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Updated: Apr 23, 2026
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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
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Enhanced multicancer screening assay through whole-genome methylation sequencing-based multimodal cell-free DNA
Seongmun Jeong1, Dayoung Go1, Yujin Jeon1
1IMBdx Inc., Seoul, Republic of Korea.
Experimental & Molecular Medicine
|April 21, 2026
Summary
This study introduces a new multicancer screening test using whole-genome methylation sequencing and machine learning to detect early-stage cancers. The innovative assay shows high sensitivity and specificity for identifying multiple cancer types from cell-free DNA.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Early cancer detection is crucial but challenging due to low circulating tumor DNA (ctDNA) concentrations and heterogeneity.
- Current screening methods often lack the sensitivity for early-stage disease detection.
Purpose of the Study:
- To develop and validate an enhanced multicancer screening assay for early cancer detection.
- To integrate whole-genome methylation sequencing with a multimodal analytical framework for cell-free DNA (cfDNA).
Main Methods:
- Developed an ensemble machine learning model analyzing four cfDNA characteristics: average methylation fraction, copy number variation, fragment size ratio, and fragment size distribution.
- Utilized whole-genome methylation sequencing for cfDNA analysis.
- Tested the model on 1415 samples, including eight cancer types and healthy controls.
Main Results:
- Achieved an overall sensitivity of 93.2% and specificity of 95% across eight cancer types.
- Demonstrated high sensitivity for early-stage cancers: 92.3% for stage I and 92.2% for stage II.
- The multimodal approach successfully differentiated early-stage cancer from healthy individuals and achieved 85.7% accuracy in predicting the tissue of origin.
Conclusions:
- Whole-genome methylation sequencing-based multimodal analysis significantly improves multicancer early detection.
- This technology has the potential to revolutionize cancer screening methods by enabling earlier and more accurate diagnoses.
