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Bridge Capture Permits Cost-Efficient, Rapid, and Sensitive Molecular Precision Diagnostics
Simona Adamusová1, Anttoni Korkiakoski1, Nea Laine2
1Genomill Health Inc., Turku, Finland; Department of Biology, University of Turku, Turku, Finland.
The Journal of Molecular Diagnostics : JMD
|October 19, 2025
Summary
Bridge Capture is a new liquid biopsy technology for detecting cancer mutations. It offers high sensitivity, cost-efficiency, and scalability, improving upon existing methods for circulating tumor DNA analysis.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Diagnostics
Background:
- Liquid biopsies analyzing circulating tumor DNA (ctDNA) via targeted next-generation sequencing (NGS) are increasingly utilized.
- Existing library preparation methods present trade-offs between scalability, cost, sensitivity, and panel size.
Purpose of the Study:
- To introduce and evaluate Bridge Capture, a novel liquid biopsy technology.
- To compare Bridge Capture's performance against established methods for variant allele frequency (VAF) detection.
Main Methods:
- Analysis of 24 contrived colorectal biospecimens mimicking ctDNA.
- Comparison of Bridge Capture with Archer LIQUIDPlex and AmpliSeq CHP version 2 for Illumina.
- Evaluation of sequencing depth, interlaboratory reproducibility, automation compatibility, and panel scalability.
Main Results:
- Bridge Capture detected the lowest VAFs, showing strong correlation with Archer LIQUIDPlex (R² = 0.995) and AmpliSeq CHPv2 (R² = 0.988).
- Demonstrated high interlaboratory reproducibility and consistency between automated and manual workflows.
- Achieved a 300% panel size increase with negligible impact on performance and cross-reactivity, indicating high multiplexing capability.
Conclusions:
- Bridge Capture offers a cost-efficient, sensitive, and scalable solution for ctDNA analysis.
- The technology is compatible with standard NGS platforms and optimizes sequencing capacity.
- Bridge Capture has the potential to significantly advance cancer mutation detection through improved diagnostics.

