Study Design Considerations for Cancer Biomarker Discoveries

Area of Science:

• Biomarker Discovery
• Translational Research
• Clinical Diagnostics

Background:

• Biomarker discovery studies generate vast omic data, yet few novel biomarkers achieve clinical application.
• Existing research often lacks rigorous study designs, hindering translation.
• Need for standardized guidelines to improve biomarker discovery and validation.

Purpose of the Study:

• To outline essential design principles for rigorous biomarker discovery.
• To propose methods for mitigating biases in omic data generation and analysis.
• To emphasize the importance of clinical context in study design.

Main Methods:

• Adaptation of prospective-specimen collection and retrospective-blinded-evaluation (PRoBE) design principles.
• Recommendation for establishing quality biospecimen repositories.
• Utilizing matched two-phase designs for efficiency and bias reduction.
• Incorporating clinical context into sample selection and power calculations.

Main Results:

• PRoBE design principles can effectively mitigate biases in sample selection, outcome ascertainment, and sample handling.
• Matched two-phase designs in biospecimen repositories enhance efficiency and minimize bias.
• Consideration of clinical application and performance characteristics leads to more fruitful discovery.

Conclusions:

• Adherence to rigorous design principles, particularly in sample selection, is vital for biomarker discovery.
• Prospective-specimen collection and retrospective-blinded-evaluation (PRoBE) designs offer a robust framework.
• Integrating clinical context and employing sound methodological approaches will enhance the quality and clinical rigor of biomarker discovery studies.