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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
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Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error
Xinxing Li1, Tao Liu2, Antonella Bacchiocchi3
1Department of Gastrointestinal Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P. R. China.
EMBO Molecular Medicine
|August 20, 2024
Summary
AccuScan technology significantly reduces whole genome sequencing errors for cell-free DNA analysis. This breakthrough enables highly sensitive detection of minimal residual disease (MRD) and circulating tumor DNA (ctDNA) for cancer monitoring.
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- Whole genome sequencing (WGS) of cell-free DNA (cfDNA) shows promise for minimal residual disease (MRD) detection.
- High error rates in WGS currently limit its clinical utility for sensitive MRD detection.
Purpose of the Study:
- Introduce AccuScan, an efficient cfDNA WGS technology with genome-wide error correction.
- Evaluate AccuScan's performance for MRD detection and cancer monitoring.
Main Methods:
- Developed AccuScan for single read-level error correction in cfDNA WGS.
- Assessed analytical sensitivity and specificity for MRD detection.
- Applied AccuScan to predict relapse in colorectal and esophageal cancers.
- Monitored immunotherapy response in melanoma patients using AccuScan-detected ctDNA.
Main Results:
- AccuScan achieved an ultra-low error rate of 4.2 × 10-7, two orders of magnitude lower than existing methods.
- Demonstrated analytical sensitivity down to 10-6 VAF with 99% specificity for MRD.
- Achieved 90% sensitivity for relapse prediction in colorectal cancer and 67% in esophageal cancer.
- AccuScan-detected ctDNA dynamics correlated with clinical outcomes in melanoma patients.
Conclusions:
- AccuScan offers a highly accurate WGS solution for sensitive MRD detection.
- Enables detection of circulating tumor DNA (ctDNA) at parts per million levels.
- AccuScan does not require high sample input or personalized reagents, facilitating broader clinical application.
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