Quantitative assessment of the association between DNMT3B-579G>T polymorphism and cancer risk
Bibliographic record
Abstract
BACKGROUND: DNA methyltransferase 3B (DNMT3B) has been discovered to play an important role in tumorigenesis. However, the association between DNMT3B-579G>T and the cancer risk has not been demonstrated. OBJECTIVE: The aim of this study is to provide a precise quantification for the association between DNMT3B-579G>T and the cancer susceptibility. METHODS: We performed a systematic literature review and assessed the methodological quality of included case-control designed studies based on Newcastle-Ottawa Scale (NOS). Pooled odds ratios (ORs) and corresponding 95% confidence intervals (95%CIs) were calculated to assess the strengths of the association. RESULTS: We identified 18 studies for pooled analyses. Overall, the results demonstrated that the DNMT3B-579G>T polymorphism was significantly associated with a subtly decreased cancer risk (GT vs TT: OR = 0.78, 95%CI: 0.70-0.87, P< 0.01; GT + GG vs TT: OR = 0.81, 95%CI: 0.68-0.97, P= 0.02), especially in the Asian population and in colorectal cancer subgroup. In addition, when stratified for source of controls, the results of population-based subgroup showed the GT genotype might have a significantly decreased cancer risk, but not hospital-based subgroups. CONCLUSIONS: DNMT3B-579G>T polymorphism might contribute to the susceptibility of cancers especially in the Asian population and for colorectal 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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".