| Literature DB >> 29379771 |
Raphaela Menezes de Oliveira1, Carlos Andre Ornelas Ricart1, Aline Maria Araujo Martins1,2.
Abstract
Association between altered glycosylation patterns and poor prognosis in cancer points glycans as potential specific tumor markers. Most proteins are glycosylated and functionally arranged on cell surface and extracellular matrix, mediating interactions and cellular signaling. Thereby, aberrant glycans may be considered a pathological phenotype at least as important as changes in protein expression for cancer and other complex diseases. As most serum glycoproteins have hepatic origin, liver disease phenotypes, such as hepatocellular carcinoma (HCC), may present altered glycan profile and display important modifications. One of the prominent obstacles in HCC is the diagnostic in advanced stages when patients have several liver dysfunctions, limiting treatment options and life expectancy. The characterization of glycomic profiles in pathological conditions by means of mass spectrometry (MS) may lead to the discovery of early diagnostic markers using non-invasive approaches. MS is a powerful analytical technique capable of elucidating many glycobiological issues and overcome limitations of the serological markers currently applied in clinical practice. Therefore, MS-based glycomics of tumor biomarkers is a promising tool to increase early detection and monitoring of disease.Entities:
Keywords: biomarkers; cancer; glycans; glycomics; hepatocellular carcinoma; mass spectrometry
Year: 2018 PMID: 29379771 PMCID: PMC5775512 DOI: 10.3389/fonc.2017.00328
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Changes in glycosylation associated with hepatocellular carcinoma phenotype.
| Glycan modification | Proposed major function | Reference |
|---|---|---|
| Increased β-1,6-GlcNAc branching on | Decreased cell adhesion to fibronectin | ( |
| Increased sialylated GlcNAc branching on | Decreased cell–cell interaction, enhanced motility and invasiveness | ( |
| Increased fucosylation of core and outer-arm | Decreased cell polarity and altered adhesive properties | ( |
| Increased fucosylation and sialylation of β chain on haptoglobin | Altered adhesive properties | ( |
| Increased expression of sLe structures | Enhanced tumor cell adhesion during metastasis | ( |
| Increased expression of high-mannose structures | Enhanced proliferation, adhesion, and metastasis | ( |
| Increased fucosylated, sialylated, and complex | Increase activity of the epidermal growth factor receptor (EGF-R), decreased cell–cell interaction, enhanced motility and invasiveness | ( |
| Increased of bi-sialylated O-glycopeptide of hemopexin | Altered adhesive properties | ( |
| Increased expression of multiply fucosylated Ley in haptoglobin | Enhanced tumor cell adhesion during metastasis | ( |
| Increased of core-α-1,6-fucosylated triantennary glycan | Enhanced cell migration | ( |
| Increased of α-1,3-fucosylated branching on triantennary glycan | Decreased cell polarity and altered adhesive properties | ( |
Figure 1Schematic representation of the most important glycan alterations associated with hepatocellular carcinoma (HCC) phenotype.
Figure 2Schematic representation of the preparation process for glycomics analysis in mass spectrometry biomarkers research. Protocols for glycoprotein analysis depend on the amount of sample. Since biomarkers research often use tissue or serum/plasma samples, the strategy adopted does not require presence of SDS for protein denaturation but is only applicable if more than 50 mg of protein is available. If you are not interested studding O-glycosylation in the moment, you can storage the peptides/O-glycopeptides and proceed directly to permethylation of N-glycans.