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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.
Abstract:
The last decade in oncology has been marked by the identification of numerous new potential cancer targets and even more agents designed to inhibit them. The matrix of new targets, new agents, and the companion diagnostics required to identify the right patient for the right drug has created a major challenge for the clinical trial process. This has been compounded by the addition of new immunomodulators targeting the host immune system rather than the tumor. Recognizing the need for new approaches, industry, investigators, and regulators have responded to this challenge. New clinical trial designs are being evaluated to incorporate the genomic sequence data being obtained almost routinely after cancer diagnosis. New dose-finding approaches are being proposed to identify the maximum effective dose rather than the maximum tolerated dose. The FDA is involved in the drug approval process from points early in development and has accepted registration quality data from expansion cohorts in support of drug approval. Despite progress on several fronts, many challenges remain, including the lack of predictability of preclinical data for clinical results and phase II data for phase III results, an infrastructure that can be an obstacle to clinical trial development and implementation, and the increasing use of contracted clinical research organizations that limit a fit-for-purpose approach to clinical trial execution. Perhaps most challenging and important of all are the difficulties with clinical trial accrual that can prevent study completion. Both the innovations and the challenges highlight the important role of process in progress in clinical oncology.
Insights
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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