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Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies
Steven J Skates1, Michael A Gillette, Joshua LaBaer
1Biostatistics Center, Massachusetts General Hospital Cancer Center , Boston, Massachusetts 02114, United States.
Developing robust protein biomarkers for cancer requires overcoming analytical and clinical hurdles. This study introduces a statistical framework to determine appropriate sample sizes for proteomic studies, enhancing biomarker discovery and verification.
Area of Science:
- Proteomics and Biomarker Discovery
- Cancer Biology and Diagnostics
Background:
- Protein biomarkers are crucial for advancing cancer diagnosis, monitoring, and treatment.
- Current proteomics technologies face challenges in sample throughput and statistical power due to inadequate experimental design in clinical studies.
- Overcoming analytical and clinical hurdles is essential for validating promising protein biomarker candidates.
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