Jeong Seunghyup, Kim Unyong, Oh Myungjin, Nam Jihyeon, Park Sehoon, Choi Yoonjin, Lee Dongho, Kim Jaehan, An Hyunjoo
Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea.
Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea.
J Pers Med. 2021 Jun 18;11(6):575. doi: 10.3390/jpm11060575.
Gastric cancer is a frequently occurring cancer and is the leading cause of cancer-related deaths. Recent studies have shown that aberrant glycosylation of serum haptoglobin is closely related to gastric cancer and has enormous potential for use in diagnosis. However, there is no platform with high reliability and high reproducibility to comprehensively analyze haptoglobin glycosylation covering microheterogeneity to macroheterogeneity for clinical applications. In this study, we developed a middle-up-down glycoproteome platform for fast and accurate monitoring of haptoglobin glycosylation. This platform utilizes an online purification of LC for sample desalting, and an in silico haptoglobin glycopeptide library constructed by combining peptides and N-glycans to readily identify glycopeptides. In addition, site-specific glycosylation with glycan heterogeneity can be obtained through only a single MS analysis. Haptoglobin glycosylation in clinical samples consisting of healthy controls ( = 47) and gastric cancer patients ( = 43) was extensively investigated using three groups of tryptic glycopeptides: GP1 (including Asn184), GP2 (including Asn207 and Asn211), and GP3 (including Asn241). A total of 23 individual glycopeptides were determined as potential biomarkers ( < 0.00001). In addition, to improve diagnostic efficacy, we derived representative group biomarkers with high AUC values (0.929 to 0.977) through logistic regression analysis for each GP group. It has been found that glycosylation of haptoglobin is highly associated with gastric cancer, especially the glycosite Asn241. Our assay not only allows to quickly and easily obtain information on glycosylation heterogeneity of a target glycoprotein but also makes it an efficient tool for biomarker discovery and clinical diagnosis.
胃癌是一种常见癌症,也是癌症相关死亡的主要原因。最近的研究表明,血清触珠蛋白的异常糖基化与胃癌密切相关,在诊断方面具有巨大的应用潜力。然而,目前尚无一个具有高可靠性和高重现性的平台,能够全面分析涵盖微异质性到宏异质性的触珠蛋白糖基化情况以用于临床应用。在本研究中,我们开发了一种从中间到上下的糖蛋白质组学平台,用于快速准确地监测触珠蛋白糖基化。该平台利用在线液相色谱纯化进行样品脱盐,并通过将肽段和N -聚糖相结合构建了一个计算机模拟的触珠蛋白糖肽库,以便轻松识别糖肽。此外,仅通过一次质谱分析就能获得具有聚糖异质性的位点特异性糖基化信息。我们使用三组胰蛋白酶糖肽:GP1(包括Asn184)、GP2(包括Asn207和Asn211)和GP3(包括Asn241),对由健康对照者(n = 47)和胃癌患者(n = 43)组成的临床样本中的触珠蛋白糖基化进行了广泛研究。总共确定了23种个体糖肽作为潜在生物标志物(p < 0.00001)。此外,为了提高诊断效能,我们通过对每个GP组进行逻辑回归分析,得出了具有高AUC值(0.929至0.977)的代表性组生物标志物。研究发现,触珠蛋白的糖基化与胃癌高度相关,尤其是糖基化位点Asn241。我们的检测方法不仅能够快速轻松地获取目标糖蛋白糖基化异质性的信息,还使其成为生物标志物发现和临床诊断的有效工具。