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Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA

  • Tim Forshew
  • , Muhammed Murtaza
  • , Christine Parkinson
  • , Davina Gale
  • , Dana W.Y. Tsui
  • , Fiona Kaper
  • , Sarah Jane Dawson
  • , Anna M. Piskorz
  • , Mercedes Jimenez-Linan
  • , David Bentley
  • , James Hadfield
  • , Andrew P. May
  • , Carlos Caldas
  • , James D. Brenton*
  • , Nitzan Rosenfeld
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1133 Scopus citations

Abstract

Plasma of cancer patients contains cell-free tumor DNA that carries information on tumor mutations and tumor burden. Individual mutations have been probed using allele-specific assays, but sequencing of entire genes to detect cancer mutations in circulating DNA has not been demonstrated. We developed a method for tagged-amplicon deep sequencing (TAm-Seq) and screened 5995 genomic bases for low-frequency mutations. Using this method, we identified cancer mutations present in circulating DNA at allele frequencies as low as 2%, with sensitivity and specificity of >97%. We identified mutations throughout the tumor suppressor gene TP53 in circulating DNA from 46 plasma samples of advanced ovarian cancer patients. We demonstrated use of TAm-Seq to noninvasively identify the origin of metastatic relapse in a patient with multiple primary tumors. In another case, we identified in plasma an EGFR mutation not found in an initial ovarian biopsy. We further used TAm-Seq to monitor tumor dynamics, and tracked 10 concomitant mutations in plasma of a metastatic breast cancer patient over 16 months. This low-cost, high-throughput method could facilitate analysis of circulating DNA as a noninvasive "liquid biopsy" for personalized cancer genomics.

Original languageEnglish
Article number136ra68
JournalScience Translational Medicine
Volume4
Issue number136
DOIs
StatePublished - 30 May 2012
Externally publishedYes

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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