ArticleEBioMedicine2018
DNA Methylation Patterns in Normal Tissue Correlate more Strongly with Breast Cancer Status than Copy-Number Variants.
Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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Who cites it
28 citing papers in PubMed, 50 citations in OpenAlex.
- Individualised progesterone receptor modulator prevention strategies for triple-negative breast cancer in BRCA1 pathogenic variant carriers.NPJ breast cancer · 2026Review
- Can DNA Methylation in Peritumoral and Contralateral Breast Tissue Predict Recurrence or Second Breast Cancers?Current issues in molecular biology · 2026Article
- High- versus low-dose dietary n-3 PUFA treatment produces mixed effects on DNA methylation and epigenetic fidelity in breast adipose tissue.medRxiv : the preprint server for health sciences · 2026Article
- Margin of Error: The Emerging Role of Field Cancerization in Predicting Recurrence Risk of Ductal Carcinoma In Situ.International journal of molecular sciences · 2026Review
- DNA methylation estimates of immune cell abundance have prognostic potential in triple negative breast cancer.Clinical epigenetics · 2026Article
- Field cancerization, accelerated aging, and immunosuppression: the rapid rise of hormone-sensitive and early-onset breast cancer.NPJ breast cancer · 2025Review
- Environmental endocrine disruptors: rethinking the origins of early-onset ERNature reviews. Cancer · 2025Article
- DNA methylation patterns in breast cancer, paired benign tissue from ipsilateral and contralateral breast, and healthy controls.Breast cancer research : BCR · 2025Article
- DNA methylation and copy number alterations in the progression of HPV-associated high-grade vulvar intraepithelial lesion.International journal of cancer · 2025Article
- Associations of DNA methylation in breast tumour subtypes with parity and breastfeeding in a cohort of 1459 Black women: implications for public health.BMJ oncology · 2025Article
- Unraveling malignant phenotype of peritumoral tissue: transcriptomic insights into early-stage breast cancer.Breast cancer research : BCR · 2024Article
- On epigenetic stochasticity, entropy and cancer risk.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Comprehensive single cell aging atlas of mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancer.bioRxiv : the preprint server for biology · 2023Article
- Article
- Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome.Clinical epigenetics · 2023Article
- Cell-Type Deconvolution of Bulk DNA Methylation Data with EpiSCORE.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Whole-genome circulating tumor DNA methylation landscape reveals sensitive biomarkers of breast cancer.MedComm · 2022Article
- Article
- Whole-genome bisulfite sequencing analysis of circulating tumour DNA for the detection and molecular classification of cancer.Clinical and translational medicine · 2022Article
- Methylation of PCDH17 and NEFH as prognostic biomarker for nonmetastatic RCC: A cohort study.Medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Normal tissue at risk of neoplastic transformation is characterized by somatic mutations, copy-number variation and DNA methylation changes. It is unclear however, which type of alteration may be more informative of cancer risk. We analyzed genome-wide DNA methylation and copy-number calls from the same DNA assay in a cohort of healthy breast samples and age-matched normal samples collected adjacent to breast cancer. Using statistical methods to adjust for cell type heterogeneity, we show that DNA methylation changes can discriminate normal-adjacent from normal samples better than somatic copy-number variants. We validate this important finding in an independent dataset. These results suggest that DNA methylation alterations in the normal cell of origin may offer better cancer risk prediction and early detection markers than copy-number changes.
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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.