Dietary folate, alcohol and B vitamins in relation to LINE-1 hypomethylation in colon cancer
Bibliographic record
Abstract
BACKGROUND AND AIMS: Although critical for methylation reactions, how dietary folate and B vitamins affect global DNA methylation level in colorectal cancers is currently unknown. Long interspersed nucleotide element-1 (LINE-1) is an emerging indicator of genome-wide DNA methylation level that has previously been linked to colon cancer survival. METHODS: We examined the association between dietary intake of folate, alcohol and B vitamins and LINE-1 hypomethylation in 609 incident colon cancers, utilising the database of two independent prospective cohort studies. RESULTS: Participants with > or = 400 microg folate intake per day were significantly less likely to develop LINE-1 hypomethylated colon cancers than those reporting <200 microg of folate intake per day (RR=0.57, 95% CI=0.36 to 0.91 for <55% LINE-1 methylated colon tumours; RR=0.74, 95% CI=0.51 to 1.06 for 55-64% LINE-1 methylated colon tumours; and RR=1.08, 95% CI=0.66 to 1.75 for > or = 65% LINE-1 methylated tumours; P(interaction)=0.01). By contrast, high alcohol consumption conferred a higher risk of LINE-1 hypomethylated cancers (> or = 15 g alcohol per day versus none, RR=1.67, 95% CI=1.04 to 2.67 for <55% LINE1 methylated tumours; and RR=1.55, 95% CI=1.10 to 2.18 for 55-64% LINE-1 methylated tumours) but had no association with > or = 65% LINE-1 methylated tumours (RR=1.06, 95% CI=0.69 to 1.62). High intakes of vitamin B(6), B(12) or methionine were not significantly associated with colon cancers, regardless of LINE-1 methylation level. CONCLUSION: The influence of dietary folate intake and alcohol consumption on colon cancer risk differs significantly according to tumoral LINE-1 methylation level.
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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".