In Situ N -Glycosylation Signatures of Epithelial Ovarian Cancer Tissue as Defined by MALDI Mass Spectrometry Imaging.
Marta GrzeskiEliane Tabea TaubeElena I BraicuJalid SehouliVéronique BlanchardOliver KleinPublished in: Cancers (2022)
The particularly high mortality of epithelial ovarian cancer (EOC) is in part linked to limited understanding of its molecular signatures. Although there are data available on in situ N -glycosylation in EOC tissue, previous studies focused primarily on neutral N -glycan species and, hence, still little is known regarding EOC tissue-specific sialylation. In this proof-of-concept study, we implemented MALDI mass spectrometry imaging (MALDI-MSI) in combination with sialic acid derivatization to simultaneously investigate neutral and sialylated N -glycans in formalin-fixed paraffin-embedded tissue microarray specimens of less common EOC histotypes and non-malignant borderline ovarian tumor (BOT). The applied protocol allowed detecting over 50 m/z species, many of which showed differential tissue distribution. Most importantly, it could be demonstrated that α2,6- and α2,3-sialylated N -glycans are enriched in tissue regions corresponding to tumor and adjacent tumor-stroma, respectively. Interestingly, analogous N -glycosylation patterns were observed in tissue cores of BOT, suggesting that regio-specific N -glycan distribution might occur already in non-malignant ovarian pathologies. All in all, our data provide proof that the combination of MALDI-MSI and sialic acid derivatization is suitable for delineating regio-specific N -glycan distribution in EOC and BOT tissues and might serve as a promising strategy for future glycosylation-based biomarker discovery studies.
Keyphrases
- mass spectrometry
- liquid chromatography
- high resolution
- gas chromatography
- high performance liquid chromatography
- randomized controlled trial
- ms ms
- gene expression
- small molecule
- electronic health record
- simultaneous determination
- liquid chromatography tandem mass spectrometry
- tandem mass spectrometry
- type diabetes
- capillary electrophoresis
- risk factors
- cardiovascular events
- high resolution mass spectrometry
- genome wide
- coronary artery disease
- high throughput
- data analysis