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Related Experiment Videos

Cancer proteomics: many technologies, one goal.

Thomas P Conrads1, Brian L Hood, Emmanuel F Petricoin

  • 1Laboratory of Proteomics & Analytical Technologies, SAIC-Frederick Inc., National Cancer Institute, Frederick, MD 21702, USA. conrads@ncifcrf.gov

Expert Review of Proteomics
|October 8, 2005
PubMed
Summary

The National Cancer Institute is using advanced proteomic technologies to find cancer biomarkers in patient samples. This multi-pronged approach aims to improve diagnostics and reduce cancer deaths.

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Area of Science:

  • Biochemistry
  • Oncology
  • Biotechnology

Background:

  • The National Cancer Institute aims to reduce cancer morbidity and mortality by 2015.
  • Proteomic technologies offer powerful tools for biomarker discovery in biological samples.
  • The -omics era has accelerated the potential for comprehensive biological sample analysis.

Purpose of the Study:

  • To review the National Cancer Institute's multipronged approach to identifying disease-specific biomarkers.
  • To discuss the role of proteomic technologies in achieving the National Cancer Institute's 2015 goal.
  • To highlight the potential of novel diagnostics and therapeutics derived from biomarker discovery.

Main Methods:

  • Leveraging data-gathering capabilities of proteomic technologies.

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  • Surveying biological samples (serum, plasma, urine, tissues) for biomarkers.
  • Employing a multipronged research strategy to identify specific biomarkers.

    • Main Results:

    • Proteomic technologies enable unprecedented analysis of biological samples for biomarkers.
    • Identifying disease-specific biomarkers is crucial for developing new diagnostics and therapeutics.
    • The optimal proteomic technologies for biomarker discovery are still under investigation.

    Conclusions:

    • A multipronged approach is essential for effective biomarker discovery in cancer research.
    • Proteomic technologies are key to advancing cancer diagnostics and therapeutics.
    • Continued research is needed to determine the most successful proteomic strategies for biomarker identification.