Aberrant protein glycosylation: Implications on diagnosis and Immunotherapy

Area of Science:

• Biochemistry
• Molecular Biology
• Cancer Research

Background:

• Glycosylation, a critical post-translational modification, regulates fundamental cellular processes including cell division, differentiation, immune response, and cell-cell interactions.
• Aberrant N-linked and O-linked glycosylation patterns in regulatory proteins are linked to diseases such as cancer, contributing to tumor cell heterogeneity.
• Changes in the cellular glycome, driven by altered glycosidases/glycosyltransferases or gene mutations, impact protein glycosylation and cellular function, influencing inflammatory responses and disease progression.

Purpose of the Study:

• To review the regulatory roles of O- and N-linked glycosylation in autoimmunity and aberrant glycosylation in cancer.
• To discuss the impact of glycome alterations on cancer biology, diagnosis, prognosis, and immunotherapy.
• To highlight emerging technologies and their clinical applications in studying glycosylation.

Main Methods:

• Review of existing literature on glycosylation, autoimmunity, and cancer.
• Analysis of studies utilizing mass spectrometry, glycoproteomics, transcriptomics, and genomics.
• Discussion of emerging technologies like lectin microarrays for glycan and glycosylation research.

Main Results:

• Aberrant glycosylation is a hallmark of cancer, contributing to tumor heterogeneity and progression.
• Glycosylation patterns on immune cells can be altered by gene mutations, leading to pro- or anti-inflammatory effects.
• Understanding the glycome provides opportunities for cancer diagnosis, prognosis, and the development of immunotherapies.

Conclusions:

• Glycosylation plays a crucial role in both normal physiological processes and disease pathogenesis, particularly in cancer and autoimmunity.
• Emerging technologies are enhancing the ability to study complex glycosylation patterns and their functional implications.
• Targeting glycosylation represents a promising strategy for novel cancer diagnostics, prognostics, and therapeutics.