Nature Communications (Nov 2024)

Unravelling mutational signatures with plasma circulating tumour DNA

  • Sebastian Hollizeck,
  • Ning Wang,
  • Stephen Q. Wong,
  • Cassandra Litchfield,
  • Jerick Guinto,
  • Sarah Ftouni,
  • Richard Rebello,
  • Sehrish Kanwal,
  • Ruining Dong,
  • Sean Grimmond,
  • Shahneen Sandhu,
  • Linda Mileshkin,
  • Richard W. Tothill,
  • Dineika Chandrananda,
  • Sarah-Jane Dawson

DOI
https://doi.org/10.1038/s41467-024-54193-2
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 9

Abstract

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Abstract The use of circulating tumour DNA (ctDNA) to profile mutational signatures represents a non-invasive opportunity for understanding cancer mutational processes. Here we present MisMatchFinder, a liquid biopsy approach for mutational signature detection using low-coverage whole-genome sequencing of ctDNA. Through analysis of 375 plasma samples across 9 cancers, we demonstrate that MisMatchFinder accurately infers single-base and doublet-base substitutions, as well as insertions and deletions to enhance the detection of ctDNA and clinically relevant mutational signatures.