Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling

  1. Joseph D Butner
  2. Geoffrey V Martin
  3. Zhihui Wang  Is a corresponding author
  4. Bruna Corradetti
  5. Mauro Ferrari
  6. Nestor Esnaola
  7. Caroline Chung
  8. David S Hong
  9. James W Welsh
  10. Naomi Hasegawa
  11. Elizabeth A Mittendorf
  12. Steven A Curley
  13. Shu-Hsia Chen
  14. Ping-Ying Pan
  15. Steven K Libutti
  16. Shridar Ganesan
  17. Richard L Sidman
  18. Renata Pasqualini
  19. Wadih Arap
  20. Eugene J Koay  Is a corresponding author
  21. Vittorio Cristini
  1. The Houston Methodist Research Institute, United States
  2. The University of Texas MD Anderson Cancer Center, United States
  3. University of Texas Health Science Center, United States
  4. Brigham and Women's Hospital, United States
  5. Baylor College of Medicine, United States
  6. Rutgers University, United States
  7. Harvard Medical School, United States
  8. Rutgers Cancer Institute of New Jersey, United States
  9. University of Texas MD Anderson Cancer Center, United States
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  1. Joseph D Butner
  2. Geoffrey V Martin
  3. Zhihui Wang
  4. Bruna Corradetti
  5. Mauro Ferrari
  6. Nestor Esnaola
  7. Caroline Chung
  8. David S Hong
  9. James W Welsh
  10. Naomi Hasegawa
  11. Elizabeth A Mittendorf
  12. Steven A Curley
  13. Shu-Hsia Chen
  14. Ping-Ying Pan
  15. Steven K Libutti
  16. Shridar Ganesan
  17. Richard L Sidman
  18. Renata Pasqualini
  19. Wadih Arap
  20. Eugene J Koay
  21. Vittorio Cristini
(2021)
Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling
eLife 10:e70130.
https://doi.org/10.7554/eLife.70130