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Hurry Up and Wait: Timelines and Takeaways from the Biomarker Qualification Program
Grace Collins1, Jeff D Allen2, Hillary S Andrews2
1Friends of Cancer Research, 1800 M Street NW, Suite 1050 South, Washington, DC, USA. gcollins@focr.org.
Therapeutic Innovation & Regulatory Science
|October 27, 2025
Summary
The Biomarker Qualification Program (BQP) has facilitated some biomarker development but shows limited success for novel surrogate endpoints. Longer timelines suggest the BQP may not be ideal for advancing these response biomarkers.
Area of Science:
- Biomarker Development
- Regulatory Science
- Drug Development Tools
Background:
- The Biomarker Qualification Program (BQP) was established in 2016 to facilitate the development of novel biomarkers for regulatory use.
- This study evaluates eight years of BQP experience to assess its effectiveness in qualifying new biomarkers.
Purpose of the Study:
- To assess the effectiveness of the Biomarker Qualification Program (BQP) in facilitating the qualification of novel biomarkers.
- To identify trends and challenges in the BQP process, particularly for surrogate endpoint biomarkers.
Main Methods:
- Data on accepted biomarker qualification projects were collected from the FDA's Drug Development Tool Qualification Project Search database.
- Characteristics and submission dates of 61 accepted projects were analyzed.
Main Results:
- Safety, Diagnostic, and PD Response biomarkers were most common; molecular and radiologic/imaging methods predominated.
- Half of projects stalled at the Letter of Intent (LOI) stage, with only eight biomarkers fully qualified.
- Review timelines frequently exceeded targets, and Qualification Plan (QP) development was lengthy, especially for surrogate endpoints.
Conclusions:
- The BQP supports certain biomarker types but has limited utility for novel surrogate endpoints due to extended development timelines.
- The program may not be optimally suited for advancing novel response biomarkers.
- A dedicated program could better support the development of novel surrogate measures for broader drug development applications.

