Deciphering lymphoma pathogenesis via state-of-the-art mass spectrometry-based quantitative proteomics

J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Mar 15:1047:2-14. doi: 10.1016/j.jchromb.2016.11.005. Epub 2016 Nov 15.

Abstract

Mass spectrometry-based quantitative proteomics specifically applied to comprehend the pathogenesis of lymphoma has incremental value in deciphering the heterogeneity in complex deregulated molecular mechanisms/pathways of the lymphoma entities, implementing the current diagnostic and therapeutic strategies. Essential global, targeted and functional differential proteomics analyses although still evolving, have been successfully implemented to shed light on lymphoma pathogenesis to discover and explore the role of potential lymphoma biomarkers and drug targets. This review aims to outline and appraise the present status of MS-based quantitative proteomic approaches in lymphoma research, introducing the current state-of-the-art MS-based proteomic technologies, the opportunities they offer in biological discovery in human lymphomas and the related limitation issues arising from sample preparation to data evaluation. It is a synopsis containing information obtained from recent research articles, reviews and public proteomics repositories (PRIDE). We hope that this review article will aid, assimilate and assess all the information aiming to accelerate the development and validation of diagnostic, prognostic or therapeutic targets for an improved and empowered clinical proteomics application in lymphomas in the nearby future.

Keywords: Interactomics; Lymphoma; Mass spectrometry; Protein modifications; Quantitative proteomics; Targeted proteomics.

Publication types

  • Review

MeSH terms

  • Animals
  • Biomarkers, Tumor / analysis
  • Biomarkers, Tumor / metabolism
  • Humans
  • Lymphoma / metabolism
  • Lymphoma / pathology*
  • Mass Spectrometry / instrumentation
  • Mass Spectrometry / methods*
  • Protein Interaction Mapping / instrumentation
  • Protein Interaction Mapping / methods
  • Protein Processing, Post-Translational
  • Proteins / analysis
  • Proteins / metabolism*
  • Proteomics / instrumentation
  • Proteomics / methods*

Substances

  • Biomarkers, Tumor
  • Proteins