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

  • Li-Ting Chen
  • , Myrthe Jager
  • , D. mi Rebergen
  • , Geertruid J. Brink
  • , Tom van den Ende
  • , Willem Vanderlinden
  • , Pauline Kolbeck
  • , Marc Pagès-Gallego
  • , Ymke van der Pol
  • , Nicolle Besselink
  • , Norbert Moldovan
  • , Nizar Hami
  • , Wigard P. Kloosterman
  • , Hanneke van Laarhoven
  • , Florent Mouliere
  • , Ronald Zweemer
  • , Jan Lipfert
  • , Sarah Derks
  • , Alessio Marcozzi*
  • , Jeroen de Ridder*
  • *Corresponding author for this work
  • Utrecht University
  • Oncode Institute
  • Cyclomics
  • University of Amsterdam
  • Amsterdam UMC
  • University of Edinburgh
  • Ludwig Maximilian University of Munich
  • Vrije Universiteit Amsterdam
  • University of Manchester

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Shallow genome-wide cell-free DNA sequencing holds great promise for noninvasive 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 (TF) estimation through SNVs, CNAs, and fragmentomics. The efficacy of NanoRCS is tested on 18 cancer patient samples and seven healthy controls, demonstrating its ability to reliably detect TFs as low as 0.24%. In vitro experiments confirm that SNV measurements are essential for detecting TFs below 3%. NanoRCS provides an opportunity for cost-effective and rapid sample processing, which aligns well with clinical needs, particularly in settings where quick and accurate cancer monitoring is essential for personalized treatment strategies.
Original languageEnglish
Pages (from-to)886-899
Number of pages14
JournalGenome research
Volume35
Issue number4
DOIs
Publication statusPublished - 1 Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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