A cross-sectional study of global DNA methylation and risk of colorectal adenoma
Bibliographic record
Abstract
BACKGROUND: The methylation of DNA is recognized as a key epigenetic mechanism and evidence for its role in the development of several malignancies is accumulating. We evaluated the relationship between global methylation in DNA derived from normal appearing colon mucosal tissue and blood leukocytes, and colorectal adenoma risk. METHODS: Patients, aged 40 to 65, scheduled for a screening colonoscopy were recruited. During the colonoscopy, two pinch biopsies of healthy, normal appearing mucosa were obtained from the descending colon. A fasting blood sample was also collected. The methylation status of LINE-1 (long interspersed nuclear element-1) repetitive sequences, as a surrogate measure of global methylation, was quantified in DNA extracted from normal colon mucosa and blood leukocytes. Statistical analysis of the relationship between global DNA methylation and adenoma risk was conducted on 317 participants, 108 subjects with at least one pathologically confirmed adenoma and 209 subjects with a normal colonoscopy. RESULTS: A statistically significant inverse relationship was observed between LINE-1 methylation in colon tissue DNA and adenoma risk for males and for both sexes combined for the lowest methylation quartile compared to the highest (adjusted ORs = 2.94 and 2.26 respectively). For blood, although the overall pattern of odds ratio estimates was towards an increase in risk for lower methylation quartiles compared to the highest methylation quartile, there were no statistically significant relationships observed. A moderate correlation was found between LINE-1 methylation levels measured in tissue and blood (Pearson correlation 0.36). CONCLUSIONS: We observed that lower levels of LINE-1 DNA methylation in normal appearing background colon mucosa were associated with increased adenoma risk for males, and for both sexes combined. Though these findings provide some support for a relationship between LINE-1 DNA methylation in colon mucosal tissue and adenoma risk, large prospective cohort studies are needed to confirm results. Until such investigations are done, the clinical usefulness of LINE-1 methylation as a biomarker of increased adenoma risk is uncertain. Regardless, this study contributes to a better understanding of the role of global DNA methylation as an early event in CR carcinogenesis with implications for future etiologic research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".