An experimental guideline for the analysis of histologically heterogeneous tumors by MALDI-TOF mass spectrometry imaging

Sha Lou, Benjamin Balluff, Arjen H. G. Cleven, Judith V. M. G. Bovee, Liam A. McDonnell*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Web of Science)

Abstract

Mass spectrometry imaging (MSI) has been widely used for the direct molecular assessment of tissue samples and has demonstrated great potential to complement current histopathological methods in cancer research. It is now well established that tissue preparation is key to a successful MSI experiment; for histologically heterogeneous tumor tissues, other parts of the workflow are equally important to the experiment's success. To demonstrate these facets here we describe a matrix-assisted laser desorption/ionization MSI biomarker discovery investigation of high-grade, complex karyotype sarcomas, which often have histological overlap and moderate response to chemo-/radio-therapy. Multiple aspects of the workflow had to be optimized, ranging from the tissue preparation and data acquisition protocols, to the post-MSI histological staining method, data quality control, histology-defined data selection, data processing and statistical analysis. Only as a result of developing every step of the biomarker discovery workflow was it possible to identify a panel of protein signatures that could distinguish between different subtypes of sarcomas or could predict patient survival outcome. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann. (C) 2016 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)957-966
Number of pages10
JournalBiochimica et Biophysica Acta-Proteins and Proteomics
Volume1865
Issue number7
DOIs
Publication statusPublished - Jul 2017

Keywords

  • Biomarker discovery
  • Mass spectrometry imaging
  • High grade sarcoma
  • Protocol optimization
  • HIGH-SPATIAL-RESOLUTION
  • TISSUE-SECTIONS
  • CLASSICAL HISTOLOGY
  • PROTEIN SENSITIVITY
  • BIOLOGICAL SAMPLES
  • EXPRESSION
  • DISCOVERY
  • CANCER
  • TOOL
  • MS

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