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突变和生长速率对微卫星不稳定性模式的影响。

Effects of mutation and growth rates on patterns of microsatellite instability.

作者信息

Li Z H, Aaltonen L A, Shu Q, Srivastava S, Grizzle W E, Shibata D

机构信息

Department of Pathology, University of Southern California School of Medicine, CA 90033, USA.

出版信息

Am J Pathol. 1996 Jun;148(6):1757-61.

Abstract

The detection of somatic microsatellite (MS) alterations in tumors is often interpreted as a sign of underlying genomic instability. However, it is unclear why the proportions of altered MS loci vary between different mutator phenotype tumors. We present a simple mathematical analysis that can account for some of these differences, recognizing that the mutations accumulated in a tumor reflect both its mutation rate and number of cell divisions. Only a small proportion of mutated MS loci are expected in tumors with normal or low mutation rates. In contrast, tumors with high mutation rates may or may not acquire mutations depending on the numbers of divisions that proceed the onset of the mutator phenotype. The majority of MS loci should accumulate mutations if high mutation rates are acquired early in tumor progression. Somatic MS mutations provide clues to both the mode and tempo of tumori-genesis.

摘要

肿瘤中体细胞微卫星(MS)改变的检测通常被解释为潜在基因组不稳定的标志。然而,目前尚不清楚为何不同突变体表型肿瘤中MS位点改变的比例会有所不同。我们提出了一种简单的数学分析方法,该方法能够解释其中的一些差异,因为我们认识到肿瘤中积累的突变既反映了其突变率,也反映了细胞分裂的次数。在突变率正常或较低的肿瘤中,预计只有一小部分MS位点会发生突变。相比之下,具有高突变率的肿瘤可能会也可能不会获得突变,这取决于在突变体表型出现之前进行的分裂次数。如果在肿瘤进展早期就获得了高突变率,那么大多数MS位点应该会积累突变。体细胞MS突变既为肿瘤发生的模式也为其进程提供了线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da29/1861626/045271a77521/amjpathol00042-0044-a.jpg

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