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100 1 _ |a Truong, Truong T
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245 _ _ |a Coupling Immunoprecipitation with Multiplexed Digital PCR for Cell-Free DNA Methylation Detection in Small Plasma Volumes of Early-Onset Colorectal Cancer.
260 _ _ |a Columbus, Ohio
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500 _ _ |a 2025 Jun 3;97(21):11259-11268
520 _ _ |a Colorectal cancer (CRC) remains a major global health challenge, with an increasing incidence of early-onset cases among young adults. Targeted analysis of cell-free DNA (cfDNA) methylation in blood has emerged as a promising minimally invasive diagnostic approach. While digital PCR (dPCR) offers high sensitivity and low turnaround times, conventional bisulfite-based dPCR assays require large plasma volumes due to cfDNA degradation, limiting clinical feasibility. To overcome this limitation, we developed a bisulfite-free, low-plasma-volume assay by coupling cell-free methylated DNA immunoprecipitation (cfMeDIP) with multiplexed dPCR for methylation detection. Assays were designed for CRC targets based on publicly available bisulfite-based plasma data and optimized for native, bisulfite-untreated cfDNA. The cfMeDIP-dPCR assays were first developed and optimized on circulating tumor DNA surrogates derived from HCT116 cells and subsequently validated in a pilot study, including 32 early-onset CRC (EO-CRC) patients and 29 non-CRC individuals. Methylation ratios, defined as the proportion of methylated to total cfDNA copies per marker, served as a diagnostic indicator. Three out of four selected markers (SEPT9, KCNQ5, and C9orf50) were successfully adapted, with significantly higher methylation ratios (p ≤ 0.001) in the EO-CRC cohort. KCNQ5 demonstrated the highest diagnostic performance, achieving an 85% sensitivity at a 90% specificity, with methylation ratios correlating with the tumor stage. This study presents the first cfMeDIP-dPCR approach, demonstrating its potential as a sensitive liquid biopsy assay. Requiring only 0.5 mL of plasma, i.e., more than 20 times less than a sensitivity-matched bisulfite-based assay, cfMeDIP-dPCR facilitates clinical implementation for CRC and other diseases with epigenetic signatures.
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700 1 _ |a Mikloska, Klara
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700 1 _ |a Sum, Judith
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700 1 _ |a Oberländer, Martina
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700 1 _ |a von Bubnoff, Nikolas
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700 1 _ |a Christiansen, Lea
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700 1 _ |a Tornow, Sebastian
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700 1 _ |a Zeissig, Sebastian
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700 1 _ |a Linnebacher, Michael
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700 1 _ |a Schafmayer, Clemens
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700 1 _ |a Lehnert, Michael
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700 1 _ |a Hutzenlaub, Tobias
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700 1 _ |a Paust, Nils
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700 1 _ |a Juelg, Peter
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