Proteomic profiles of thyroid tumors by mass spectrometry-imaging on tissue microarrays

Biochim Biophys Acta Proteins Proteom. 2017 Jul;1865(7):817-827. doi: 10.1016/j.bbapap.2016.11.020. Epub 2016 Dec 9.

Abstract

The current study proposes the successful use of a mass spectrometry-imaging technology that explores the composition of biomolecules and their spatial distribution directly on-tissue to differentially classify benign and malignant cases, as well as different histotypes. To identify new specific markers, we investigated with this technology a wide histological Tissue Microarray (TMA)-based thyroid lesion series. Results showed specific protein signatures for malignant and benign specimens and allowed to build clusters comprising several proteins with discriminant capabilities. Among them, FINC, ACTB1, LMNA, HSP7C and KAD1 were identified by LC-ESI-MS/MS and found up-expressed in malignant lesions. These findings represent the opening of further investigations for their translation into clinical practice, e.g. for setting up new immunohistochemical stainings, and for a better understanding of thyroid lesions. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.

Keywords: Cancer; Mass spectrometry imaging; Proteomics; Thyroid; Tissue microarray.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers, Tumor / metabolism
  • Chromatography, Liquid / methods
  • Female
  • Humans
  • Male
  • Middle Aged
  • Proteome / metabolism*
  • Proteomics / methods
  • Tandem Mass Spectrometry / methods
  • Thyroid Gland / metabolism
  • Thyroid Gland / physiology
  • Thyroid Neoplasms / metabolism*
  • Thyroid Neoplasms / pathology*
  • Young Adult

Substances

  • Biomarkers, Tumor
  • Proteome