TY - JOUR
T1 - Early noninvasive detection of response to targeted therapy in non–small cell lung cancer
AU - Phallen, Jillian
AU - Leal, Alessandro
AU - Woodward, Brian D.
AU - Forde, Patrick M.
AU - Naidoo, Jarushka
AU - Marrone, Kristen A.
AU - Brahmer, Julie R.
AU - Fiksel, Jacob
AU - Medina, Jamie E.
AU - Cristiano, Stephen
AU - Palsgrove, Doreen N.
AU - Gocke, Christopher D.
AU - Bruhm, Daniel C.
AU - Keshavarzian, Parissa
AU - Adleff, Vilmos
AU - Weihe, Elizabeth
AU - Anagnostou, Valsamo
AU - Scharpf, Robert B.
AU - Velculescu, Victor E.
AU - Husain, Hatim
N1 - Funding Information:
We thank members of our laboratories for critical review of the manuscript. We would like to thank Carolyn Hruban for help with artwork, and Ayesha Murtaza, Hannah Yang, Ajaz Bulbul, Fernando Lopez Diaz, Lyudmila Bazhe-nova, and William Mitchell for their contributions and thoughtful discussions. This work was supported in part by the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation, the SU2C-DCS Dream Team Translational Cancer Research Grant (SU2C-AACR-DT1415), the Stand Up To Cancer-LUN-Gevity-American Lung Association Lung Cancer Interception Dream Team Translational Cancer Research Grant (SU2C-AACR-DT23-17), the Commonwealth Foundation, The Cigarette Restitution Fund, IASLC/Prevent Cancer Foundation, the Mark Foundation for Cancer Research, and US NIH grants CA121113, CA006973, CA180950, and CA193145. Stand Up To Cancer is a division of the Entertainment Industry Foundation. Research grants are administered by the American Association for Cancer Research, the Scientific Partner of SU2C. Data for this study have been deposited in the database of Genotypes and Phenotypes (dbGaP, study ID 33305).
Publisher Copyright:
© 2018 American Association for Cancer Research.
PY - 2019
Y1 - 2019
N2 - 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 ¼ 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.
AB - 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 ¼ 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.
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U2 - 10.1158/0008-5472.CAN-18-1082
DO - 10.1158/0008-5472.CAN-18-1082
M3 - Article
C2 - 30573519
AN - SCOPUS:85062996650
SN - 0008-5472
VL - 79
SP - 1204
EP - 1213
JO - Cancer research
JF - Cancer research
IS - 6
ER -