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基于分离的前列腺特异性抗原 N-糖基化分析方法。

Separation based characterization methods for the N-glycosylation analysis of prostate-specific antigen.

机构信息

Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, Faculty of Engineering, University of Pannonia, Veszprem, Hungary.

Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, Faculty of Engineering, University of Pannonia, Veszprem, Hungary; Horváth Csaba Memorial Laboratory of Bioseparation Sciences, Research Centre for Molecular Medicine, Doctoral School of Molecular Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

出版信息

J Pharm Biomed Anal. 2021 Feb 5;194:113797. doi: 10.1016/j.jpba.2020.113797. Epub 2020 Nov 25.

Abstract

Prostate cancer has the highest malignancy rate diagnosed in men worldwide. Albeit, the gold standard serum prostate-specific antigen (PSA) assays reduced the mortality rate of the disease, the number of false positive diagnoses steeply increased. Therefore, there is an urgent need for complementary biomarkers to enhance the specificity and selectivity of current diagnostic methods. Information about PSA glycosylation can help to fulfill this gap as alterations of its carbohydrate moieties due to cancerous transformation may represent additional markers to distinguish malignant from benign tumors. However, development of suitable methods and instrumentations to investigate the N-glycosylation profile of PSA represents a challenge. In this paper, we critically review the current bioanalytical trends and strategies in the field of PSA glycobiomarker research focusing on separation based characterization methods.

摘要

前列腺癌是全球男性诊断出的恶性率最高的癌症。虽然金标准血清前列腺特异性抗原(PSA)检测降低了该疾病的死亡率,但假阳性诊断的数量急剧增加。因此,迫切需要补充生物标志物来提高当前诊断方法的特异性和选择性。关于 PSA 糖基化的信息可以帮助填补这一空白,因为由于癌变导致的其碳水化合物部分的改变可能代表额外的标志物,可用于区分恶性和良性肿瘤。然而,开发合适的方法和仪器来研究 PSA 的 N-糖基化谱仍然是一个挑战。在本文中,我们批判性地回顾了 PSA 糖生物标志物研究领域中当前的生物分析趋势和策略,重点是基于分离的表征方法。

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