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糖组学方法在癌症及其他疾病检测中的临床应用。

Clinical applications of glycomic approaches for the detection of cancer and other diseases.

作者信息

Miyamoto Suzanne

机构信息

UC Davis Cancer Center, Division of Hematology/Oncology, 4501 X Street, Room 3016, Sacramento, CA 95817, USA.

出版信息

Curr Opin Mol Ther. 2006 Dec;8(6):507-13.

Abstract

New glycomic approaches are being developed for clinical applications. Technologies that include microcapillary chromatography, lectin affinity chromatography, carbohydrate microarray and mass spectrometry (MS) enable better glycan analysis and are contributing to drug discovery, clinical assays and basic research efforts. More importantly, new glycomic approaches are contributing to our increased understanding of the underlying biology that is responsible for the development, progression and metastasis of cancer. In fact, disruption of part of the glycosylation process in mice has resulted in higher tumor formation in these animals. MS and lectin affinity methods are rapidly replacing traditional biochemical separation and enzymatic procedures for the analysis of oligosaccharides. These technologies are leading to faster and more clinically adaptable tests with greater sensitivity and specificity than currently used tests. Glycomics is also expected to be important in developing better analytical methods for the detection of cancer. It shows promise for personalized medicine since the heterogeneity and complexity of glycosylation reflect the genetic, environmental, lifestyle and nutritional states of each patient, as well as their ethnicity and age. A major challenge facing glycomics and any systems biology approach, will be the ability to accurately profile the glycosylation state of a patient and, based on this profile, to identify if a disease is present, the type of disease and determine the appropriate treatment for the individual patient. Therefore a comprehensive approach to personalized clinical medicine may include a glycomic analysis of clinical samples and could be used in addition to genetic, gene expression and proteomic analyses already being evaluated for clinical use.

摘要

新的糖组学方法正在被开发用于临床应用。包括微毛细管色谱法、凝集素亲和色谱法、糖微阵列和质谱法(MS)在内的技术能够实现更好的聚糖分析,并有助于药物发现、临床检测和基础研究工作。更重要的是,新的糖组学方法有助于我们加深对癌症发生、发展和转移背后生物学机制的理解。事实上,在小鼠中部分糖基化过程的破坏导致这些动物中肿瘤形成增加。质谱法和凝集素亲和方法正在迅速取代用于分析寡糖的传统生化分离和酶促程序。这些技术正在带来比目前使用的检测方法更快、临床适应性更强、灵敏度和特异性更高的检测。糖组学在开发更好的癌症检测分析方法方面也有望发挥重要作用。由于糖基化的异质性和复杂性反映了每个患者的遗传、环境、生活方式和营养状况以及他们的种族和年龄,因此它在个性化医疗方面显示出前景。糖组学以及任何系统生物学方法面临的一个主要挑战将是能够准确描绘患者的糖基化状态,并基于此图谱识别是否存在疾病、疾病类型以及确定针对个体患者的适当治疗方法。因此,个性化临床医学的综合方法可能包括对临床样本进行糖组学分析,并且除了已经在评估用于临床的基因、基因表达和蛋白质组学分析之外还可以使用。

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