ArticleBMC medical genomics2020
DNA hypermethylation associated with upregulated gene expression in prostate cancer demonstrates the diversity of epigenetic regulation.
Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.
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Who cites it
86 citing papers in PubMed, 1 synthesis or guideline pooled it, 146 citations in OpenAlex.
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- DNA Methylation in Blood Samples from Malignant Mammary Tumors of Companion Dogs: A Pilot Study.Computational and structural biotechnology journal · 2026Article
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- Allele-specific methylation of SSTR4 associated with aging and cognitive functions in patients with schizophrenia.PloS one · 2025Article
- The interaction between gut microbiota and host DNA methylation in the pathogenesis and therapy of inflammatory bowel disease.Frontiers in microbiology · 2025Review
- Differential DNA methylation in infants with IgE- and non-IgE-mediated cow's milk allergy and its association with acquired tolerance.Frontiers in immunology · 2025Article
- The methylation-expression correlation of autophagy-related genes in colorectal cancer patients from southern Iran.Molecular biology research communications · 2025Article
- A subset of Polycomb-targeted transcription factor genes become hypermethylated yet upregulated in colorectal cancer.Computational and structural biotechnology journal · 2025Article
26 more citing papers are in PubMed but not listed here.
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstate cancer (PCa) has the highest incidence rates of cancers in men in western countries. Unlike several other types of cancer, PCa has few genetic drivers, which has led researchers to look for additional epigenetic and transcriptomic contributors to PCa development and progression. Especially datasets on DNA methylation, the most commonly studied epigenetic marker, have recently been measured and analysed in several PCa patient cohorts. DNA methylation is most commonly associated with downregulation of gene expression. However, positive associations of DNA methylation to gene expression have also been reported, suggesting a more diverse mechanism of epigenetic regulation. Such additional complexity could have important implications for understanding prostate cancer development but has not been studied at a genome-wide scale.
resultsIn this study, we have compared three sets of genome-wide single-site DNA methylation data from 870 PCa and normal tissue samples with multi-cohort gene expression data from 1117 samples, including 532 samples where DNA methylation and gene expression have been measured on the exact same samples. Genes were classified according to their corresponding methylation and expression profiles. A large group of hypermethylated genes was robustly associated with increased gene expression (UPUP group) in all three methylation datasets. These genes demonstrated distinct patterns of correlation between DNA methylation and gene expression compared to the genes showing the canonical negative association between methylation and expression (UPDOWN group). This indicates a more diversified role of DNA methylation in regulating gene expression than previously appreciated. Moreover, UPUP and UPDOWN genes were associated with different compartments - UPUP genes were related to the structures in nucleus, while UPDOWN genes were linked to extracellular features.
conclusionWe identified a robust association between hypermethylation and upregulation of gene expression when comparing samples from prostate cancer and normal tissue. These results challenge the classical view where DNA methylation is always associated with suppression of gene expression, which underlines the importance of considering corresponding expression data when assessing the downstream regulatory effect of DNA methylation.
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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.