Adamczyk Barbara, Tharmalingam Tharmala, Rudd Pauline M
Dublin-Oxford Glycobiology Laboratory, NIBRT-The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland.
Biochim Biophys Acta. 2012 Sep;1820(9):1347-53. doi: 10.1016/j.bbagen.2011.12.001. Epub 2011 Dec 9.
Non-invasive biomarkers, such as those from serum, are ideal for disease prognosis, staging and monitoring. In the past decade, our understanding of the importance of glycosylation changes with disease has evolved.
We describe potential biomarkers derived from serum glycoproteins for liver, pancreatic, prostate, ovarian, breast, lung and stomach cancers. Methods for glycan analysis have progressed and newly developed high-throughput platform technologies have enabled the analysis of large cohorts of samples in an efficient manner. We also describe this evolution and trends to follow in the future.
Many convincing examples of aberrant glycans associated with cancer have come about from glycosylation analyses. Most studies have been carried out to identify changes in serum glycan profiles or through the isolation and identification of glycoproteins that contain these irregular glycan structures. In a majority of cancers the fucosylation and sialylation expression are found to be significantly modified. Therefore, these aberrations in glycan structures can be utilized as targets to improve existing cancer biomarkers.
The ability to distinguish differences in the glycosylation of proteins between cancer and control patients emphasizes glycobiology as a promising field for potential biomarker identification. Furthermore, the high-throughput and reproducible nature of the chromatography platform have highlighted extensive applications in biomarker discovery and allowed integration of glycomics with other -omics fields, such as proteomics and genomics, making systems glycobiology a reality. This article is part of a Special Issue entitled Glycoproteomics.
非侵入性生物标志物,如血清中的生物标志物,是疾病预后、分期和监测的理想选择。在过去十年中,我们对糖基化变化在疾病中的重要性的理解不断发展。
我们描述了源自血清糖蛋白的用于肝癌、胰腺癌、前列腺癌、卵巢癌、乳腺癌、肺癌和胃癌的潜在生物标志物。聚糖分析方法不断进步,新开发的高通量平台技术能够高效分析大量样本队列。我们还描述了这种演变以及未来的发展趋势。
糖基化分析产生了许多与癌症相关的异常聚糖的令人信服的例子。大多数研究旨在识别血清聚糖谱的变化,或通过分离和鉴定含有这些不规则聚糖结构的糖蛋白来进行。在大多数癌症中,岩藻糖基化和唾液酸基化表达被发现有显著改变。因此,这些聚糖结构的异常可作为靶点来改进现有的癌症生物标志物。
区分癌症患者和对照患者蛋白质糖基化差异的能力强调了糖生物学作为潜在生物标志物识别的一个有前景的领域。此外,色谱平台的高通量和可重复性突出了其在生物标志物发现中的广泛应用,并允许糖组学与其他“组学”领域(如蛋白质组学和基因组学)整合,使系统糖生物学成为现实。本文是名为“糖蛋白质组学”的特刊的一部分。