ArticleClinical epigenetics2023
Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA.
Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Establishment and Performance Evaluation of a Multiplexed TET2-APOBEC-Mediated cfDNA Methylation Detection Workflow Using qPCR and dPCR Readouts.Journal of personalized medicine · 2026Article
- Breast cancer detection via targeted enzymatic methyl sequencing of plasma cell-free DNA.Molecular genetics and genomics : MGG · 2026Article
- Transforming Liver Cancer Therapy: Integrating Molecular Profiling with Precision and Transplant-Based Care.Cancers · 2025Review
- Ultra-mild bisulfite outperforms existing methods for 5-methylcytosine detection with low input DNA.Nature communications · 2025Article
- Comparison of enzymatic and bisulfite conversion of circulating cell-free tumor DNA for DNA methylation analyses.Clinical epigenetics · 2025Article
- Coupling Immunoprecipitation with Multiplexed Digital PCR for Cell-Free DNA Methylation Detection in Small Plasma Volumes of Early-Onset Colorectal Cancer.Analytical chemistry · 2025Article
- Discovery and validation of a novel dual-target blood test for the detection of hepatocellular carcinoma across stages from cirrhosis.BMC medicine · 2025Article
- The Current Role of Circulating Cell-Free DNA in the Management of Hepatocellular Carcinoma.Cancers · 2025Review
- Liquid biopsy in hepatocellular carcinoma: Challenges, advances, and clinical implications.Clinical and molecular hepatology · 2025Review
- Comparison of enzymatic and bisulfite-based methods for sequencing-based cell-free DNA methylation profiling.Frontiers in epigenetics and epigenomics · 2025Article
- Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma.Molecular cancer · 2024Review
- TOTEM: a multi-cancer detection and localization approach using circulating tumor DNA methylation markers.BMC cancer · 2024Article
- Genetic screening of liver cancer: State of the art.World journal of hepatology · 2024Review
- Reduced representative methylome profiling of cell-free DNA for breast cancer detection.Clinical epigenetics · 2024Article
- Research Progress on the Role of Epigenetic Methylation Modification in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2024Review
- Is Cell-Free DNA Testing in Hepatocellular Carcinoma Ready for Prime Time?International journal of molecular sciences · 2023Review
- Liquid biopsy for early detection of hepatocellular carcinoma.Frontiers in medicine · 2023Review
- Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review.Frontiers in genetics · 2023Review
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEpigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited in application of low-amount cfDNA analysis.
resultsThrough mild enzyme-mediated conversion, enzymatic methyl sequencing (EM-seq) is ideal for precise determination of cell-free DNA methylation and provides an opportunity for HCC early detection. EM-seq of methylation control DNA showed that enzymatic conversion of unmethylated C to U was more efficient than bisulfite conversion. Moreover, a relatively large proportion of incomplete converted EM-seq reads contains more than 3 unconverted CH site (CH = CC, CT or CA), which can be removed by filtering to improve accuracy of methylation detection by EM-seq. A cohort of 241 HCC, 76 liver disease, and 279 normal plasma samples were analyzed for methylation value on 1595 CpGs using EM-seq and targeted capture. Model training identified 283 CpGs with significant differences in methylation levels between HCC and non-HCC samples. A HCC screening model based on these markers can efficiently distinguish HCC sample from non-HCC samples, with area under the curve of 0.957 (sensitivity = 90%, specificity = 97%) in the test set, performing well in different stages as well as in serum α-fetoprotein/protein induced by vitamin K absence-II negative samples.
conclusionFiltering of reads with ≥ 3 CHs derived from incomplete conversion can significantly reduce the noise of EM-seq detection. Based on targeted EM-seq analysis of plasma cell-free DNA, our HCC screening model can efficiently distinguish HCC patients from non-HCC individuals with high sensitivity and specificity.
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