TY - JOUR
T1 - Dynamics of tumor and immune responses during immune checkpoint blockade in non–small cell lung cancer
AU - Anagnostou, Valsamo
AU - Forde, Patrick M.
AU - White, James R.
AU - Niknafs, Noushin
AU - Hruban, Carolyn
AU - Naidoo, Jarushka
AU - Marrone, Kristen
AU - Ashok Sivakumar, I. K.
AU - Bruhm, Daniel C.
AU - Rosner, Samuel
AU - Phallen, Jillian
AU - Leal, Alessandro
AU - Adleff, Vilmos
AU - Smith, Kellie N.
AU - Cottrell, Tricia R.
AU - Rhymee, Lamia
AU - Palsgrove, Doreen N.
AU - Hann, Christine L.
AU - Levy, Benjamin
AU - Feliciano, Josephine
AU - Georgiades, Christos
AU - Verde, Franco
AU - Illei, Peter
AU - Li, Qing Kay
AU - Gabrielson, Edward
AU - Brock, Malcolm V.
AU - Isbell, James M.
AU - Sauter, Jennifer L.
AU - Taube, Janis
AU - Scharpf, Robert B.
AU - Karchin, Rachel
AU - Pardoll, Drew M.
AU - Chaft, Jamie E.
AU - Hellmann, Matthew D.
AU - Brahmer, Julie R.
AU - Velculescu, Victor E.
N1 - Funding Information:
This work was supported in part by U.S. NIH grants CA121113 (to V. Velculescu, V. Anagnostou), CA006973 (to D. Pardoll, V. Velculescu), CA180950 (to V. Velculescu), the Commonwealth Foundation (to V. Velculescu), the Bloomberg-Kimmel Institute for Cancer Immunotherapy (to V. Anagnostou, P. Forde, J. Brahmer, D. Pardoll, V. Velculescu), the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (to V. Velculescu), the Eastern Cooperative Oncology Group-American College of Radiology Imaging Network (to V. Anagnostou), MacMillan Foundation (to V. Anagnostou), the V Foundation (to V. Anagnostou, V. Velculescu), the ICTR-ATIP UL1TR001079 (to V. Anagnostou), the Pardee Foundation (to V. Anagnostou), Swim Across America (to V. Anagnostou), the William R. Brody Faculty Scholarship (to R. Karchin), the SU2C-ACS Lung Cancer Dream Team (to P. Forde and E. Gabrielson), PRIME Oncology (to J. Naidoo), the MSK Cancer Center Support Grant/Core Grant (P30 CA008747), the SU2C DCS International Translational Cancer Research Dream Team Grant (SU2C-AACR-DT1415; to V. Velculescu), the SU2C-LUNGevity-American Lung Association Lung Cancer Interception Dream Team, Translational Cancer Research Grant (SU2C-AACR-DT23-17 to J. Brahmer, V. Velculescu), the Allegheny Health Network – Johns Hopkins Research Fund (to V. Anagnostou, V. Velcu-lescu), the LUNGevity Foundation (to V. Anagnostou and P. Forde), the Mark Foundation (to A. Leal, V. Velculescu), and Bristol Meyers Squibb (to P. Forde). Stand Up To Cancer is a program of the Entertainment Industry Foundation administered by the American Association for Cancer Research. This publication was made possible in part by the Johns Hopkins Institute for Clinical and Translational Research (ICTR), which is funded in part by Grant Number UL1TR001079 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the Johns Hopkins ICTR, NCATS, or NIH. We thank Dr. Suzanne Topalian and members of our laboratories for helpful discussions and critical review of the manuscript.
Funding Information:
This work was supported in part by U.S. NIH grants CA121113 (to V. Velculescu, V. Anagnostou), CA006973 (to D. Pardoll, V. Velculescu), CA180950 (to V. Velculescu), the Commonwealth Foundation (to V. Velculescu), the Bloomberg-Kimmel Institute for Cancer Immunotherapy (to V. Anagnostou, P. Forde, J. Brahmer, D. Pardoll, V. Velculescu), the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (to V. Velculescu), the Eastern Cooperative Oncology Group- American College of Radiology Imaging Network (to V. Anagnostou), MacMillan Foundation (to V. Anagnostou), the V Foundation (to V. Anagnostou, V. Velculescu), the ICTR-ATIP UL1TR001079 (to V. Anagnostou), the Pardee Foundation (to V. Anagnostou), Swim Across America (to V. Anagnostou), the William R. Brody Faculty Scholarship (to R. Karchin), the SU2C-ACS Lung Cancer Dream Team (to P. Forde and E. Gabrielson), PRIME Oncology (to J. Naidoo), the MSK Cancer Center Support Grant/Core Grant (P30 CA008747), the SU2C DCS International Translational Cancer Research Dream Team Grant (SU2C-AACR-DT1415; to V. Velculescu), the SU2C-LUNGevity-American Lung Association Lung Cancer Interception Dream Team, Translational Cancer Research Grant (SU2C-AACR-DT23-17 to J. Brahmer, V. Velculescu), the Allegheny Health Network – Johns Hopkins Research Fund (to V. Anagnostou, V. Velculescu), the LUNGevity Foundation (to V. Anagnostou and P. Forde), the Mark Foundation (to A. Leal, V. Velculescu), and Bristol Meyers Squibb (to P. Forde). Stand Up To Cancer is a program of the Entertainment Industry Foundation administered by the American Association for Cancer Research. This publication was made possible in part by the Johns Hopkins Institute for Clinical and Translational Research (ICTR), which is funded in part by Grant Number UL1TR001079 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the Johns Hopkins ICTR, NCATS, or NIH. We thank Dr. Suzanne Topalian and members of our laboratories for helpful discussions and critical review of the manuscript.
Publisher Copyright:
© 2018 American Association for Cancer Research.
PY - 2019
Y1 - 2019
N2 - Despite the initial successes of immunotherapy, there is an urgent clinical need for molecular assays that identify patients more likely to respond. Here, we report that ultrasensitive measures of circulating tumor DNA (ctDNA) and T-cell expansion can be used to assess responses to immune checkpoint blockade in metastatic lung cancer patients (N ¼ 24). Patients with clinical response to therapy had a complete reduction in ctDNA levels after initiation of therapy, whereas nonresponders had no significant changes or an increase in ctDNA levels. Patients with initial response followed by acquired resistance to therapy had an initial drop followed by recrudescence in ctDNA levels. Patients without a molecular response had shorter progression-free and overall survival compared with molecular responders [5.2 vs. 14.5 and 8.4 vs. 18.7 months; HR 5.36; 95% confidence interval (CI), 1.57–18.35; P ¼ 0.007 and HR 6.91; 95% CI, 1.37–34.97; P ¼ 0.02, respectively], which was detected on average 8.7 weeks earlier and was more predictive of clinical benefit than CT imaging. Expansion of T cells, measured through increases of T-cell receptor productive frequencies, mirrored ctDNA reduction in response to therapy. We validated this approach in an independent cohort of patients with early-stage non–small cell lung cancer (N ¼ 14), where the therapeutic effect was measured by pathologic assessment of residual tumor after anti-PD1 therapy. Consistent with our initial findings, early ctDNA dynamics predicted pathologic response to immune checkpoint blockade. These analyses provide an approach for rapid determination of therapeutic outcomes for patients treated with immune checkpoint inhibitors and have important implications for the development of personalized immune targeted strategies.
AB - Despite the initial successes of immunotherapy, there is an urgent clinical need for molecular assays that identify patients more likely to respond. Here, we report that ultrasensitive measures of circulating tumor DNA (ctDNA) and T-cell expansion can be used to assess responses to immune checkpoint blockade in metastatic lung cancer patients (N ¼ 24). Patients with clinical response to therapy had a complete reduction in ctDNA levels after initiation of therapy, whereas nonresponders had no significant changes or an increase in ctDNA levels. Patients with initial response followed by acquired resistance to therapy had an initial drop followed by recrudescence in ctDNA levels. Patients without a molecular response had shorter progression-free and overall survival compared with molecular responders [5.2 vs. 14.5 and 8.4 vs. 18.7 months; HR 5.36; 95% confidence interval (CI), 1.57–18.35; P ¼ 0.007 and HR 6.91; 95% CI, 1.37–34.97; P ¼ 0.02, respectively], which was detected on average 8.7 weeks earlier and was more predictive of clinical benefit than CT imaging. Expansion of T cells, measured through increases of T-cell receptor productive frequencies, mirrored ctDNA reduction in response to therapy. We validated this approach in an independent cohort of patients with early-stage non–small cell lung cancer (N ¼ 14), where the therapeutic effect was measured by pathologic assessment of residual tumor after anti-PD1 therapy. Consistent with our initial findings, early ctDNA dynamics predicted pathologic response to immune checkpoint blockade. These analyses provide an approach for rapid determination of therapeutic outcomes for patients treated with immune checkpoint inhibitors and have important implications for the development of personalized immune targeted strategies.
UR - http://www.scopus.com/inward/record.url?scp=85062974749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062974749&partnerID=8YFLogxK
U2 - 10.1158/0008-5472.CAN-18-1127
DO - 10.1158/0008-5472.CAN-18-1127
M3 - Article
C2 - 30541742
AN - SCOPUS:85062974749
SN - 0008-5472
VL - 79
SP - 1214
EP - 1225
JO - Cancer Research
JF - Cancer Research
IS - 6
ER -