Cancer is characterized by abnormal energy metabolism shaped by nutrient deprivation that malignant cells experience during various stages of tumor development. This study investigated the response of nutrient-deprived cancer cells and their non-malignant counterparts to sialic acid supplementation and found that cells utilize negligible amounts of this sugar for energy. Instead cells use sialic acid to maintain cell surface glycosylation through complementary mechanisms. First, levels of key metabolites (e.g., UDP-GlcNAc and CMP-Neu5Ac) required for glycan biosynthesis are maintained or enhanced upon Neu5Ac supplementation. In concert, sialyltransferase expression increased at both the mRNA and protein levels, which facilitated increased sialylation in biochemical assays that measure sialyltransferase activity as well as at the whole cell level. In the course of these experiments, several important differences emerged that differentiated the cancer cells from their normal counterparts including resistant to sialic acid-mediated energy depletion, consistently more robust sialic acid-mediated glycan display, and distinctive cell surface vs. internal vesicle display of newly-produced sialoglycans. Finally, the impact of sialic acid supplementation on specific markers implicated in cancer progression was demonstrated by measuring levels of expression and sialylation of EGFR1 and MUC1 as well as the corresponding function of sialic acid-supplemented cells in migration assays. These findings both provide fundamental insight into the biological basis of sialic acid supplementation of nutrient-deprived cancer cells and open the door to the development of diagnostic and prognostic tools.

The nine FDA-approved protein biomarkers for the diagnosis and management of cancer are approaching maturity, but their different glycosylation compositions relevant to early diagnosis still remain practically unexplored at the sub-glycoproteome scale. Lectins generally exhibit strong binding to specific sub-glycoproteome components and this property has been quite poorly addressed as the basis for the early diagnosis methods. Here, we discuss some glycoproteome issues that make tackling the glycoproteome particularly challenging in the cancer biomarkers field and include a brief view for next generation technologies.

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