Application of molecular technologies for phosphoproteomic analysis of clinical samples

M Pierobon1, J Wulfkuhle1, L Liotta1

  • 1Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.

Oncogene
|March 11, 2014
PubMed

Insights

New targeted cancer therapies focus on proteins, driving interest in monitoring phosphorylation changes. This review details proteomic platforms for identifying biomarkers in clinical specimens.

Area of Science:

  • Oncology
  • Proteomics
  • Biomarker Discovery

Background:

  • Targeted cancer therapeutics, including kinase inhibitors and monoclonal antibodies, directly target proteins.
  • Protein phosphorylation is a key mechanism regulating the activity of these drug targets.
  • There is a growing need for technologies to monitor proteome-wide post-translational modifications for biomarker identification.

Purpose of the Study:

  • To review proteomic platforms for measuring phosphorylation changes in clinical specimens.
  • To discuss the strengths, weaknesses, and challenges of phosphoproteome analysis.
  • To provide examples of these technologies in clinical applications.

Main Methods:

  • Review of established proteomic platforms: planar and bead arrays, reverse phase protein microarrays, phosphoflow, AQUA, and mass spectrometry.
  • Analysis of platform capabilities for measuring drug target and downstream substrate phosphorylation levels.
  • Examination of barriers and limitations in phosphoproteome analysis.

Main Results:

  • Several proteomic platforms are effective for quantifying phosphorylation levels in clinical samples.
  • Each platform possesses distinct advantages and disadvantages regarding sensitivity, throughput, and cost.
  • Significant challenges remain in phosphoproteome analysis, including sample preparation and data interpretation.

Conclusions:

  • Proteomic technologies are crucial for identifying predictive, prognostic, and therapeutic biomarkers in oncology.
  • Understanding the phosphoproteome aids in optimizing targeted cancer therapies.
  • Further technological advancements are needed to overcome current limitations in clinical phosphoproteomics.