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Clinical trial designs incorporating predictive biomarkers
Lindsay A Renfro1, Himel Mallick2, Ming-Wen An3
1Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Cancer Treatment Reviews
|February 2, 2016
Summary
Traditional cancer trials are evolving. Novel clinical trial designs are crucial for targeted oncology therapies, especially when analyzing patient biomarkers and treatment response in diverse cancer populations.
Area of Science:
- Oncology
- Clinical Trial Design
- Biostatistics
Background:
- Traditional cancer therapy development relied on sequential trials (Phase I-III) in homogeneous patient groups.
- Molecular understanding of cancer necessitates new trial designs for targeted therapies and biomarker-driven treatments.
- Existing designs struggle to address the complexity of personalized cancer medicine.
Purpose of the Study:
- To review the literature on clinical trial designs for targeted cancer agents.
- To explore designs accommodating patient subgroups defined by biomarkers or genetic mutations.
- To discuss real-world applications, advantages, and challenges of biomarker-based trial designs.
Main Methods:
- Literature review of clinical trial design methodologies.
- Analysis of proposed and existing biomarker-driven trial designs.
- Case studies of implemented biomarker-based trials in oncology.
Main Results:
- Identified a range of innovative trial designs beyond traditional phase I-III structures.
- Highlighted the utility of biomarker-based designs for targeted therapies.
- Discussed practical considerations and limitations encountered in real-world applications.
Conclusions:
- Biomarker-driven clinical trial designs are essential for advancing targeted cancer therapies.
- Novel designs are needed to match the increasing stratification of cancer based on individual patient and tumor characteristics.
- Continued innovation in trial design is critical for the future of precision oncology research.
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