《Table 1 Univariate Cox regression analysis of seventeen signature genes in CGGA set》
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《基于预后相关基因构建的分析模型可识别高风险胶质母细胞瘤（英文）》
A total of 250 DEGs were found between shortterm and long-term GBM samples in GSE53733.Finally211 survival related genes were selected after excluding 39genes which were lacking in CGGA and TCGA.Univariate Cox regression analysis was performed to detect 211survival related genes for predicting survival in CGGA and TCGA.The seventeen genes with P<0.05 common in two sets were adopted to establish survival-gene signature.A risk score formula was developed in training set with linear combination of the gene expression level（expr）weighted by the regression coefficient derived from univariate Cox regression analysis（Table 1）.The risk score of GBM samples were calculated as follows:
| 图表编号 | XD0026936900 严禁用于非法目的 |
|---|---|
| 绘制时间 | 2018.04.01 |
| 作者 | 陈弟、陈迪康、曹冬青、胡建、姚瑜 |
| 绘制单位 | 复旦大学附属华山医院神经外科、复旦大学附属华山医院神经外科、复旦大学附属华山医院神经外科免疫室、德克萨斯大学安德森癌症中心癌症生物学系、复旦大学附属华山医院神经外科、复旦大学附属华山医院神经外科免疫室 |
| 更多格式 | 高清、无水印（增值服务） |
