透明细胞肾细胞癌个人基因组中驱动基因的综合分析
Comprehensive Analysis of Driver Genes in Personal Genomes of Clear Cell Renal Cell Carcinoma.
作者信息
Li Jin, Guo Liping, Chai Li, Ai Zisheng
机构信息
1 Department of Geriatrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
2 Department of Nephrology, The Shanghai Ninth People's Hospital, Shanghai, China.
出版信息
Technol Cancer Res Treat. 2019 Jan 1;18:1533033819830966. doi: 10.1177/1533033819830966.
AIM
To characterize personal driver genes in clear cell renal cell carcinoma independent of somatic mutation frequencies.
METHODS
Personal cancer driver genes were predicted by Integrated CAncer GEnome Score in 417 patients with clear cell renal cell carcinoma using 26 786 somatic mutations from The Cancer Genome Atlas, followed by an integrated investigation on personal driver genes.
RESULTS
A total of 233 personal driver genes were determined by Integrated CAncer GEnome Score. The coexpression network analysis found 5 coexpressed modules. The blue module was significantly negatively correlated with all 5 clinical features, including cancer stage, lymph node metastasis, distant metastasis, age, and survival status (death). CTNNB1, TGFBR2, KDR, FLT1, and INSR were the hub genes in the blue module. The expression of 79 personal driver genes was significantly associated with clinical outcomes of patients with clear cell renal cell carcinoma.
CONCLUSIONS
The set of personal driver genes sheds insights into the tumorigenesis of clear cell renal cell carcinoma and paves the way for developing personalized medicine for clear cell renal cell carcinoma.
目的
在不依赖体细胞突变频率的情况下，鉴定透明细胞肾细胞癌中的个体驱动基因。
方法
利用来自癌症基因组图谱的26786个体细胞突变，通过综合癌症基因组评分对417例透明细胞肾细胞癌患者的个体癌症驱动基因进行预测，随后对个体驱动基因进行综合研究。
结果
通过综合癌症基因组评分共确定了233个个体驱动基因。共表达网络分析发现了5个共表达模块。蓝色模块与所有5种临床特征显著负相关，包括癌症分期、淋巴结转移、远处转移、年龄和生存状态（死亡）。CTNNB1、TGFBR2、KDR、FLT1和INSR是蓝色模块中的枢纽基因。79个个体驱动基因的表达与透明细胞肾细胞癌患者的临床结局显著相关。
结论
个体驱动基因集为透明细胞肾细胞癌的肿瘤发生提供了见解，并为开发透明细胞肾细胞癌的个性化药物铺平了道路。
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