Open AccessAbstract 5666: A noninvasive approach for early prediction of therapeutic benefit from immune checkpoint inhibition for lung cancer
Author(s) -
Barzin Y. Nabet,
Mohammad Shahrokh Esfahani,
Emily G. Hamilton,
Jacob J. Chabon,
Everett J. Moding,
Hira Rizvi,
Chloé B. Steen,
Aadel A. Chaudhuri,
Chih Long Liu,
Angela B. Hui,
Henning Stehr,
Linda Goljenola,
Michael C. Jin,
Young-Jun Jeon,
Diane Tseng,
Taha Merghoub,
Joel W. Neal,
Heather A. Wakelee,
Sukhmani K. Padda,
Kavitha Ramchandran,
Millie Das,
Rene F. Bonilla,
Christopher H. Yoo,
Emily L. Chen,
Ryan B. Ko,
Aaron M. Newman,
Matthew D. Hellmann,
Ash A. Alizadeh,
Maximilian Diehn
Publication year - 2020
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 1.055
H-Index - 84
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2020-5666
Subject(s) - lung cancer , immunotherapy , immune system , medicine , oncology , circulating tumor dna , cancer , immunology