Growth‐rate model predicts in vivo tumor response from in vitro data

• Main Authors: Rocky Diegmiller (Author), Laurent Salphati (Author), Bruno Alicke (Author), Timothy R. Wilson (Author), Thomas J. Stout (Author), Marc Hafner (Author)
• Format: Book
• Published: Wiley, 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract A major challenge in oncology drug development is to elucidate why drugs that show promising results in cancer cell lines in vitro fail in mouse studies or human trials. One of the fundamental steps toward solving this problem is to better predict how in vitro potency translates into in viv...