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卵巢癌中的拷贝数特征和突变过程。

Copy number signatures and mutational processes in ovarian carcinoma.

机构信息

Cancer Research UK Cambridge Institute, Cambridge, UK.

Institute of Cancer Sciences, University of Glasgow, Glasgow, UK.

出版信息

Nat Genet. 2018 Sep;50(9):1262-1270. doi: 10.1038/s41588-018-0179-8. Epub 2018 Aug 13.

Abstract

The genomic complexity of profound copy number aberrations has prevented effective molecular stratification of ovarian cancers. Here, to decode this complexity, we derived copy number signatures from shallow whole-genome sequencing of 117 high-grade serous ovarian cancer (HGSOC) cases, which were validated on 527 independent cases. We show that HGSOC comprises a continuum of genomes shaped by multiple mutational processes that result in known patterns of genomic aberration. Copy number signature exposures at diagnosis predict both overall survival and the probability of platinum-resistant relapse. Measurement of signature exposures provides a rational framework to choose combination treatments that target multiple mutational processes.

摘要

深层拷贝数畸变的基因组复杂性阻碍了卵巢癌的有效分子分层。在这里,为了解码这种复杂性,我们从 117 例高级别浆液性卵巢癌(HGSOC)病例的浅层全基因组测序中推导出拷贝数特征,并在 527 个独立病例中进行了验证。我们表明,HGSOC 由多个突变过程形成的连续基因组组成,这些过程导致了已知的基因组畸变模式。诊断时的拷贝数特征暴露预测了总体生存率和铂耐药复发的概率。特征暴露的测量为选择靶向多个突变过程的联合治疗提供了合理的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db69/6130818/533de7709ec7/emss-78219-f001.jpg

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