生物
卵巢癌
拷贝数变化
计算生物学
基因组
遗传学
卵巢癌
基因
癌症
作者
Geoff Macintyre,Teodora Goranova,Dilrini De Silva,Darren Ennis,Anna Piskorz,Matthew Eldridge,Daoud Sie,Liz-Anne Lewsley,Aishah Hanif,Cheryl A. Wilson,Suzanne Dowson,Rosalind Glasspool,Michelle Lockley,Elly Brockbank,Ana Fernández Montés,Axel Walther,Sudha Sundar,Richard J. Edmondson,Geoff Hall,Andrew R. Clamp
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2018-08-09
卷期号:50 (9): 1262-1270
被引量:387
标识
DOI:10.1038/s41588-018-0179-8
摘要
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. The authors identify copy number signatures from shallow whole-genome sequencing of high-grade serous ovarian cancer (HGSOC) cases. HGSOC comprises a continuum of genomes shaped by multiple mutational processes that result in genomic aberration.
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