The emerging role of glycoproteomics in cancer biomarker discovery

Obasuyi, Grace Eleojo (2025) The emerging role of glycoproteomics in cancer biomarker discovery. International Journal of Science and Research Archive, 16 (1). pp. 2148-2156. ISSN 2582-8185

Cancer continues to be a major global health burden, responsible for one in six deaths worldwide. Beforehand discovery and accurate diagnosis are pivotal for perfecting prognosis, yet numerous conventional biomarkers are required to detect it at an Early stage. Glycoproteomics the large- scale study of glycosylated proteins — has surfaced as a promising frontier in cancer biomarker discovery due to the central part of protein glycosylation in excrescence biology. Aberrant glycosylation is a honored hallmark of cancer, impacting excrescence progression, metastasis, vulnerable elusion, and remedy resistance. Glycoproteomics allows for the identification and characterization of cancer-specific glycoforms that are n't sensible through traditional proteomic or genomic analyses. Mass spectrometry- grounded ways combined with glycan enrichment strategies now enable point-specific glycoprotein profiling with high perceptivity and resolution. Notable exemplifications include altered glycoforms of PSA, CA125, and AFP- L3, which have shown bettered individual particularity across prostate, ovarian, and liver cancers. Likewise, glycoproteomics supports the development of non-invasivel tools through liquid vivisection, allowing for real- time compliance via blood- grounded biomarkers. Despite specialized challenges similar as glycan diversity and logical complexity, advances in bioinformatics, standardization, and high- outcomes are driving its clinical connection. This review explores the natural significance of glycosylation in cancer, recent technological improvements, and the translational eventuality of glycoproteomics in perfection oncology. By improving dynamic, cancer-specific glycosylation patterns, glycoproteomics provides an important platform for the development of more accurate, functionally -applicable, and substantiated cancer biomarkers.