A Systems Biology-Based Gene Expression Classifier of Glioblastoma Predicts Survival with Solid Tumors
文献类型：期刊论文
| 作者 | Zhang, Jing ; Liu, Bing; Jiang, Xingpeng; Zhao, Huizhi; Fan, Ming; Fan, Zhenjie; Lee, J. Jack; Jiang, Tao; Jiang, Tianzi; Song, Sonya Wei
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| 刊名 | PLOS ONE
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| 出版日期 | 2009-07-17 |
| 卷号 | 4期号:7 |
| 英文摘要 | Accurate prediction of survival of cancer patients is still a key open problem in clinical research. Recently, many large-scale gene expression clusterings have identified sets of genes reportedly predictive of prognosis; however, those gene sets shared few genes in common and were poorly validated using independent data. We have developed a systems biology-based approach by using either combined gene sets and the protein interaction network (Method A) or the protein network alone (Method B) to identify common prognostic genes based on microarray gene expression data of glioblastoma multiforme and compared with differential gene expression clustering (Method C). Validations of prediction performance show that the 23-prognostic gene classifier identified by Method A outperforms other gene classifiers identified by Methods B and C or previously reported for gliomas on 17 of 20 independent sample cohorts across five tumor types. We also find that among the 23 genes are 21 related to cellular proliferation and two related to response to stress/immune response. We further find that the increased expression of the 21 genes and the decreased expression of the other two genes are associated with poorer survival, which is supportive with the notion that cellular proliferation and immune response contribute to a significant portion of predictive power of prognostic classifiers. Our results demonstrate that the systems biology-based approach enables to identify common survival-associated genes. |
| WOS标题词 | Science & Technology |
| 类目[WOS] | Multidisciplinary Sciences |
| 研究领域[WOS] | Science & Technology - Other Topics |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000268119500009 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3095]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 推荐引用方式 GB/T 7714 | Zhang, Jing,Liu, Bing,Jiang, Xingpeng,et al. A Systems Biology-Based Gene Expression Classifier of Glioblastoma Predicts Survival with Solid Tumors[J]. PLOS ONE,2009,4(7). |
| APA | Zhang, Jing.,Liu, Bing.,Jiang, Xingpeng.,Zhao, Huizhi.,Fan, Ming.,...&Song, Sonya Wei.(2009).A Systems Biology-Based Gene Expression Classifier of Glioblastoma Predicts Survival with Solid Tumors.PLOS ONE,4(7). |
| MLA | Zhang, Jing,et al."A Systems Biology-Based Gene Expression Classifier of Glioblastoma Predicts Survival with Solid Tumors".PLOS ONE 4.7(2009). |
入库方式： OAI收割
来源：自动化研究所
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