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Evidence-based Support for Phenotypic Drug Discovery in Acute Myeloid Leukemia

Overview
Specialty Pharmacology
Date 2022 Oct 15
PMID 36243303
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Abstract

The discovery and development of effective drugs for cancer patients has seen limited success in the clinic from phase I trials onward. The high attrition rate of current drug development approaches requires careful evaluation to provide a better understanding of the factors that correlate with or predict positive clinical outcomes. Here, we examine pre-clinical drug development approaches and conduct a meta-analysis of 2918 clinical studies involving 466 unique drugs tested in clinical trials for acute myeloid leukemia (AML). Our goal was to determine whether there are key shared pre-clinical characteristics that ultimately relate to successful or unsuccessful drugs in patients. We provide an evidence-based recommendation for the use of phenotypic drug discovery rather than other methods during pre-clinical development. Although our analysis was limited to AML, similar analyses are likely to be informative for other tumor-specific drug discovery campaigns, informing and improving the foundational discovery screens and platforms for other cancers.

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A Combinatorial Functional Precision Medicine Platform for Rapid Therapeutic Response Prediction in AML.

Sahib N, Mohamed J, Rashid M, Jayalakshmi , Lin Y, Chee Y Cancer Med. 2024; 13(22):e70401.

PMID: 39560206 PMC: 11574777. DOI: 10.1002/cam4.70401.