论文标题
估计基因表达空间中正常组织和肿瘤组织的可用状态数量
Estimating the number of available states for normal and tumor tissues in gene expression space
论文作者
论文摘要
通过类似熵的幅度研究了一组12种癌症类型的基因表达空间的拓扑，这允许表征肿瘤和正常样品所占据的区域。比较表明，基因表达空间中可用状态的数量比正常组织要大得多，这表明进展到肿瘤相的不可逆性。肿瘤的熵几乎是恒定的，而正常组织的变异性较高，可能是由于组织分化。此外，我们在可用状态的比例与肿瘤和正常样品云之间的重叠之间显示了有趣的相关性，这被解释为在更有序或结构化组织中将衰减速率降低到肿瘤相的一种方式。
The topology of gene expression space for a set of 12 cancer types is studied by means of an entropy-like magnitude, which allows the characterization of the regions occupied by tumor and normal samples. The comparison indicates that the number of available states in gene expression space is much greater for tumors than for normal tissues, suggesting the irreversibility of the progression to the tumor phase. The entropy is nearly constant for tumors, whereas exhibits a higher variability in normal tissues, probably due to tissue differentiation. In addition, we show an interesting correlation between the fraction of available states and the overlapping between the tumor and normal sample clouds, interpreted as a way of reducing the decay rate to the tumor phase in more ordered or structured tissues.
