Integrated proteomics and N-glycoproteomic characterization of glioblastoma multiform revealed N-glycosylation heterogeneities as well as alterations in sialyation and fucosylation.

Abstract

Background: Glioblastoma multiforme (GBM) is the most common malignant primary brain tumor. Notwithstanding tremendous efforts having been put in multi-omics research to profile the dysregulated molecular mechanisms and cellular pathways, there is still a lack of understanding about the glycoproteomic of GBM. Glycosylation as one of the most important post-translational modifications is crucial in regulating cell proliferation and relevant oncogenic pathways.

Results: In the study, we systematically profiled N-glycoproteomics of para-cancerous and cancerous tissues from GBM patients to reveal the site-specific N-glycosylation pattern defined by intact glycopeptides. We identified and quantified 1863 distinct intact glycopeptides (IGPs) with 161 N-linked glycan compositions and 326 glycosites. There were 396 IGPs from 43 glycoproteins differed between adjacent tissues and GBM. Then, proteomic and glycoproteomic data were combined, and the normalized glycosylation alteration was calculated to determine whether the difference was attributed to the global protein levels or glycosylation. The altered glycosylation triggered by site-specific N-glycans and glycoprotein abundance, as well as glycosite heterogeneity, were demonstrated. Ultimately, an examination of the overall glycosylation levels revealed a positive contribution of sialylated or/and fucosylated glycans.

Conclusions: Overall, the dataset highlighted molecular complexity and distinct profiling at translational and post-translational levels, providing valuable information for novel therapeutic approaches and specific detection strategies.