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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
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Biomarker discovery: success as a function of risk mitigation
1a Analytics LC-MS, R&D Early Development , Centralised and Point of Care Solutions, Roche Diagnostics , Penzberg , DE , Germany.
Summary
Discovering protein biomarkers for in vitro diagnostics faces challenges, but mass spectrometry-based proteomics offers new solutions. Mitigating risks in study design, sample properties, and validation is key to successful biomarker development.
Area of Science:
- Biomarker Discovery
- Proteomics
- In Vitro Diagnostics
Background:
- Protein biomarker discovery for in vitro diagnostics has limited success.
- Advancements in mass spectrometry-based quantitative proteomics offer new discovery avenues.
Purpose of the Study:
- To describe major risks in protein biomarker discovery.
- To propose solutions for mitigating these risks.
Main Methods:
- Review of challenges in biomarker discovery.
- Discussion of mass spectrometry-based quantitative proteomics.
- Analysis of critical factors: technology, sample properties, study design, validation.
Main Results:
- Identified key risks in the biomarker discovery pipeline.
- Highlighted the importance of technological choices, sample quality, robust study design, and rigorous validation.
- Presented potential solutions to overcome common hurdles.
Conclusions:
- Successful protein biomarker discovery requires careful mitigation of inherent risks.
- Integrating advanced proteomics technologies with sound experimental design is crucial for developing reliable in vitro diagnostic products.
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