ArticleNature communications2022
Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- Decomposition-driven biomarker identification enhances non-invasive early cancer detection.iScience · 2026Article
- DNAmBERT: a transformer-based model for non-invasive cancer diagnosis using DNA sequence and methylation data.Briefings in bioinformatics · 2026Article
- DNA Methylation as a Programmable Information Layer: From Molecular Marks to Disease State Engineering.International journal of molecular sciences · 2026Review
- Liquid biopsy-based multi-omics approach for early detection of hepatocellular carcinoma (ASCEND-Hep): a multiphase prospective development and validation study.BMC medicine · 2026Article
- Enriched methylomes of low-input and fragmented DNA using fragment ligation EXclusive methylation sequencing.Nucleic acids research · 2026Article
- Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.Chinese medical journal · 2026Review
- Toward the simultaneous detection of multiple diseases with a highly cost-effective cell-free DNA methylome test.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Circulating tumor DNA methylation-based method for noninvasive detection and stage stratification of colorectal tumor.Clinical epigenetics · 2026Article
- A pan-cancer compendium of 1,294 plasma cell-free DNA methylomes and fragmentomes enabling multicancer detection.Nature cancer · 2026Article
- A targeted DNA methylation method for detecting gastrointestinal cancer in circulating cell-free DNA.iScience · 2026Article
- Global Hypomethylation in Cell-Free DNA Enables Noninvasive Colorectal Cancer Screening: Results from a Retrospective Validation Study.Computational and structural biotechnology journal · 2026Article
- Article
- Epigenetic profiling of circulating cell-free DNA for early detection and minimal residual disease assessment in lung cancer: a focus on DNA methylation.Frontiers in oncology · 2026Review
- Advancements in DNA methylation technologies and their application in cancer diagnosis.Epigenetics · 2025Review
- Whole-genome profiling of age- and sex-associated DNA methylation signatures in human plasma cell-free DNA.Communications medicine · 2025Article
- RECAP-seq: restriction enzyme-based CpG-methylated fragment amplification for early cancer detection.Scientific reports · 2025Article
- Advances and challenges in circulating tumor DNA-based early detection of lung cancer.Translational cancer research · 2025Review
- Epigenetic profiles of tissue informative CpGs inform ALS disease status and progression.Genome medicine · 2025Article
- Review
- Read-level DNA methylation deconvolution enhances circulating tumor DNA detection.Briefings in bioinformatics · 2025Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
40 authors.
Funding
Abstract
Early cancer detection by cell-free DNA faces multiple challenges: low fraction of tumor cell-free DNA, molecular heterogeneity of cancer, and sample sizes that are not sufficient to reflect diverse patient populations. Here, we develop a cancer detection approach to address these challenges. It consists of an assay, cfMethyl-Seq, for cost-effective sequencing of the cell-free DNA methylome (with > 12-fold enrichment over whole genome bisulfite sequencing in CpG islands), and a computational method to extract methylation information and diagnose patients. Applying our approach to 408 colon, liver, lung, and stomach cancer patients and controls, at 97.9% specificity we achieve 80.7% and 74.5% sensitivity in detecting all-stage and early-stage cancer, and 89.1% and 85.0% accuracy for locating tissue-of-origin of all-stage and early-stage cancer, respectively. Our approach cost-effectively retains methylome profiles of cancer abnormalities, allowing us to learn new features and expand to other cancer types as training cohorts grow.
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