Later-generation epigenetic aging clocks outperform first-generation models in predicting survival in TCGA breast cancer
Xianglong Tan; Matteo Pellegrini; Su Yon Jung · 2026 · Clinical Epigenetics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract Background Epigenetic aging bridges the gap between biological and chronological age by exploiting DNA methylation (DNAm) patterns. Over the past decade, successive DNAm-based clocks have been introduced, beginning with the…
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Metadata source: Crossref · DOI 10.1186/s13148-026-02102-3