University of California San Francisco, San Francisco, CA, USA.
Clin Chem. 2010 Feb;56(2):223-36. doi: 10.1373/clinchem.2009.136333. Epub 2009 Dec 3.
Cancer has profound effects on gene expression, including a cell's glycosylation machinery. Thus, tumors produce glycoproteins that carry oligosaccharides with structures that are markedly different from the same protein produced by a normal cell. A single protein can have many glycosylation sites that greatly amplify the signals they generate compared with their protein backbones.
In this article, we survey clinical tests that target carbohydrate modifications for diagnosing and treating cancer. We present the biological relevance of glycosylation to disease progression by highlighting the role these structures play in adhesion, signaling, and metastasis and then address current methodological approaches to biomarker discovery that capitalize on selectively capturing tumor-associated glycoforms to enrich and identify disease-related candidate analytes. Finally, we discuss emerging technologies--multiple reaction monitoring and lectin-antibody arrays--as potential tools for biomarker validation studies in pursuit of clinically useful tests.
The future of carbohydrate-based biomarker studies has arrived. At all stages, from discovery through verification and deployment into clinics, glycosylation should be considered a primary readout or a way of increasing the sensitivity and specificity of protein-based analyses.
癌症对基因表达有深远的影响,包括细胞的糖基化机制。因此,肿瘤产生的糖蛋白携带的寡糖结构与正常细胞产生的相同蛋白质明显不同。单个蛋白质可以有许多糖基化位点,与它们的蛋白质骨干相比,这些糖基化位点大大放大了它们产生的信号。
在本文中,我们调查了针对碳水化合物修饰的临床检测,以诊断和治疗癌症。我们通过强调这些结构在黏附、信号传递和转移中的作用,展示了糖基化与疾病进展的生物学相关性,然后讨论了当前利用选择性捕获肿瘤相关糖型来丰富和鉴定与疾病相关候选分析物的生物标志物发现的方法学方法。最后,我们讨论了新兴技术——多重反应监测和凝集素-抗体阵列——作为生物标志物验证研究的潜在工具,以寻求临床有用的检测。
基于碳水化合物的生物标志物研究的未来已经到来。在从发现到验证和部署到临床的所有阶段,糖基化都应被视为主要检测指标或提高蛋白质分析的灵敏度和特异性的方法。