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The Challenges in Blood Proteomic Biomarker Discovery

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Computational Biology

Abstract

Although discovering proteomic biomarker by using mass spectrometry technique is promising, its rate of introducing proteomic biomarker approved by the US Food and Drug Administration is falling every year and nearly 1 per year on an average since 1998. Apparently, there is a big gap between biomarker discovery and biomarker validation. Here, we reviewed the challenges appearing in the three key stages for the pipeline of proteomic biomarker, that is, blood sample preparation, bioinformatics algorithms for biomarker candidate discovery, and validation and clinical application of proteomic biomarkers. To analyze and explain the reasons for the gap between biomarker discovery and validation, we covered areas ranging from the techniques/methods used in biomarker discovery and their related biological backgrounds to the existing problems in these techniques/methods.

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Acknowledgements

This research is funded by the Bioinformatics Core Research Grant at The Methodist Research Institute, Cornell University. Dr. Zhou is partially funded by The Methodist Hospital Scholarship Award. He and Dr. Wong are also partially funded by NIH grants R01LM08696, R01LM009161, and R01AG028928. The authors have declared no conflict of interest.

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    Xiaobo Zhou

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  3. Honghui Wang
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  4. Stephen T. C. Wong
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Corresponding author

Correspondence to Xiaobo Zhou .

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Editors and Affiliations

  1. Discipline of Information Technology, James Cook University, Townsville, 4811, Australia

    Tuan Pham

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© 2009 Springer Science+Business Media, LLC

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Jin, G., Zhou, X., Wang, H., Wong, S.T.C. (2009). The Challenges in Blood Proteomic Biomarker Discovery. In: Pham, T. (eds) Computational Biology. Applied Bioinformatics and Biostatistics in Cancer Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0811-7_12

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