| Literature DB >> 30573519 |
Jillian Phallen1, Alessandro Leal1, Brian D Woodward2, Patrick M Forde1, Jarushka Naidoo1, Kristen A Marrone1, Julie R Brahmer1, Jacob Fiksel1, Jamie E Medina1, Stephen Cristiano1, Doreen N Palsgrove1, Christopher D Gocke1, Daniel C Bruhm1, Parissa Keshavarzian2, Vilmos Adleff1, Elizabeth Weihe2, Valsamo Anagnostou1, Robert B Scharpf1, Victor E Velculescu3, Hatim Husain4.
Abstract
With the advent of precision oncology, there is an urgent need to develop improved methods for rapidly detecting responses to targeted therapies. Here, we have developed an ultrasensitive measure of cell-free tumor load using targeted and whole-genome sequencing approaches to assess responses to tyrosine kinase inhibitors in patients with advanced lung cancer. Analyses of 28 patients treated with anti-EGFR or HER2 therapies revealed a bimodal distribution of cell-free circulating tumor DNA (ctDNA) after therapy initiation, with molecular responders having nearly complete elimination of ctDNA (>98%). Molecular nonresponders displayed limited changes in ctDNA levels posttreatment and experienced significantly shorter progression-free survival (median 1.6 vs. 13.7 months, P < 0.0001; HR = 66.6; 95% confidence interval, 13.0-341.7), which was detected on average 4 weeks earlier than CT imaging. ctDNA analyses of patients with radiographic stable or nonmeasurable disease improved prediction of clinical outcome compared with CT imaging. These analyses provide a rapid approach for evaluating therapeutic response to targeted therapies and have important implications for the management of patients with cancer and the development of new therapeutics.Significance: Cell-free tumor load provides a novel approach for evaluating longitudinal changes in ctDNA during systemic treatment with tyrosine kinase inhibitors and serves an unmet clinical need for real-time, noninvasive detection of tumor response to targeted therapies before radiographic assessment.See related commentary by Zou and Meyerson, p. 1038. ©2018 American Association for Cancer Research.Entities:
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Year: 2018 PMID: 30573519 PMCID: PMC6481620 DOI: 10.1158/0008-5472.CAN-18-1082
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701