癌症基因表达景观研究
On the gene expression landscape of cancer
AI总结：
该研究通过主成分分析TCGA数据，揭示癌症基因表达景观的关键特征：单一变量描述肿瘤进展、存在大量差异表达基因及共有基因、肿瘤区域为吸引子，并存在正常组织与肿瘤的近似边界。
摘要：
对TCGA数据库中15种癌症定位数据的主成分分析揭示了关于肿瘤的以下定性事实：1）组织在基因表达空间中的状态可由少数变量描述。特别是，存在一个单一变量描述从正常组织到肿瘤的进展过程。2）每种癌症定位具有特定的基因表达谱，其中基因在癌症状态定义中具有特定权重。差异表达基因不少于2500个，这导致表达分布函数出现幂律尾部。3）不同定位的肿瘤共享数百甚至数千个差异表达基因。在研究的15种肿瘤定位中，有6个基因是共有的。4）肿瘤区域是一种吸引子。晚期肿瘤无论患者年龄或遗传变异性如何，均收敛于该区域。5）基因表达空间中存在癌症景观，其具有近似边界，将正常组织与肿瘤区分开来。
英文摘要：
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.
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