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Published on: November 2, 2013
Pre- and Post-analytical Factors in Biomarker Discovery
Frank Klont1, Peter Horvatovich1, Natalia Govorukhina1
1Department of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
Translating biomarker candidates from discovery to clinical assays is challenging due to pre- and post-analytical variability. Controlling these factors is crucial for successful biomarker development in proteomics.
Area of Science:
- Proteomics
- Biomarker Discovery
- Clinical Assays
Background:
- Translating biomarker candidates from discovery to clinical assays presents a significant challenge in proteomics.
- Many potential biomarkers fail to advance due to issues in the development pipeline.
- Pre- and post-analytical variability are frequently cited as major contributors to this bottleneck.
Purpose of the Study:
- To highlight key pre- and post-analytical factors impacting proteomics experiments.
- To provide guidance on controlling these factors for successful biomarker development.
- To offer insights based on examples from published proteomics studies.
Main Methods:
- Review of pre- and post-analytical factors in proteomics.
- Analysis of variability in biomarker discovery and validation.
- Case studies from published proteomics research.
Main Results:
- Identification of numerous pre- and post-analytical factors influencing proteomics outcomes.
- Demonstration of the impact of variability on biomarker translation.
- Guidance for mitigating variability in the biomarker pipeline.
Conclusions:
- Tight control of pre- and post-analytical factors is essential for advancing biomarker candidates.
- Addressing variability is critical to overcome the bottleneck in biomarker development.
- This work provides a framework for improving the reliability of proteomics-based clinical assays.
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