Efficient and Sensitive Bisulfite-Free Methylation Detection Approach for Low-Abundance and Highly Fragmented cfDNA

Circulating cell-free DNA (cfDNA) has emerged as a promising noninvasive diagnostic tool for liquid biopsy, with abnormal DNA methylation serving as a key biomarker for cancer screening and early diagnosis. However, the low abundance and high fragmentation of cfDNA present significant challenges to the sensitivity and specificity of the current methylation detection methods. We aim to develop a highly sensitive methylation detection method for fragmented cfDNA that does not require bisulfite conversion. In this study, we combined double restriction enzyme digestion with specific terminal-mediated polymerase chain reaction (STEM-PCR) to establish a cfDNA methylation detection method, namely, the dRE-STEM method. The dRE-STEM method could detect methylated cfDNA on the PCR platform without the need for cumbersome bisulfite conversion. A case-control study was conducted to validate the diagnostic value of colorectal cancer (CRC)-related specific methylated locates using the dRE-STEM method. The dRE-STEM method successfully detected methylation ratios as low as 3% using just 4 ng of cfDNA input, and the best diagnostic model achieved 80.2% (95% CI, 70.6-87.4%) sensitivity and 80.9% (95% CI, 71.9-87.7%) specificity for CRC, significantly outperforming conventional protein markers. The dRE-STEM method offers a promising approach for accurate methylation quantification in low-abundance, highly fragmented cfDNA, making it particularly suitable for routine clinical practice.

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Journal
Analytical Chemistry
Published
2025-09-26
DOI
https://doi.org/10.1021/acs.analchem.5c01974
Citations
1
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.81
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article

Efficient and Sensitive Bisulfite-Free Methylation Detection Approach for Low-Abundance and Highly Fragmented cfDNA

Yizhou Huang, Wei Ren, Zhengguo Xu, Cang Chen et al.
1 citations
Analytical Chemistry
Epigenetics and DNA Methylation
0.81
article

Efficient and Sensitive Bisulfite-Free Methylation Detection Approach for Low-Abundance and Highly Fragmented cfDNA

Yizhou Huang, Wei Ren, Zhengguo Xu, Cang Chen, Hong Yan Xu, Linqing Zhen, Yu Guang Wang, Hongchen Gu, Chao Li, Min Zhang, Ming Zhong, Zhaoqi Fang, Hao Yang, Shiwei Guo, Jianing Nie
article en
1 citations

Abstract

Circulating cell-free DNA (cfDNA) has emerged as a promising noninvasive diagnostic tool for liquid biopsy, with abnormal DNA methylation serving as a key biomarker for cancer screening and early diagnosis. However, the low abundance and high fragmentation of cfDNA present significant challenges to the sensitivity and specificity of the current methylation detection methods. We aim to develop a highly sensitive methylation detection method for fragmented cfDNA that does not require bisulfite conversion. In this study, we combined double restriction enzyme digestion with specific terminal-mediated polymerase chain reaction (STEM-PCR) to establish a cfDNA methylation detection method, namely, the dRE-STEM method. The dRE-STEM method could detect methylated cfDNA on the PCR platform without the need for cumbersome bisulfite conversion. A case-control study was conducted to validate the diagnostic value of colorectal cancer (CRC)-related specific methylated locates using the dRE-STEM method. The dRE-STEM method successfully detected methylation ratios as low as 3% using just 4 ng of cfDNA input, and the best diagnostic model achieved 80.2% (95% CI, 70.6-87.4%) sensitivity and 80.9% (95% CI, 71.9-87.7%) specificity for CRC, significantly outperforming conventional protein markers. The dRE-STEM method offers a promising approach for accurate methylation quantification in low-abundance, highly fragmented cfDNA, making it particularly suitable for routine clinical practice.

Analytical ChemistryVol. 97(39)
Shanghai Jiao Tong University (CN), Renji Hospital (CN), Shanghai CASB Biotechnology (China) (CN), Zhuhai People's Hospital (CN), Hefei Institute of Technology Innovation (CN), Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
Openalex Percentile: Top 23%
Epigenetics and DNA Methylation
0.81
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