网络分析在精准肿瘤医学中的新兴应用潜力
The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.
机构信息
Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA.
Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA.
出版信息
J Mol Biol. 2018 Sep 14;430(18 Pt A):2875-2899. doi: 10.1016/j.jmb.2018.06.016. Epub 2018 Jun 15.
Abstract
Precision cancer medicine promises to tailor clinical decisions to patients using genomic information. Indeed, successes of drugs targeting genetic alterations in tumors, such as imatinib that targets BCR-ABL in chronic myelogenous leukemia, have demonstrated the power of this approach. However, biological systems are complex, and patients may differ not only by the specific genetic alterations in their tumor, but also by more subtle interactions among such alterations. Systems biology and more specifically, network analysis, provides a framework for advancing precision medicine beyond clinical actionability of individual mutations. Here we discuss applications of network analysis to study tumor biology, early methods for N-of-1 tumor genome analysis, and the path for such tools to the clinic.
摘要
精准癌症医学有望利用基因组信息为患者量身定制临床决策。事实上，针对肿瘤中遗传改变的药物（如针对慢性髓性白血病中的 BCR-ABL 的伊马替尼）已经取得了成功，这证明了这种方法的强大。然而，生物系统非常复杂，患者不仅可能因肿瘤中特定的遗传改变而不同，而且还可能因这些改变之间更微妙的相互作用而不同。系统生物学，更具体地说，网络分析，为超越个体突变的临床可操作性推进精准医学提供了一个框架。在这里，我们讨论了网络分析在肿瘤生物学研究、用于 N-of-1 肿瘤基因组分析的早期方法以及这些工具进入临床的途径中的应用。
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