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Updated: May 13, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Genome-wide cell-free DNA mutational integration enables ultra-sensitive cancer monitoring
Asaf Zviran1,2, Rafael C Schulman1,2, Minita Shah1
1New York Genome Center, New York, NY, USA.
Abstract:
In many areas of oncology, we lack sensitive tools to track low-burden disease. Although cell-free DNA (cfDNA) shows promise in detecting cancer mutations, we found that the combination of low tumor fraction (TF) and limited number of DNA fragments restricts low-disease-burden monitoring through the prevailing deep targeted sequencing paradigm. We reasoned that breadth may supplant depth of sequencing to overcome the barrier of cfDNA abundance. Whole-genome sequencing (WGS) of cfDNA allowed ultra-sensitive detection, capitalizing on the cumulative signal of thousands of somatic mutations observed in solid malignancies, with TF detection sensitivity as low as 10-5. The WGS approach enabled dynamic tumor burden tracking and postoperative residual disease detection, associated with adverse outcome. Thus, we present an orthogonal framework for cfDNA cancer monitoring via genome-wide mutational integration, enabling ultra-sensitive detection, overcoming the limitation of cfDNA abundance and empowering treatment optimization in low-disease-burden oncology care.
Insights
This study introduces whole-genome sequencing (WGS) of cell-free DNA (cfDNA) for ultra-sensitive cancer detection. This approach overcomes limitations in tracking low-burden disease, enabling better treatment optimization.
Area of Science:
- Oncology
- Genomics
- Molecular Diagnostics
Background:
- Sensitive monitoring of low-burden cancer is challenging.
- Current cell-free DNA (cfDNA) methods using deep targeted sequencing are limited by low tumor fraction and fragment counts.
- Existing techniques struggle with detecting minimal residual disease.
Purpose of the Study:
- To develop an ultra-sensitive cfDNA monitoring method for low-burden malignancies.
- To overcome the limitations of cfDNA abundance and fragment limitations in cancer detection.
- To enable dynamic tumor burden tracking and improve treatment strategies.
Main Methods:
- Whole-genome sequencing (WGS) of cfDNA was employed.
- Genome-wide mutational integration was used to analyze cfDNA.
- The approach focused on the cumulative signal of thousands of somatic mutations.
Main Results:
- WGS achieved ultra-sensitive cfDNA detection with tumor fraction sensitivity as low as 10-5.
- The method enabled dynamic tracking of tumor burden.
- Postoperative residual disease detection was achieved, correlating with adverse outcomes.
Conclusions:
- A novel framework for cfDNA cancer monitoring using WGS was established.
- This genome-wide approach overcomes cfDNA abundance limitations for ultra-sensitive detection.
- The findings empower treatment optimization in low-disease-burden oncology care.

