Kimmel M, Axelrod D E
Investigative Cytology Laboratory, Memorial Sloan-Kettering Cancer Center, New York 10021.
Genetics. 1990 Jul;125(3):633-44. doi: 10.1093/genetics/125.3.633.
An increased number of copies of specific genes may offer an advantage to cells when they grow in restrictive conditions such as in the presence of toxic drugs, or in a tumor. Three mathematical models of gene amplification and deamplification are proposed to describe the kinetics of unstable phenotypes of cells with amplified genes. The models differ in details but all assume probabilistic mechanisms of increase and decrease in gene copy number per cell (gene amplification/deamplification). Analysis of the models indicates that a stable distribution of numbers of copies of genes per cell, observed experimentally, exists only if the probability of deamplification exceeds the probability of amplification. The models are fitted to published data on the loss of methotrexate resistance in cultured cell lines, due to the loss of amplified dihydrofolate reductase gene. For two mouse cell lines unstably resistant to methotrexate the probabilities of amplification and deamplification of the dihydrofolate reductase gene on double minute chromosomes are estimated to be approximately 2% and 10%, respectively. These probabilities are much higher than widely presumed. The models explain the gradual disappearance of the resistant phenotype when selective pressure is withdrawn, by postulating that the rate of deamplification exceeds the rate of amplification. Thus it is not necessary to invoke a growth advantage of nonresistant cells which has been the standard explanation. For another analogous process, the loss of double minute chromosomes containing the myc oncogene from SEWA tumor cells, the growth advantage model does seem to be superior to the amplification and deamplification model. In a more theoretical section of the paper, it is demonstrated that gene amplification/deamplification can result in reduction to homozygosity, such as is observed in some tumors. Other applications are discussed.
当细胞在诸如存在有毒药物或肿瘤等限制性条件下生长时,特定基因拷贝数的增加可能会赋予细胞某种优势。本文提出了三种基因扩增和去扩增的数学模型,以描述具有扩增基因的细胞不稳定表型的动力学。这些模型在细节上有所不同,但都假设了每个细胞基因拷贝数增加和减少的概率机制(基因扩增/去扩增)。对模型的分析表明,只有当去扩增的概率超过扩增的概率时,实验观察到的每个细胞基因拷贝数的稳定分布才会存在。这些模型被用于拟合已发表的关于培养细胞系中由于扩增的二氢叶酸还原酶基因丢失而导致甲氨蝶呤抗性丧失的数据。对于两种对甲氨蝶呤不稳定抗性的小鼠细胞系,估计双微小染色体上二氢叶酸还原酶基因的扩增和去扩增概率分别约为2%和10%。这些概率比广泛推测的要高得多。这些模型通过假设去扩增速率超过扩增速率,解释了去除选择压力后抗性表型的逐渐消失。因此,没有必要援引非抗性细胞的生长优势,而这一直是标准的解释。对于另一个类似的过程,即SEWA肿瘤细胞中含有myc癌基因的双微小染色体的丢失,生长优势模型似乎优于扩增和去扩增模型。在本文更具理论性的部分,证明了基因扩增/去扩增可导致纯合化,如在某些肿瘤中观察到的那样。还讨论了其他应用。