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Updated: Apr 17, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Improving evidence developed from population-level experience with targeted agents
M B McClellan1, G W Daniel, D Dickson
1The Brookings Institution, Washington, DC, USA.
Abstract:
Off-label drug use is common in oncology, due in part to significant unmet medical need, the rarity of many cancers, and the difficulty of conducting randomized controlled trials (RCTs) to support labeling of every drug in every disease setting. As new drugs are developed for use in tumors defined by genomic aberrations, it may be scientifically reasonable to expect that a targeted anti-cancer agent with efficacy in a biomarker-defined population within one tumor type may also have activity in another tumor type expressing the same biomarker. Such expectations also fuel off-label prescribing. However, the current approach to prescribing targeted agents off-label does not capture patient outcomes, thus missing an opportunity to gather data that could validate this approach. We explore the potential for collecting such data, highlight two proposals for oncology-specific patient registries, and put forward considerations that should be addressed to move toward better evidence development around off-label use.
Insights
Off-label drug use in cancer care is common but lacks outcome data. Developing oncology patient registries can improve evidence for targeted therapies used in new settings.
Area of Science:
- Oncology
- Pharmacology
- Biostatistics
Background:
- Off-label drug prescribing is prevalent in oncology, driven by unmet medical needs and rare cancers.
- Targeted anti-cancer agents may show efficacy across tumor types with shared genomic biomarkers.
- Current off-label prescribing practices do not systematically capture patient outcomes.
Purpose of the Study:
- To explore methods for collecting patient outcome data for off-label drug use in oncology.
- To propose solutions for enhancing evidence development around targeted therapies used in new indications.
- To highlight the importance of patient registries in validating off-label prescribing.
Main Methods:
- Review of current practices in off-label oncology drug prescribing.
- Exploration of data collection strategies for patient outcomes.
- Presentation of two proposals for oncology-specific patient registries.
Main Results:
- Off-label use of targeted therapies is scientifically plausible but lacks robust outcome data.
- Patient registries offer a viable mechanism for collecting real-world evidence on off-label drug efficacy and safety.
- Key considerations for registry implementation include data standardization and ethical oversight.
Conclusions:
- Systematic data collection through patient registries is crucial for validating off-label targeted therapy use.
- Improved evidence development can optimize patient care and drug utilization in oncology.
- Future efforts should focus on establishing robust data infrastructure for off-label oncology drug use.
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