论文标题
关于癌症的基因表达景观
On the gene expression landscape of cancer
论文作者
论文摘要
15个癌症定位的TCGA数据的主要成分分析揭示了以下有关肿瘤的定性事实：1）基因表达空间中组织状态可以通过一些变量来描述。特别是，有一个单个变量描述了从正常组织到肿瘤的进展。 2）每个癌症定位的特征在于基因表达谱，其中基因在癌症状态的定义中具有特定的权重。有不少于2500个差异表达的基因，这会导致表达分布函数中的功率样尾巴。 3）不同局部化的肿瘤具有数百甚至数千个差异表达的基因。有15种研究的肿瘤局限性共有6种基因。 4）肿瘤区域是一种吸引子。晚期阶段的肿瘤与患者年龄或遗传变异性无关。 5）在基因表达空间中有癌症的景观，近似边界将正常组织与肿瘤区分开。
A principal component analysis of the TCGA data for 15 cancer localizations unveils the following qualitative facts about tumors: 1) The state of a tissue in gene expression space may be described by a few variables. In particular, there is a single variable describing the progression from a normal tissue to a tumor. 2) Each cancer localization is characterized by a gene expression profile, in which genes have specific weights in the definition of the cancer state. There are no less than 2500 differentially-expressed genes, which lead to power-like tails in the expression distribution functions. 3) Tumors in different localizations share hundreds or even thousands of differentially expressed genes. There are 6 genes common to the 15 studied tumor localizations. 4) The tumor region is a kind of attractor. Tumors in advanced stages converge to this region independently of patient age or genetic variability. 5) There is a landscape of cancer in gene expression space with an approximate border separating normal tissues from tumors.
