included 6 case-control studies with a total of 1752 cases and 1982 controls. Significantly higher prostate cancer risk of 1.12 (95% CI = 1.01-1.25), 1.26 (95% CI = 1.03-1.55), and 1.20 (95% CI = 1.02-1.41) were found for the allele, homogeneous, and recessive model, respectively. Though there was no statistical association with other genetic models in our meta-analyses, a tendency of higher prostate cancer risk was observed in all five genetic models. CONCLUSION: The major findings of this meta-analysis suggested that IL-8 rs4073 polymorphism is significantly associated with risk of prostate cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 teacher head, 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".