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Basket trials in rare diseases: a systematic review of current practices, methodological challenges, and future
Wael Khazen1, Solange Corriol-Rohou2, Teresinha Evangelista3
1AFM-Telethon, 1, rue de l'Internationale, BP 59, 91002, Evry cedex, France. wkhazen@afm-telethon.fr.
Abstract:
The development of therapies for rare diseases (RDs) continues to face persistent challenges, including small and geographically dispersed patient populations, pronounced clinical heterogeneity, and the absence of standardized outcome measures. Basket trials-master protocol studies evaluating a single therapeutic intervention across multiple diseases linked by shared molecular or clinical characteristics-offer a promising solution to these constraints. This systematic review identified 36 basket trials targeting RDs through comprehensive searches of clinical trial registries, academic databases, and grey literature. The majority (75%) focused on rare oncological indications, with only nine trials addressing non-oncological RDs. These non-oncological studies were highly heterogeneous, spread across 25 distinct conditions without overlap, and faced persistent challenges such as the lack of validated biomarkers and standardized endpoints. Most studies (81%) were Phase II trials, highlighting the exploratory role of basket designs in early-stage development. Trial designs were predominantly non-randomized and open-label (86%), reflecting the practical limitations of implementing rigorous methodologies in small, heterogeneous populations. The average trial duration was 6.5 years, and recruitment was logistically demanding, with trials involving a mean of 56 sites and, in some cases, over 1,000 centers. While basket trials show clear potential to accelerate therapeutic innovation in RDs, their application remains limited beyond oncology. Methodological constraints-such as inconsistent endpoints, limited randomization, and underpowered subgroup analyses-continue to restrict their broader use. Enhancing the utility of basket trials will require greater regulatory flexibility, wider adoption of adaptive and Bayesian designs, integration of real-world evidence, and stronger engagement with patients and advocacy groups. This review underscores both the opportunities and limitations of basket trials in RDs and provides a roadmap for realizing their potential, calling for concerted efforts from regulators, researchers, and patient advocates to expand their application and impact across the RDs spectrum.
Insights
Basket trials show promise for rare disease (RD) therapies by testing one treatment across multiple conditions. However, their use is limited, especially outside oncology, due to methodological challenges.
Area of Science:
- Clinical Trials
- Rare Diseases
- Oncology
Background:
- Developing therapies for rare diseases (RDs) is challenging due to small, dispersed populations, clinical heterogeneity, and lack of standardized outcomes.
- Basket trials, which test a single intervention across multiple related diseases, offer a potential solution to these constraints.
Purpose of the Study:
- To systematically review the application and limitations of basket trials in rare disease research.
- To identify trends, challenges, and opportunities for improving basket trial designs in RDs.
Main Methods:
- Systematic review of 36 basket trials targeting RDs identified through comprehensive searches of registries, databases, and grey literature.
- Analysis of trial characteristics including disease focus, phase, design, duration, and recruitment logistics.
Main Results:
- Most basket trials (75%) focused on rare oncological indications; only nine addressed non-oncological RDs.
- Non-oncological trials were highly heterogeneous, lacked validated biomarkers and standardized endpoints, and were predominantly Phase II, non-randomized, and open-label.
- Trials were logistically demanding, averaging 6.5 years and involving numerous sites.
Conclusions:
- Basket trials have potential for accelerating RD therapy development but are underutilized beyond oncology.
- Methodological constraints like inconsistent endpoints and limited randomization hinder broader application.
- Enhancements require regulatory flexibility, adaptive designs, real-world evidence integration, and patient/advocacy group engagement.
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