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Updated: Aug 22, 2025

Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors
Published on: August 5, 2022
The Role of DNA Methylation and DNA Methyltransferases in Cancer
Daniel J Weisenberger1, Ranjani Lakshminarasimhan2,3, Gangning Liang4
1Department of Biochemistry and Molecular Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA.
Abstract:
The malignant transformation of normal cells is driven by both genetic and epigenetic changes. With the advent of next-generation sequencing and large-scale international consortia, it is now possible to profile the genomes and epigenomes of thousands of primary tumors from nearly every cancer type. These studies clearly demonstrate that the dynamic regulation of DNA methylation is a critical epigenetic mechanism of cancer initiation, maintenance, and progression. Proper control of DNA methylation is not only crucial for regulating gene transcription and tissue-specific cellular functions, but its broader consequences include maintaining the integrity of the genome and modulating the immune response. Here, we describe the aberrant DNA methylation changes in human cancers and how they contribute to the disease phenotypes. Aside from CpG island promoter DNA hypermethylation-based gene silencing, human cancers also display gene body DNA hypomethylation that is also associated with downregulated gene expression. In addition, the implementation of whole genome bisulfite sequencing (WGBS) has unveiled DNA hypomethylation of large blocks of the genome, known as partially methylated domains (PMDs), as well as cancer-specific DNA methylation aberrancies at enhancers and super-enhancers. Integrating WGBS and DNA methylation array data with mutation, copy number, and gene expression data has allowed for the identification of novel tumor suppressor genes and candidate driver genes of the disease state. Finally, we highlight potential clinical implications of these changes in the context of prognostic and diagnostic biomarkers, as well as therapeutic targets. Mounting evidence shows that DNA methylation data are effective and highly-sensitive disease classifiers, not only from analyses of the primary tumor but also from tumor-derived, cell free DNA (cfDNA) in blood of cancer patients. These findings highlight the power of DNA methylation aberrancies in providing efficacious biomarkers for clinical utility in improving patient diagnostics and their reversal using DNA methylation inhibitors in cancer treatment may be key in surveillance, treatment, and quality of life for cancer patients.
Insights
Aberrant DNA methylation patterns drive cancer development and progression. These epigenetic changes offer powerful diagnostic biomarkers and potential therapeutic targets for improved cancer patient care.
Area of Science:
- Cancer Epigenetics
- Molecular Oncology
Background:
- Malignant cell transformation involves genetic and epigenetic alterations.
- DNA methylation is a critical epigenetic mechanism in cancer initiation, maintenance, and progression.
- Aberrant DNA methylation impacts gene transcription, genome integrity, and immune response.
Purpose of the Study:
- To describe aberrant DNA methylation changes in human cancers.
- To elucidate the contribution of these changes to cancer phenotypes.
- To highlight clinical implications of DNA methylation aberrancies.
Main Methods:
- Analysis of genomic and epigenomic data from thousands of primary tumors.
- Utilizing whole genome bisulfite sequencing (WGBS) to identify methylation patterns.
- Integrating DNA methylation data with mutation, copy number, and gene expression data.
Main Results:
- Cancers exhibit CpG island promoter hypermethylation and gene body hypomethylation, affecting gene expression.
- WGBS revealed genome-wide hypomethylation in partially methylated domains (PMDs) and aberrant methylation at enhancers.
- Integration of multi-omics data identified novel tumor suppressor and driver genes.
Conclusions:
- DNA methylation aberrancies are key drivers of cancer phenotypes.
- DNA methylation data serve as sensitive prognostic and diagnostic biomarkers, detectable even in cell-free DNA (cfDNA).
- Reversing aberrant DNA methylation presents therapeutic opportunities for cancer treatment and patient management.
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