Pathway and network analysis of cancer genomes.
Pathway and network analysis of cancer genomes.
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DOI：
10.1038/nmeth.3440
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发表时间：
2015-07
期刊：
影响因子：
48
通讯作者：
Mutation Consequences and Pathway Analysis Working Group of the International Cancer Genome Consortium
中科院分区：
文献类型：
--
作者：
Creixell P;Reimand J;Haider S;Wu G;Shibata T;Vazquez M;Mustonen V;Gonzalez-Perez A;Pearson J;Sander C;Raphael BJ;Marks DS;Ouellette BFF;Valencia A;Bader GD;Boutros PC;Stuart JM;Linding R;Lopez-Bigas N;Stein LD;Mutation Consequences and Pathway Analysis Working Group of the International Cancer Genome Consortium
国际癌症基因组联盟 (ICGC) 编录的 50 种癌症类型的肿瘤基因组信息表明，只有少数经过充分研究的驱动基因经常发生突变，相比之下，许多不频繁突变的基因也可能对肿瘤生物学有贡献。因此，人们对开发对基因进行分组并阐明所涉及过程的途径和网络分析方法产生了浓厚的兴趣。我们概述了这些分析技术，并展示了它们在何处指导机械和转化研究。
Genomic information on tumors from 50 cancer types catalogued by The International Cancer Genome Consortium (ICGC) shows that only few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.