ArticleCancer informatics2019
Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas.
Article in Cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.
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Who cites it
102 citing papers in PubMed, 1 synthesis or guideline pooled it, 174 citations in OpenAlex.
- Epigenetic mechanisms in schizophrenia and other psychotic disorders: a systematic review of empirical human findings.Molecular psychiatry · 2020Pooled it
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- Molecular background of Philadelphia chromosome dependent enhancement of cellular growth and tyrosine kinase inhibitor sensitivity.Experimental hematology & oncology · 2026Article
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- Cardinality-based sparse singular value decomposition for similarity matrices.Journal of applied statistics · 2026Article
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- Epigenetic synthetic lethality as a cancer therapeutic strategy: synergy of experimental and computational approaches.Epigenomics · 2025Review
- Systematic identification of regions where DNA methylation is correlated with transcription refines regulatory logic in normal and tumour tissues.Nucleic acids research · 2025Article
- Gene expression in tumor and adjacent normal tissues in lung adenocarcinoma subtypes.BMC cancer · 2025Article
- Unveiling Epigenetic Regulatory Elements Associated with Breast Cancer Development.International journal of molecular sciences · 2025Article
- Transcription Dynamics and DNA Methylation Responses to Growth Modification.Marine biotechnology (New York, N.Y.) · 2025Article
- Increased susceptibility to prostate cancer biomarkers in the offspring of male mouse progenitors with lifelong or early life exposure to high-fat diet.European journal of nutrition · 2025Article
- Reliable investigation of DNA methylation using Oxford nanopore technologies.Scientific reports · 2025Article
- Detection of an intestinal cell DNA methylation signature in blood samples from neonates with necrotizing enterocolitis.Epigenomics · 2025Article
- Predicting microRNA target genes using pan-cancer correlation patterns.BMC genomics · 2025Article
- DNA methylation profiling at base-pair resolution reveals unique epigenetic features of early-onset colorectal cancer in underrepresented populations.Clinical epigenetics · 2025Article
- Genomic context determines the effect of DNA methylation on gene expression in the gut epithelium of Atlantic salmon (Epigenetics · 2024Article
42 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundDNA methylation is a form of epigenetic modification that has been shown to play a significant role in gene regulation. In cancer, DNA methylation plays an important role by regulating the expression of oncogenes. The role of DNA methylation in the onset and progression of various cancer types is now being elucidated as more large-scale data become available. The Cancer Genome Atlas (TCGA) provides a wealth of information for the analysis of various molecular aspects of cancer genetics. Gene expression data and DNA methylation data from TCGA have been used for a variety of studies. A traditional understanding of the effects of DNA methylation on gene expression has linked methylation of CpG sites in the gene promoter region with the decrease in gene expression. Recent studies have begun to expand this traditional role of DNA methylation.
resultsHere we present a pan-cancer analysis of correlation patterns between CpG methylation and gene expression. Using matching patient data from TCGA, 33 cancer-specific correlations were calculated for each CpG site and the expression level of its corresponding gene. These correlations were used to identify patterns on a per-site basis as well as patterns of methylation across the gene body. Using these identified patterns, we found genes that contain conflicting methylation signals beyond the commonly accepted association between the promoter region methylation and silencing of gene expression. Beyond gene body methylation in whole, we examined individual CpG sites and show that, even in the same gene body, some sites can have a contradictory effect on gene expression in cancers.
conclusionsWe observed that within promoter regions there was a substantial amount of positive correlation between methylation and gene expression, which contradicts the commonly accepted association. We observed that the correlation between CpG methylation and gene expression does not exhibit in a tissue-specific manner, suggesting that the effects of methylation on gene expression are largely tissue independent. The analysis of correlation associated with the location of the CpG site in the gene body has led to the identification of several different methylation patterns that affect gene expression, and several examples of methylation activating gene expression were observed. Distinctly opposing or conflicting effects were seen in close proximity on the gene body, where negative and positive correlations were seen at the neighboring CpG sites.
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