ArticleScientific reports2025
RECAP-seq: restriction enzyme-based CpG-methylated fragment amplification for early cancer detection.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Early detection of multiple cancers: the era of methylation-based liquid biopsy.Frontiers in oncology · 2026Review
- 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
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Aberrant DNA methylation drives cancer development, yet current screening methods require substantial resources for targeted enrichment across multiple CpG-rich regions. Early cancer detection in cell-free DNA (cfDNA) presents additional challenges due to low circulating tumor DNA fractions (0.01-10%) that dilute cancer-specific signals. To address these limitations, we developed Restriction Enzyme-based CpG-methylated fragment AmPlification sequencing (RECAP-seq) to selectively enrich hypermethylated fragments from existing Enzymatic Methyl-seq (EM-seq) libraries. RECAP-seq combines EM-seq library preparation with BstUI restriction enzyme digestion to target CGCG motifs, achieving preferential enrichment of CpG islands. With spike-in experiments using cell line mixtures, RECAP-seq successfully distinguished samples as low as 0.001%. The method identified 7,091 hypermethylated markers, including ALX4 which showed progressive increases with colorectal cancer stage. Clinical validation using cfDNA from 35 healthy donors and 47 colorectal cancer patients demonstrated robust detection with an area under the curve (AUC) of 0.932, achieving 78.7% sensitivity at 95% specificity.
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Registered trials
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 Socratic graph.