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Updated: May 29, 2026

Glycan Node Analysis: A Bottom-up Approach to Glycomics
Published on: May 22, 2016
Aberrant glycosylation associated with enzymes as cancer biomarkers
1Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA. dmeany1@jhmi.edu.
Background:
One of the new roles for enzymes in personalized medicine builds on a rational approach to cancer biomarker discovery using enzyme-associated aberrant glycosylation. A hallmark of cancer, aberrant glycosylation is associated with differential expressions of enzymes such as glycosyltransferase and glycosidases. The aberrant expressions of the enzymes in turn cause cancer cells to produce glycoproteins with specific cancer-associated aberrations in glycan structures.
Content:
In this review we provide examples of cancer biomarker discovery using aberrant glycosylation in three areas. First, changes in glycosylation machinery such as glycosyltransferases/glycosidases could be used as cancer biomarkers. Second, most of the clinically useful cancer biomarkers are glycoproteins. Discovery of specific cancer-associated aberrations in glycan structures of these existing biomarkers could improve their cancer specificity, such as the discovery of AFP-L3, fucosylated glycoforms of AFP. Third, cancer-associated aberrations in glycan structures provide a compelling rationale for discovering new biomarkers using glycomic and glycoproteomic technologies.
Summary:
As a hallmark of cancer, aberrant glycosylation allows for the rational design of biomarker discovery efforts. But more important, we need to translate these biomarkers from discovery to clinical diagnostics using good strategies, such as the lessons learned from translating the biomarkers discovered using proteomic technologies to OVA 1, the first FDA-cleared In Vitro Diagnostic Multivariate Index Assay (IVDMIA). These lessons, providing important guidance in current efforts in biomarker discovery and translation, are applicable to the discovery of aberrant glycosylation associated with enzymes as cancer biomarkers as well.
Insights
Aberrant glycosylation, a cancer hallmark, aids in discovering new cancer biomarkers. Translating these enzyme-associated biomarkers into clinical diagnostics requires strategic approaches for improved cancer detection.
Area of Science:
- Biochemistry
- Oncology
- Biomarker Discovery
Background:
- Aberrant glycosylation is a hallmark of cancer, linked to altered enzyme expression (e.g., glycosyltransferases, glycosidases).
- These enzymatic changes lead to cancer cells producing glycoproteins with unique, cancer-associated glycan structures.
Purpose of the Study:
- To review examples of cancer biomarker discovery utilizing aberrant glycosylation.
- To highlight the potential of enzyme changes and glycan structure analysis in existing biomarkers for improved cancer specificity.
- To emphasize the role of glycomics and proteomics in identifying novel cancer biomarkers.
Main Methods:
- Review of literature on enzyme-associated aberrant glycosylation in cancer.
- Analysis of specific examples of biomarker discovery, including AFP-L3.
- Discussion of glycomic and glycoproteomic approaches for biomarker identification.
Main Results:
- Enzyme machinery alterations (glycosyltransferases/glycosidases) can serve as cancer biomarkers.
- Refining existing glycoprotein biomarkers with specific glycan analysis enhances cancer specificity.
- Aberrant glycan structures provide a basis for novel biomarker discovery.
Conclusions:
- Aberrant glycosylation offers a rational basis for cancer biomarker discovery.
- Successful translation of these biomarkers into clinical diagnostics necessitates strategic approaches, learning from proteomic technology translations.
- Lessons from translating proteomic biomarkers are applicable to enzyme-associated aberrant glycosylation biomarkers.
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