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Bioinformatics advances for clinical biomarker development
Kenneth Ph Pritzker1, Laura B Pritzker
1Laboratory Medicine and Pathobiology;Surgery, University of Toronto, Pathologist, Mount Sinai Hospital, 600 University Avenue, Toronto, Ontario, M5G 1X5 , Canada +647 221 6909 ; +416 586 8628 ; kpritzker@mtsinai.on.ca.
Expert Opinion on Medical Diagnostics
|March 14, 2013
Summary
Bioinformatics is crucial for biomarker development, yet few reach clinical practice. Improving data quality and bioinformatics tools can accelerate biomarker translation to the clinic.
Area of Science:
- Biomedical Informatics
- Translational Bioinformatics
Background:
- Bioinformatics is essential for biomarker discovery, validation, and clinical implementation.
- Despite significant investment, few candidate biomarkers have successfully transitioned into clinical practice.
- Bioinformatics plays a central role throughout the entire biomarker development lifecycle.
Purpose of the Study:
- To review bioinformatics advancements relevant to each stage of biomarker development.
- To propose bioinformatics strategies for facilitating biomarker clinical translation.
- To describe the current role of bioinformatics in biomarker development and associated controversies.
Main Methods:
- Review of literature from 2000 to June 2011 focusing on clinical biomarker development.
- Examination of bioinformatics tools, techniques, and resources.
- Analysis of controversies in biomarker development stages.
Main Results:
- Bioinformatics advances impact all phases of biomarker development.
- Current bioinformatics approaches face challenges in biomarker translation.
- Controversies exist within various stages of biomarker development.
Conclusions:
- Enhanced biomarker development necessitates higher quality database input.
- Improved bioinformatics tools are needed to define clear acceptance criteria for each development stage.
- Increased and improved database linkages are critical for successful biomarker translation.
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