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Assessing the translational value of pre-clinical studies for clinical response rate in oncology: an exploratory investigation of 42 FDA-approved small-molecule targeted anticancer drugs.

Wenying Angela LiuLi YuPeter N MorcosFrancois MercierBarbara J Brennan
Published in: Cancer chemotherapy and pharmacology (2020)
Relationships were identified for ratios of efficacious clinical exposures to typical preclinical pharmacology data and ORR for KIST in this retrospective analysis. Although the obtained datasets are limited, the relationships demonstrate that a systemic exposure relative to established pre-clinical pharmacology experiments for an investigational KIST could be used as a reference to assess if desired efficacy could be achieved. This approach may assist selection of the recommended phase 2 dose (RP2D) of an investigational drug.
Keyphrases
  • small molecule
  • stem cells
  • emergency department
  • machine learning
  • clinical trial
  • randomized controlled trial
  • big data
  • deep learning
  • artificial intelligence
  • cell therapy
  • protein protein
  • data analysis
  • double blind