ArticleFrontiers in bioengineering and biotechnology2019
CancerClock: A DNA Methylation Age Predictor to Identify and Characterize Aging Clock in Pan-Cancer.
Article in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Assessing the influence of different alignment tools on the accuracy of a forensic epigenetic clock.Bioinformatics (Oxford, England) · 2026Article
- Intra-tumoral epigenetic heterogeneity and aberrant molecular clocks in hepatocellular carcinoma.medRxiv : the preprint server for health sciences · 2025Article
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- Influence of Genetic Polymorphisms on the Age at Cancer Diagnosis in a Homogenous Lynch Syndrome Cohort of Individuals Carrying theBiomedicines · 2024Article
- Methods for Estimating Personal Disease Risk and Phylogenetic Diversity of Hematopoietic Stem Cells.Molecular biology and evolution · 2024Article
- Review
- A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator.BMC bioinformatics · 2023Article
- Integrative Approaches of DNA Methylation Patterns According to Age, Sex and Longitudinal Changes.Current genomics · 2023Article
- Evaluation of epigenetic age calculators between preeclampsia and normotensive pregnancies in an Australian cohort.Scientific reports · 2022Observational
- EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study.Nucleic acids research · 2022Article
- Inflammatory aging clock: A cancer clock to characterize the patients' subtypes and predict the overall survival in glioblastoma.Frontiers in genetics · 2022Article
- Review
- Bacteria-related changes in host DNA methylation and the risk for CRC.Gut microbes · 2020Review
- Current perspectives on the cellular and molecular features of epigenetic ageing.Experimental biology and medicine (Maywood, N.J.) · 2020Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many biological indicators related to chronological age have been proposed. Recent studies found that epigenetic clock or DNA methylation age is highly correlated with chronological age. In particular, a significant difference between DNA methylation age (m-age) and chronological age was observed in cancers. However, the prediction and characterization of m-age in pan-cancer remains an explored area. In this study, 1,631 age-related methylation sites in normal tissues were discovered and analyzed. A comprehensive computational model named CancerClock was constructed to predict the m-age for normal samples based on methylation levels of the extracted methylation sites. LASSO linear regression model was used to screen and train the CancerClock model in normal tissues. The accuracy of CancerClock has proved to be 81%, and the correlation value between chronological age and m-age was 0.939 (
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Registered trials
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