Harnevo L E, Agur Z
Department of Mathematics and Computer Sciences, Bar-Ilan University, Ramat-Gan, Israel.
Mutat Res. 1993 Aug;292(1):17-24. doi: 10.1016/0165-1161(93)90004-j.
Recently it has been suggested that high levels of cancer drug resistance and poor prognosis are strongly associated with gene or oncogene amplification (GA). It has been further suggested that the molecular mechanisms underlying GA may be different for different genes, and that different amplification mechanisms may function concurrently or sequentially in the same gene. The aim of this review is to demonstrate the use of mathematical models in studying these intricate dynamics. We have provided mathematical models for the generation of extrachromosomal elements, their autonomous replication and equal or unequal mitotic segregation, the integration of the extrachromosomal elements within the chromosomes, and chromosomal GA in one or many unlinked genes. Using this formal description one can examine the potential role of each GA mechanism in the generation of specific distributions of gene-copy number in a cell population, under various levels of selection stringency. Thus one can specify the conditions for the emergence of drug-resistant mutants prior to selection, as well as the relationships between the stringency of the selecting environment and the characteristics of the resultant cellular phenotype.
最近有研究表明,高水平的癌症耐药性和不良预后与基因或癌基因扩增(GA)密切相关。进一步的研究表明,不同基因的GA潜在分子机制可能不同,且不同的扩增机制可能在同一基因中同时或相继发挥作用。本综述的目的是展示数学模型在研究这些复杂动态过程中的应用。我们提供了数学模型,用于描述染色体外元件的产生、其自主复制和均等或不均等的有丝分裂分离、染色体外元件在染色体内的整合,以及一个或多个不连锁基因中的染色体GA。通过这种形式化描述,可以在不同选择严格程度下,研究每种GA机制在细胞群体中基因拷贝数特定分布产生过程中的潜在作用。因此,可以确定在选择之前耐药突变体出现的条件,以及选择环境的严格程度与所得细胞表型特征之间的关系。