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癌症中的结构突变:机制和功能见解。

Structural mutations in cancer: mechanistic and functional insights.

机构信息

Cancer Biology and Pharmacology, Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore 138672, Singapore.

出版信息

Trends Genet. 2012 Nov;28(11):550-9. doi: 10.1016/j.tig.2012.07.002. Epub 2012 Aug 17.

Abstract

Next-generation sequencing (NGS) has enabled the comprehensive and precise identification of many somatic structural mutations in cancer. Analyses integrating point mutation information with data on rearrangements and copy number variation have revealed a higher-order organization of the seemingly random genetic events that lead to cancer. These meta-analyses provide a more refined view of the mutational mechanisms, genomic evolution, and combinations of mutations that contribute to tumorigenesis. Structural mutations, or genome-scale rearrangements of segments of DNA, may play a hitherto unappreciated role in cancer through their ability to move blocks of adjacent genes simultaneously, leading to concurrent oncogenic events. Moreover, whole-genome sequencing (WGS) data from tumors have revealed global rearrangements, such as those seen in the tandem duplicator phenotype and in chromothripsis, suggesting that massive rearrangements are a specific cancer phenotype. Taken together, the emerging data suggest that the chromosome structure itself functions as a systems oncogenic organizer.

摘要

下一代测序(NGS)使得对癌症中的许多体细胞结构突变进行全面和精确的鉴定成为可能。将点突变信息与重排和拷贝数变异的数据进行整合分析,揭示了导致癌症的看似随机的遗传事件的更高阶组织。这些荟萃分析提供了对突变机制、基因组进化以及导致肿瘤发生的突变组合的更精细的观察。结构突变,或 DNA 片段的全基因组重排,可能通过能够同时移动相邻基因的块的能力,在癌症中发挥迄今尚未被认识的作用,导致同时发生致癌事件。此外,来自肿瘤的全基因组测序(WGS)数据揭示了全局重排,如串联重复表型和染色体重排中所见,表明大规模重排是一种特定的癌症表型。综上所述,新兴数据表明染色体结构本身作为系统致癌组织者发挥作用。

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