For robust big data analyses: a collection of 150 important pro-metastatic genes.
For robust big data analyses: a collection of 150 important pro-metastatic genes.
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用于强大的大数据分析：150 个重要的促转移基因的集合
DOI：
10.1186/s40880-016-0178-z
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发表时间：
2017-01-21
影响因子：
--
通讯作者：
Qian CN
中科院分区：
文献类型：
--
作者：
Mei Y;Yang JP;Qian CN
转移是导致癌症相关死亡的最大原因。在精准医疗时代，预测和防止癌细胞扩散是提高患者生存率的关键。由于各种高通量技术的应用，积累的大数据使研究人员和临床医生能够识别侵袭性肿瘤以及癌症转移高风险患者。然而，很少有大规模的基因收集研究能够进行转移相关的分析。在过去的几年里，新兴的努力已经确定了各种癌症中的促转移基因，为我们提供了生成用于大数据分析的促转移基因簇的能力。我们仔细选择了285个在体内有文献报道的促进转移证据的基因。这些基因已经在不同的肿瘤类型中进行了研究。我们使用了从癌症基因组图谱数据库下载的两个数据集，特别是透明细胞肾细胞癌和肝细胞癌的数据集，进行验证测试，并排除了任何数据集中表达水平升高与较长总生存期相关的任何基因。最终，我们的分析中保留了150个促转移基因。我们相信这些促转移基因的收集将有助于大数据分析，并最终加速抗转移研究和临床干预。
Metastasis is the greatest contributor to cancer-related death. In the era of precision medicine, it is essential to predict and to prevent the spread of cancer cells to significantly improve patient survival. Thanks to the application of a variety of high-throughput technologies, accumulating big data enables researchers and clinicians to identify aggressive tumors as well as patients with a high risk of cancer metastasis. However, there have been few large-scale gene collection studies to enable metastasis-related analyses. In the last several years, emerging efforts have identified pro-metastatic genes in a variety of cancers, providing us the ability to generate a pro-metastatic gene cluster for big data analyses. We carefully selected 285 genes with in vivo evidence of promoting metastasis reported in the literature. These genes have been investigated in different tumor types. We used two datasets downloaded from The Cancer Genome Atlas database, specifically, datasets of clear cell renal cell carcinoma and hepatocellular carcinoma, for validation tests, and excluded any genes for which elevated expression level correlated with longer overall survival in any of the datasets. Ultimately, 150 pro-metastatic genes remained in our analyses. We believe this collection of pro-metastatic genes will be helpful for big data analyses, and eventually will accelerate anti-metastasis research and clinical intervention.