Advances in Mass Spectrometry of Gangliosides Expressed in Brain Cancers

Author:

Biricioiu Maria Roxana12,Sarbu Mirela1,Ica Raluca1,Vukelić Željka3,Kalanj-Bognar Svjetlana4,Zamfir Alina D.15

Affiliation:

1. National Institute for Research and Development in Electrochemistry and Condensed Matter, 300224 Timisoara, Romania

2. Faculty of Physics, West University of Timisoara, 300223 Timisoara, Romania

3. Department of Chemistry and Biochemistry, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia

4. Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia

5. Department of Technical and Natural Sciences, “Aurel Vlaicu” University of Arad, 310330 Arad, Romania

Abstract

Gangliosides are highly abundant in the human brain where they are involved in major biological events. In brain cancers, alterations of ganglioside pattern occur, some of which being correlated with neoplastic transformation, while others with tumor proliferation. Of all techniques, mass spectrometry (MS) has proven to be one of the most effective in gangliosidomics, due to its ability to characterize heterogeneous mixtures and discover species with biomarker value. This review highlights the most significant achievements of MS in the analysis of gangliosides in human brain cancers. The first part presents the latest state of MS development in the discovery of ganglioside markers in primary brain tumors, with a particular emphasis on the ion mobility separation (IMS) MS and its contribution to the elucidation of the gangliosidome associated with aggressive tumors. The second part is focused on MS of gangliosides in brain metastases, highlighting the ability of matrix-assisted laser desorption/ionization (MALDI)-MS, microfluidics-MS and tandem MS to decipher and structurally characterize species involved in the metastatic process. In the end, several conclusions and perspectives are presented, among which the need for development of reliable software and a user-friendly structural database as a search platform in brain tumor diagnostics.

Funder

Romanian National Authority for Scientific Research, UEFISCDI

Publisher

MDPI AG

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