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Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
Published on: June 8, 2019
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Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden.
Guanhua Zhu1, Yu A Guo1, Danliang Ho1
1Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore.
Nature Communications
|April 14, 2021
Summary
A new method accurately estimates circulating tumor DNA (ctDNA) levels by analyzing cell-free DNA (cfDNA) degradation patterns, enabling non-invasive monitoring of cancer progression in colorectal and breast cancer patients.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- Circulating tumor DNA (ctDNA) profiling offers a non-invasive method for monitoring cancer progression.
- Accurate quantification of ctDNA is crucial for effective disease management.
- Current methods often rely on detecting specific genomic alterations, limiting their applicability.
Purpose of the Study:
- To develop a novel quantitative method for estimating ctDNA burden.
- To achieve ctDNA quantification independent of specific genomic aberrations.
- To enable low-cost, non-invasive monitoring of cancer progression.
Main Methods:
- Developed a quantitative model based on local, tissue-specific cell-free DNA (cfDNA) degradation patterns.
- Exploited nucleosome-dependent cfDNA degradation at promoter and exon-intron regions.
- Utilized compact targeted sequencing (<25 kb) of 6 predictive regulatory regions.
Main Results:
- The model accurately predicted ctDNA levels in colorectal cancer patients using only 6 regulatory regions.
- A model restricted to blood-specific regulatory regions accurately predicted ctDNA levels in both colorectal and breast cancer patients.
- Demonstrated the potential for quantitative, low-cost tracking of ctDNA dynamics.
Conclusions:
- Tissue-specific cfDNA degradation patterns provide a robust basis for ctDNA quantification.
- This approach enables accurate, aberration-independent ctDNA monitoring across different cancer types.
- The method facilitates cost-effective, non-invasive tracking of ctDNA dynamics and disease progression.

