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Comparative analysis of the human serum N-glycome in lung cancer, COPD and their comorbidity using capillary electrophoresis

Authors :
Miklós Szabó
Zsuzsanna Kovács
Marton Szigeti
Anna Farkas
Renáta Kun
Eszter Csánky
Brigitta Mészáros
Gabor Jarvas
András Guttman
Source :
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences. 1137
Publication Year :
2019

Abstract

Lung cancer (LC) and chronic obstructive pulmonary disease (COPD) are prevalent ailments with a great challenge to distinguish them based on symptoms only. Since they require different treatments, it is important to find non-invasive methods capable to readily diagnose them. Moreover, COPD increases the risk of lung cancer development, leading to their comorbidity. In this pilot study the N-glycosylation profile of pooled human serum samples (90 patients each) from lung cancer, COPD and comorbidity (LC with COPD) patients were investigated in comparison to healthy individuals (control) by capillary gel electrophoresis with high sensitivity laser-induced fluorescence detection. Sample preparation was optimized for human serum samples introducing a new temperature adjusted denaturation protocol to prevent precipitation and increased endoglycosidase digestion time to assure complete removal of the N-linked carbohydrates. The reproducibility of the optimized method was3.5%. Sixty-one N-glycan structures were identified in the pooled control human serum sample and the profile was compared to pooled lung cancer, COPD and comorbidity of COPD with lung cancer patient samples. One important finding was that no other sugar structures were detected in any of the patient groups, only quantitative differences were observed. Based on this comparative exercise, a panel of 13 N-glycan structures were identified as potential glycobiomarkers to reveal significant changes (33% in relative peak areas) between the pathological and control samples. In addition to N-glycan profile changes, alterations in the individual N-glycan subclasses, such as total fucosylation, degree of sialylation and branching may also hold important glycobiomarker values.

Details

ISSN :
1873376X
Volume :
1137
Database :
OpenAIRE
Journal :
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Accession number :
edsair.doi.dedup.....b140de35d5fa319b7873ec287a77425d