A noninvasive approach for early prediction of therapeutic benefit from immune checkpoint inhibition for lung cancer Meeting Abstract


Authors: Nabet, B. Y.; Esfahani, M. S.; Hamilton, E. G.; Chabon, J. J.; Moding, E. J.; Rizvi, H.; Steen, C. B.; Chaudhuri, A. A.; Liu, C. L.; Hui, A. B.; Stehr, H.; Goljenola, L.; Jin, M. C.; Jeon, Y. J.; Tseng, D.; Merghoub, T.; Neal, J. W.; Wakelee, H. A.; Padda, S. K.; Ramchandran, K. J.; Das, M.; Bonilla, R. F.; Yoo, C.; Chen, E. L.; Ko, R. B.; Newman, A. M.; Hellmann, M. D.; Alizadeh, A. A.; Diehn, M.
Abstract Title: A noninvasive approach for early prediction of therapeutic benefit from immune checkpoint inhibition for lung cancer
Meeting Title: 111th Annual Meeting of the American Association for Cancer Research (AACR)
Journal Title: Cancer Research
Volume: 80
Issue: 16 Suppl.
Meeting Dates: 2020 Apr 27-28/Jun 22-24
Meeting Location: Philadelphia, PA
ISSN: 0008-5472
Publisher: American Association for Cancer Research  
Date Published: 2020-08-01
Language: English
ACCESSION: WOS:000590059306446
DOI: 10.1158/1538-7445.Am2020-5666
PROVIDER: wos
Notes: Meeting Abstract: 5666 -- Due to COVID-19 pandemic, the conference was held virtually -- Source: Wos
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  1. Taha Merghoub
    364 Merghoub
  2. Hira Abbas Rizvi
    122 Rizvi