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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Advancing Clinical Trials to Streamline Drug Development
Susan E Bates1, Donald A Berry2, Sanjeeve Balasubramaniam3
1Developmental Therapeutics Branch, National Cancer Institute, Bethesda, Maryland. seb2227@cumc.columbia.edu.
The oncology field faces challenges in clinical trials due to new targets, agents, and immunomodulators. Innovations in trial design and dose-finding are emerging, but patient accrual remains a significant hurdle.
Area of Science:
- Oncology
- Clinical Trial Design
- Drug Development
Background:
- The past decade has seen a surge in novel cancer targets and inhibitory agents, alongside companion diagnostics, complicating clinical trial processes.
- The introduction of immunomodulators targeting the host immune system adds another layer of complexity to cancer drug development.
Discussion:
- New clinical trial designs are being explored to integrate genomic data and novel dose-finding strategies (maximum effective dose over maximum tolerated dose).
- Regulatory bodies like the FDA are increasingly involved early in drug development, accepting data from expansion cohorts for drug approval.
- Challenges persist, including the unpredictability of preclinical and early-phase trial data, infrastructural obstacles, and the use of contract research organizations.
Key Insights:
- Innovations in clinical trial methodologies are adapting to the complexities of modern oncology drug development.
- Predictive accuracy of preclinical and early-phase data for later-stage outcomes remains a significant limitation.
- Efficient clinical trial execution is hampered by infrastructure limitations and the need for a fit-for-purpose approach.
Outlook:
- Addressing difficulties in clinical trial accrual is paramount for successful study completion and advancing cancer therapeutics.
- Continued process improvements and innovative strategies are essential for progress in clinical oncology.
- The integration of genomic data and novel trial designs holds promise for more effective cancer treatments.
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