Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA

Tim Forshew(Cancer Research UK), Muhammed Murtaza(University of Cambridge), Christine Parkinson(University of Cambridge), Davina Gale(Cancer Research UK), Dana W.Y. Tsui(Cancer Research UK), Fiona Kaper(Fluidigm (United States)), Sarah‐Jane Dawson(University of Cambridge), Anna Piskorz(University of Cambridge), Mercedes Jimenez‐Liñan(Cambridge University Hospitals NHS Foundation Trust), David Bentley(Illumina (United Kingdom)), James Hadfield(Cancer Research UK), Andrew P. May(Fluidigm (United States)), Carlos Caldas(University of Cambridge), James D. Brenton(University of Cambridge), Nitzan Rosenfeld(University of Cambridge)
Science Translational Medicine
May 30, 2012
Cited by 1,312

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.


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