Genome-Wide DNA Methylation Analysis Reveals Epigenetic Dysregulation of MicroRNA-34A in <i>TP53</i>-Associated Cancer Susceptibility
Bibliographic record
Abstract
PURPOSE: Although the link between mutant TP53 and human cancer is unequivocal, a significant knowledge gap exists in clinically actionable molecular targets in Li-Fraumeni syndrome (LFS), a highly penetrant cancer predisposition syndrome associated with germline mutations in TP53. This study surveyed the epigenome to identify functionally and clinically relevant novel genes implicated in LFS. PATIENTS AND METHODS: We performed genome-wide methylation analyses of peripheral blood leukocyte DNA in germline TP53 mutation carriers (n = 72) and individuals with TP53 wild type in whom histologically comparable malignancies developed (n = 111). Targeted bisulfite pyrosequencing was performed on a validation cohort of 30 TP53 mutation carriers and 46 patients with TP53 wild type, and candidate sites were evaluated in primary tumors from patients with LFS across multiple histologic tumor types. RESULTS: In 183 patients, distinct DNA methylation signatures were associated with deleterious TP53 mutations in peripheral blood leukocytes. TP53-associated DNA methylation marks occurred in genomic regions that harbored p53 binding sites and in genes encoding p53 pathway proteins. Moreover, loss-of-function TP53 mutations were significantly associated with differential methylation at the locus encoding microRNA miR-34A, a key component of the p53 regulatory network (adjusted P < .001), and validated in an independent patient cohort (n = 76, P < .001). Targeted bisulfite pyrosequencing demonstrated that miR-34A was inactivated by hypermethylation across many histologic types of primary tumors from patients with LFS. Moreover, miR-34A tumor hypermethylation was associated with decreased overall survival in a cohort of 29 patients with choroid plexus carcinomas, a characteristic LFS tumor (P < .05). CONCLUSION: Epigenetic dysregulation of miR-34A may comprise an important path in TP53-associated cancer predisposition and represents a therapeutically actionable target with potential clinical relevance.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.001 |
| 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".