Survival trees for analyzing clinical outcome in lung adenocarcinomas based on gene expression profiles:: Identification of neogenin and diacylglycerol kinase α expression as critical factors
Survival trees for analyzing clinical outcome in lung adenocarcinomas based on gene expression profiles:: Identification of neogenin and diacylglycerol kinase α expression as critical factors
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DOI：
10.1089/cmb.2005.12.534
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发表时间：
2005-06-01
影响因子：
1.7
通讯作者：
Dubitzky, W
中科院分区：
文献类型：
--
作者：
Berrar, D;Sturgeon, B;Dubitzky, W
我们将生存树作为一种探索性工具，结合临床患者数据揭示基因表达谱的新见解。生存树将研究的患者数据划分为具有相似生存结果的组，并确定这些组中的特征遗传谱。我们展示了生存树在一项涉及211例肺腺癌患者3,588个基因表达谱的研究中的应用。生存树确定了一组早期癌症患者的生存率相对较低，另一组晚期患者的生存结果非常好。对于这两组，该树确定了可能在癌症发生和疾病进展中起作用的基因的特征表达谱，特别是netrin受体再生蛋白和Ras/Rho激酶调节剂二酰甘油激酶α的基因。
We present survival trees as an exploratory tool for revealing new insights into gene expression profiles in combination with clinical patient data. Survival trees partition the patient data studied into groups with similar survival outcomes and identify characteristic genetic profiles within these groups. We demonstrate the application of survival trees in a study involving the expression profiles of 3,588 genes in 211 lung adenocarcinoma patients. The survival tree identified a group of early-stage cancer patients with relatively low survival rates and another group of advanced-stage patients with remarkably good survival outcome. For both groups, the tree identified characteristic expression profiles of genes that might play a role in cancerogenesis and disease progression, notably the genes for the netrin receptor neogenin and the Ras/Rho kinase modulator diacylglycerol kinase alpha.