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Molecular signatures of tumor progression in myxoid liposarcoma identified by N-glycan mass spectrometry imaging

Authors :
Bram, Heijs
Stephanie, Holst-Bernal
Marieke A, de Graaff
Inge H, Briaire-de Bruijn
Mar, Rodriguez-Girondo
Michiel A J, van de Sande
Manfred, Wuhrer
Liam A, McDonnell
Judith V M G, Bovée
Source :
Laboratory investigation; a journal of technical methods and pathology. 100(9)
Publication Year :
2020

Abstract

Myxoid liposarcoma (MLS) is the second most common subtype of liposarcoma, accounting for ~6% of all sarcomas. MLS is characterized by a pathognomonic FUS-DDIT3, or rarely EWSR1-DDIT3, gene fusion. The presence of ≥5% hypercellular round cell areas is associated with a worse prognosis for the patient and is considered high grade. The prognostic significance of areas with moderately increased cellularity (intermediate) is currently unknown. Here we have applied matrix-assisted laser desorption/ionization mass spectrometry imaging to analyze the spatial distribution of N-linked glycans on an MLS microarray in order to identify molecular markers for tumor progression. Comparison of the N-glycan profiles revealed that increased relative abundances of high-mannose type glycans were associated with tumor progression. Concomitantly, an increase of the average number of mannoses on high-mannose glycans was observed. Although overall levels of complex-type glycans decreased, an increase of tri- and tetra-antennary N-glycans was observed with morphological tumor progression and increased tumor histological grade. The high abundance of tri-antennary N-glycan species was also associated with poor disease-specific survival. These findings mirror recent observations in colorectal cancer, breast cancer, ovarian cancer, and cholangiocarcinoma, and are in line with a general role of high-mannose glycans and higher-antennary complex-type glycans in cancer progression.

Details

ISSN :
15300307
Volume :
100
Issue :
9
Database :
OpenAIRE
Journal :
Laboratory investigation; a journal of technical methods and pathology
Accession number :
edsair.pmid..........32a8ff9e5210494431a9975b0e4edf3e