A systems biology approach to defining metastatic biomarkers and signaling pathways.
A systems biology approach to defining metastatic biomarkers and signaling pathways.
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定义转移生物标志物和信号通路的系统生物学方法。
DOI：
10.1002/wsbm.6
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Hunter,KentW
中科院分区：
文献类型：
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作者：
Goldberger,NatalieE;Hunter,KentW
转移是癌症的最后阶段，也是大多数实体恶性肿瘤死亡的主要原因。已使用多种高通量技术(即基因表达阵列、阵列比较基因组杂交(ACGH)和蛋白质组学)来研究癌症进展的这一终末阶段，以确定预后表达谱并更好地描述转移过程。几十年来，转移过程的主要模型一直是‘进展模型’，然而最近的微阵列结果倾向于支持原发肿瘤内在的转移能力。此外，使用高转移性转基因乳腺肿瘤模型的研究表明，胚系多态是转移效率的重要决定因素。同样，在患有癌症的家庭成员之间观察到了很强的生存一致性，进一步支持了遗传和生存之间的联系。此外，通过阵列比较基因组杂交(ACGH)和蛋白质组学研究分别鉴定了与转移能力相关的染色体异常和信号通路。最后，对于某些癌症，基于活性的蛋白质组学(ABPP)的癌酶活性图谱可能比基于表达的蛋白质组学在临床上更有用。最重要的是，这些高通量技术的应用应该加快寻找更多的生物标记物、生殖系多态和具有更大预后价值的表达特征。版权所有(C)2009 John Wiley&Sons，Inc.本文分类为：发育生物学>；健康和疾病中的发育过程
Metastasis is the final stage of cancer and the primary cause of mortality for most solid malignancies. This terminal phase of cancer progression has been investigated using a variety of high‐throughput technologies (i.e., gene expression arrays, array comparative genomic hybridization (aCGH), and proteomics) to identify prognostic expression profiles and better characterize the metastatic process. For decades, the predominant model for the metastatic process has been the ‘progression model’, yet recent microarray results tend to support an inherent metastatic capability within primary tumors. Moreover, studies using a highly metastatic transgenic mammary tumor model suggest that germline polymorphisms are significant determinants of metastatic efficiency. Likewise, a strong concordance of survival has been observed between family members with cancer, further supporting the link between genetic inheritance and survival. In addition, chromosomal aberrations and signaling pathways related to metastatic capacity have been identified by array comparative genomic hybridization (aCGH) and proteomic studies, respectively. Lastly, carcinoma enzyme activity profiles using activity‐based proteomics (ABPP), may be more clinically useful than expression‐based proteomics for certain cancers. Most importantly, the application of these high‐throughput techniques should expedite the search for additional biomarkers, germline polymorphisms, and expression signatures with greater prognostic value. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Developmental Biology > Developmental Processes in Health and Disease