Literature DB >> 26311728

Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer.

Isaac Garcia-Murillas1, Gaia Schiavon2, Britta Weigelt3, Charlotte Ng3, Sarah Hrebien1, Rosalind J Cutts1, Maggie Cheang4, Peter Osin5, Ashutosh Nerurkar5, Iwanka Kozarewa1, Javier Armisen Garrido1, Mitch Dowsett2, Jorge S Reis-Filho3, Ian E Smith5, Nicholas C Turner6.   

Abstract

The identification of early-stage breast cancer patients at high risk of relapse would allow tailoring of adjuvant therapy approaches. We assessed whether analysis of circulating tumor DNA (ctDNA) in plasma can be used to monitor for minimal residual disease (MRD) in breast cancer. In a prospective cohort of 55 early breast cancer patients receiving neoadjuvant chemotherapy, detection of ctDNA in plasma after completion of apparently curative treatment-either at a single postsurgical time point or with serial follow-up plasma samples-predicted metastatic relapse with high accuracy [hazard ratio, 25.1 (confidence interval, 4.08 to 130.5; log-rank P < 0.0001) or 12.0 (confidence interval, 3.36 to 43.07; log-rank P < 0.0001), respectively]. Mutation tracking in serial samples increased sensitivity for the prediction of relapse, with a median lead time of 7.9 months over clinical relapse. We further demonstrated that targeted capture sequencing analysis of ctDNA could define the genetic events of MRD, and that MRD sequencing predicted the genetic events of the subsequent metastatic relapse more accurately than sequencing of the primary cancer. Mutation tracking can therefore identify early breast cancer patients at high risk of relapse. Subsequent adjuvant therapeutic interventions could be tailored to the genetic events present in the MRD, a therapeutic approach that could in part combat the challenge posed by intratumor genetic heterogeneity.
Copyright © 2015, American Association for the Advancement of Science.

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Year:  2015        PMID: 26311728     DOI: 10.1126/scitranslmed.aab0021

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  366 in total

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