Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands.
Bioinformatics. 2011 Feb 15;27(4):556-63. doi: 10.1093/bioinformatics/btq704. Epub 2010 Dec 20.
As cancer progresses, DNA copy number aberrations accumulate and the genomic entropy (chromosomal disorganization) increases. For this surge to have any oncogenetic effect, it should (to some extent) be reflected at other molecular levels of the cancer cell, in particular that of the transcriptome. Such a coincidence of cancer progression and the propagation of an entropy increase through the molecular levels of the cancer cell would enhance the understanding of cancer evolution.
A statistical argument reveals that (under some assumptions) an entropy increase in one random variable (DNA copy number) leads to an entropy increase in another (gene expression). Statistical methodology is provided to investigate the relation between the genomic and transcriptomic entropy using high-throughput data. Analyses of multiple high-throughput datasets using this methodology show a close, concordant relation among the genomic and transcriptomic entropy. Hence, as cancer evolves, and the genomic entropy increases, the transcriptomic entropy is also expected to surge.
随着癌症的进展，DNA 拷贝数异常积累，基因组熵（染色体紊乱）增加。为了使这种激增产生任何致癌效应，它应该（在某种程度上）在癌细胞的其他分子水平上得到反映，特别是在转录组水平上。这种癌症进展和熵在癌细胞的分子水平上的传播的巧合将增强对癌症进化的理解。
统计论证表明（在某些假设下）一个随机变量（DNA 拷贝数）的熵增加会导致另一个随机变量（基因表达）的熵增加。提供了统计方法来使用高通量数据研究基因组和转录组熵之间的关系。使用该方法对多个高通量数据集进行的分析表明，基因组熵和转录组熵之间存在密切一致的关系。因此，随着癌症的进化和基因组熵的增加，转录组熵也有望激增。
