Translating N-Glycan analytical applications into clinical strategies for ovarian cancer

Matthew T. Briggs, Mark R. Condina, Manuela Klingler-Hoffmann, Georgia Arentz, Arun V. Everest-Dass, Gurjeet Kaur, Martin K. Oehler, Nicolle H. Packer, Peter Hoffmann*

*Corresponding author for this work

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Protein glycosylation, particularly N-linked glycosylation, is a complex posttranslational modification (PTM), which plays an important role in protein folding and conformation, regulating protein stability and activity, cell–cell interaction, and cell signaling pathways. This review focuses on analytical techniques, primarily MS-based techniques, to qualitatively and quantitatively assess N-glycosylation while successfully characterizing compositional, structural, and linkage features with high specificity and sensitivity. The analytical techniques explored in this review include LC–ESI–MS/MS and MALDI time-of-flight MS (MALDI-TOF-MS), which have been used to analyze clinical samples, such as serum, plasma, ascites, and tissue. Targeting the aberrant N-glycosylation patterns observed in MALDI–MS imaging (MSI) offers a platform to visualize N-glycans in tissue-specific regions. The studies on the intra-patient (i.e., a comparison of tissue-specific regions from the same patient) and inter-patient (i.e., a comparison of tissue-specific regions between different patients) variation of early- and late-stage ovarian cancer (OC) patients identify specific N-glycan differences that improve understanding of the tumor microenvironment and potentially improve therapeutic strategies for the clinic.

Original languageEnglish
Article number1800099
Number of pages15
JournalProteomics - Clinical Applications
Volume13
Issue number3
Early online date27 Oct 2018
DOIs
Publication statusPublished - May 2019

Keywords

  • N-glycan
  • MALDI
  • mass spectrometry imaging
  • ovarian cancer
  • FFPE
  • tissue

Fingerprint Dive into the research topics of 'Translating N-Glycan analytical applications into clinical strategies for ovarian cancer'. Together they form a unique fingerprint.

  • Cite this

    Briggs, M. T., Condina, M. R., Klingler-Hoffmann, M., Arentz, G., Everest-Dass, A. V., Kaur, G., ... Hoffmann, P. (2019). Translating N-Glycan analytical applications into clinical strategies for ovarian cancer. Proteomics - Clinical Applications, 13(3), [1800099]. https://doi.org/10.1002/prca.201800099