Method

Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling

    • 1 University Medical Center Utrecht, Utrecht University, Oncode Institute;
    • 2 Cyclomics;
    • 3 University Medical Center Utrecht, Utrecht University;
    • 4 Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam;
    • 5 Debye Institute for Nanomaterials Science, Utrecht University, University of Edinburgh;
    • 6 Debye Institute for Nanomaterials Science, Utrecht University, LMU Munich;
    • 7 Amsterdam UMC;
    • 8 Cancer Center Amsterdam, Amsterdam UMC;
    • 9 Cancer Center Amsterdam, Amsterdam UMC, University of Manchester;
    • 10 Debye Institute for Nanomaterials Science, Utrecht University;
    • 11 Oncode Institute, Amsterdam UMC;
    • 12 University Medical Center Utrecht, Utrecht University, Oncode Institute, Cyclomics
Published January 13, 2025. https://doi.org/10.1101/gr.279144.124
Download PDF Cite Article Permissions Share
cover of Genome Research Vol 36 Issue 6
Current Issue:

Abstract

Shallow genome-wide cell-free DNA (cfDNA) sequencing holds great promise for non-invasive cancer monitoring by providing reliable copy number alteration (CNA) and fragmentomic profiles. Single nucleotide variations (SNVs) are, however, much harder to identify with low sequencing depth due to sequencing errors. Here we present Nanopore Rolling Circle Amplification (RCA)-enhanced Consensus Sequencing (NanoRCS), which leverages RCA and consensus calling based on genome-wide long-read nanopore sequencing to enable simultaneous multimodal tumor fraction estimation through SNVs, CNAs, and fragmentomics. Efficacy of NanoRCS is tested on 18 cancer patient samples and seven healthy controls, demonstrating its ability to reliably detect tumor fractions as low as 0.24%. In vitro experiments confirm that SNV measurements are essential for detecting tumor fractions below 3%. NanoRCS provides the opportunity for cost-effective and rapid processing, which aligns well with clinical needs, particularly in settings where quick and accurate cancer monitoring is essential for personalized treatment strategies.

Loading
Loading
Loading
Back to top