ArticleNature genetics2011
Increased methylation variation in epigenetic domains across cancer types.
Article in Nature genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 634 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
634 citing papers in PubMed, 1,088 citations in OpenAlex.
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- Integration of methylome and transcriptome reveals age-associated signatures of stage-specific dynamics and regulatory remodeling in dogs.GeroScience · 2026Article
- Human body single-cell atlas of three-dimensional genome organization and DNA methylation.Science (New York, N.Y.) · 2026Article
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- nanoASM: Long-Read Allele-Specific DNA Methylation Profiling Enables Functional Annotation of Regulatory Noncoding Variants in Human Prostate Tissues.bioRxiv : the preprint server for biology · 2026Article
- ATRX inactivation disrupts global chromatin state and topology to dysregulate neurodevelopmental pathways in glioma pathogenesis.Nucleic acids research · 2026Article
- LINE-1 retrotransposons: Multifaceted functions and regulatory mechanisms in health and disease.Molecular therapy. Nucleic acids · 2026Review
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- Epigenetic Instability-Based Metrics in Cell-Free DNA for Early Cancer Detection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Harnessing genomics for early cancer detection, risk stratification and prevention.Nature genetics · 2026Review
- DNMT3A R882H Is Not Required for Disease Maintenance in Primary Human AML but Is Associated with Increased Leukemia Stem Cell Frequency.Cancer discovery · 2026Article
- A comparison of differential DNA methylation analysis methods for continuous outcomes: implications for epigenetic studies.Epigenomics · 2026Article
- BenchmarkingInternational journal of molecular sciences · 2026Article
- Genetic impacts on within-pair DNA methylation variance in monozygotic twins capture gene-environment interactions and cell-type effects.Genome biology · 2026Article
- Epigenomics-guided precision oncology: Chromatin variants in prostate tumor evolution.International journal of cancer · 2026Review
- ReMeDy: A Flexible Statistical Framework For Region-based Detection of DNA Methylation Dysregulation.bioRxiv : the preprint server for biology · 2026Article
- A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs.Statistics in medicine · 2026Article
574 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
Tumor heterogeneity is a major barrier to effective cancer diagnosis and treatment. We recently identified cancer-specific differentially DNA-methylated regions (cDMRs) in colon cancer, which also distinguish normal tissue types from each other, suggesting that these cDMRs might be generalized across cancer types. Here we show stochastic methylation variation of the same cDMRs, distinguishing cancer from normal tissue, in colon, lung, breast, thyroid and Wilms' tumors, with intermediate variation in adenomas. Whole-genome bisulfite sequencing shows these variable cDMRs are related to loss of sharply delimited methylation boundaries at CpG islands. Furthermore, we find hypomethylation of discrete blocks encompassing half the genome, with extreme gene expression variability. Genes associated with the cDMRs and large blocks are involved in mitosis and matrix remodeling, respectively. We suggest a model for cancer involving loss of epigenetic stability of well-defined genomic domains that underlies increased methylation variability in cancer that may contribute to tumor heterogeneity.
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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.