Age-stratified subsampling preserved the main AA patterns, suggesting that chronological-age differences did not explain the observed tumor–normal differences, and highlight broad cancer-associated alterations in epigenetic aging together with substantial cancer type- and clock-specific heterogeneity.
Abstract
DNA methylation-based epigenetic clocks estimate biological age from methylation profiles, and the difference between predicted biological age and chronological age is commonly described as age acceleration (AA). We compared AA across eight cancer types—lung, colorectal, breast, thyroid, bone marrow and blood, kidney, uterus, and head and neck—using seven epigenetic clocks and 5,528 publicly available samples. Across the 56 cancer type–clock combinations, tumor tissues showed higher average AA than normal tissues in 44 comparisons. The uterus cohort showed the clearest deviation from this overall trend, with normal samples exhibiting higher AA for six of seven clocks. Analyses of paired normal and tumor samples generally showed higher predicted ages and greater variability in tumor samples. We additionally examined age-associated methylation changes and the ability of clock CpGs to distinguish tumor from normal tissue. Several discriminatory CpGs were shared across cancer types and frequently showed tumor-associated hypermethylation at cancer-related loci. Small subsets of top-ranked CpGs captured substantial discriminatory information. Age-stratified subsampling preserved the main AA patterns, suggesting that chronological-age differences did not explain the observed tumor–normal differences. Overall, these findings highlight broad cancer-associated alterations in epigenetic aging together with substantial cancer type- and clock-specific heterogeneity.
Epigenetic clocks have been widely used to estimate biological age across various tissues, but their accuracy in breast tissue remains suboptimal. Pan-tissue models such as Horvath’s and Hannum’s clocks, perform poorly in predicting chronological age in breast tissue, underscoring the need for a tissue-specific approac...
L. Garma, S. Pernas, B. Fullana et al.· bioRxiv· 1 citation
Epigenetic clocks estimate age and aging-related phenotypes from DNA methylation at selected CpG sites, but the extent to which these inputs are influenced by germline genetic variation is unclear. Because methylation at many CpGs is genetically regulated, some between-person variation in clock estimates may reflect in...
Cumulative mitotic history showed a stronger association with epigenetic noise than chronological age, explaining most of its variance particularly within CpG-rich regulatory regions, while genomic context modulates regional vulnerability to methylation information loss during aging.
A. Peñarroya, J. J. Alba-Linares, R. F. Pérez et al.· bioRxiv· 0 citations
Epigenetic clocks are widely applied biomarkers of biological age, but their biological underpinnings remain unclear. We previously showed that epigenetic clocks are affected by naïve and memory T cell proportions, suggesting blood cell composition as a potential driver. However, analysis of cell composition is complic...
Thomas H. Jonkman, Anne Richmond, R. Marioni et al.· Genome Medicine· 0 citations
This work constructed a heterogeneous stacked ensemble survival model based on DNAm data obtained from the Framingham Heart Study and constructed a survival prediction model based on the fusion of five complementary survival models by means of a neural network meta-learner.
Muthukumar Yugan Gogul, Karthikeyan A. Vijayakumar, Gwang-Won Cho· Mechanisms of Ageing and Dev...· 0 citations
Candidate biomarkers of biologic aging include p16INK4a (p16) expression in peripheral blood T cells, a marker of cellular senescence, and whole-blood DNA methylation (DNAm) clocks, markers of epigenetic aging. Both have been associated with age-accelerating conditions, including cancer and chemotherapy, but their rela...
H. Muss, Can-Lan Sun, Yuan C. Ding et al.· GeroScience· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.