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DNA methylation profiling in AML patients reveals epigenetic subtypes that mirror genetic mutations, improving risk stratification and outcome prediction beyond standard genetic markers.
A study of 305 individuals with type 2 diabetes found that blood-based DNA methylation models predicted 5-year major adverse cardiovascular events with high accuracy, suggesting potential for improved risk stratification.
FAM19A4, SOX1, and PAX1 methylation assays demonstrate high diagnostic accuracy for identifying CIN3+ among non-16/18 hrHPV-positive women, outperforming cytology and reducing unnecessary colposcopies.
In 2 prospective cohorts, blood DNA methylation was associated with carotid, coronary, and peripheral atherosclerosis, but most signals overlapped with smoking and cardiometabolic risk factors rather than vessel-specific biology.
A landmark study reveals that FET-rearranged myoepithelial tumors are epigenetically distinct from PLAG1-rearranged salivary and adnexal variants, suggesting they are closer to sarcomas than carcinomas, with significant clinical implication
An epigenome-wide study (EPIC‑CD) identified peripheral blood DNA methylation panels that predicted response to vedolizumab and ustekinumab (validated AUC 0.75 each) but failed to predict adalimumab response. Models worked best in biologic‑