Trial reportEuropean journal of cancer (Oxford, England : 1990)2017
DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility.
Trial report in European journal of cancer (Oxford, England : 1990), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 9 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
128 citing papers in PubMed, 9 syntheses or guidelines pooled it, 210 citations in OpenAlex.
- Epigenetic Ageing and Breast Cancer Risk: A Systematic Review.Cancer medicine · 2024Pooled it
- Using proteomics and metabolomics to identify therapeutic targets for senescence mediated cancer: genetic complementarity method.Frontiers in endocrinology · 2023Pooled it
- Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: a pooled analysis of four prospective studies.Breast cancer research : BCR · 2022Pooled it
- Pooled it
- Pooled it
- A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020Pooled it
- Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies.Breast cancer research : BCR · 2019Pooled it
- Epigenome-wide association study for lifetime estrogen exposure identifies an epigenetic signature associated with breast cancer risk.Clinical epigenetics · 2019Pooled it
- The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis.Clinical epigenetics · 2019Pooled it
- Trial
- Associations of breast DNA methylation-based measures of biological ageing with obesity-related breast cancer risk markers.Epigenetics · 2026Article
- Assessing differences in epigenetic aging markers between sexual or gender minority and straight cisgender adults using the Coronary Artery Risk Development in Young Adults cohort.Social science & medicine (1982) · 2026Article
- Local estrogen therapy effects on DNA methylation dynamics in menopausal women-a cross-sectional preliminary study.Journal of applied genetics · 2026Article
- Associations of accelerated epigenetic aging with cancer and mortality risk in the USA.GeroScience · 2026Article
- The modifying effect of chronological age on the predictive value of vascular aging indicators for the long-term cardiovascular events risk.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Association of Epigenetic Aging Biomarkers With Risk of MASLD-Related HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- Decitabine Induces Subtype-Specific Epigenomic Remodeling and Perturbs Age-Associated Regulatory CpGs in Breast Cancer.Cancer informatics · 2026Article
- PRC2-Related Epigenetic Age Acceleration in Acute Myeloid Leukemia with DNMT3A and IDH2 Mutations.Advanced biology · 2026Article
- Comparison between vascular age based on brachial-ankle pulse wave velocity or carotid-femoral pulse wave velocity.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Article
- Epigenetic age acceleration and mortality risk prediction in US adults.GeroScience · 2025Article
68 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
46 authors at 20 institutions in 13 countries.
Funding
Abstract
aim of the studyA vast majority of human malignancies are associated with ageing, and age is a strong predictor of cancer risk. Recently, DNA methylation-based marker of ageing, known as 'epigenetic clock', has been linked with cancer risk factors. This study aimed to evaluate whether the epigenetic clock is associated with breast cancer risk susceptibility and to identify potential epigenetics-based biomarkers for risk stratification.
methodsHere, we profiled DNA methylation changes in a nested case-control study embedded in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (n = 960) using the Illumina HumanMethylation 450K BeadChip arrays and used the Horvath age estimation method to calculate epigenetic age for these samples. Intrinsic epigenetic age acceleration (IEAA) was estimated as the residuals by regressing epigenetic age on chronological age.
resultsWe observed an association between IEAA and breast cancer risk (OR, 1.04; 95% CI, 1.007-1.076, P = 0.016). One unit increase in IEAA was associated with a 4% increased odds of developing breast cancer (OR, 1.04; 95% CI, 1.007-1.076). Stratified analysis based on menopausal status revealed that IEAA was associated with development of postmenopausal breast cancers (OR, 1.07; 95% CI, 1.020-1.11, P = 0.003). In addition, methylome-wide analyses revealed that a higher mean DNA methylation at cytosine-phosphate-guanine (CpG) islands was associated with increased risk of breast cancer development (OR per 1 SD = 1.20; 95 %CI: 1.03-1.40, P = 0.02) whereas mean methylation levels at non-island CpGs were indistinguishable between cancer cases and controls.
conclusionEpigenetic age acceleration and CpG island methylation have a weak, but statistically significant, association with breast cancer susceptibility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.