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 was <3.5%. 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.

Highlights

  • Lung cancer (LC) is one of the predominantly diagnosed cancers (11.6% of the total cases) and was the main cause of cancer deaths (18.4% of the total cancer deaths) in 2018 in both genders combined [1]

  • In this paper we report on a pilot study of the N-glycosylation profiles of pooled human serum samples from patients with chronic obstructive pulmonary disease (COPD), lung cancer and their comorbidities (COPD with LC) compared to control healthy subjects using capillary electrophoresis with laserinduced fluorescent detection (CE-LIF)

  • The N-glycosylation profiles of patient samples of chronic inflammatory (COPD) and malignant (LC) pulmonary diseases as well as their comorbidity (COPD with LC) were quantitatively studied and compared to healthy controls to get a better insight what glycan structures/ratios can be expected in each pool

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Summary

Introduction

Lung cancer (LC) is one of the predominantly diagnosed cancers (11.6% of the total cases) and was the main cause of cancer deaths (18.4% of the total cancer deaths) in 2018 in both genders combined [1] Another prevalent lung disease is Chronic Obstructive Pulmonary Disease (COPD), mostly caused by cigarette smoking, representing a great but certainly preventable risk factor [2]. While biopsy can differentiate malignant (LC) and benign (inflammation) lesions that imaging techniques are not capable in a reliable diagnostic manner, it is an invasive process with a number of risk factors including infections, pneumonia, pneumothorax, bleeding and haemoptysis, just to list the most frequent ones [5]. There is an urgent need to develop non-invasive molecular diagnostic tools capable of predicting the presence and prognosis of the actual disease (LC, COPD or comorbidity) with adequate specificity and sensitivity

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