Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours

转录组 生物 基因组 外显子组 基因 癌症 遗传学 外显子组测序 基因组学 串联外显子复制 等位基因 体细胞 癌症研究 计算生物学 突变 基因表达
作者
Xiaotu Ma,Yu Liu,Yanling Liu,Ludmil B. Alexandrov,Michael N. Edmonson,Charles Gawad,Xin Zhou,Yongjin Li,Michael Rusch,John Easton,Robert Huether,Veronica Gonzalez-Pena,Mark R. Wilkinson,Leandro C. Hermida,Sean Davis,Edgar Sioson,Stanley Pounds,Xueyuan Cao,Rhonda E. Ries,Zhaoming Wang,Xiang Chen,Li Dong,Sharon J. Diskin,Malcolm A. Smith,Jaime M. Guidry Auvil,Paul S. Meltzer,Ching C. Lau,Elizabeth J. Perlman,John M. Maris,Soheil Meshinchi,Stephen P. Hunger,Daniela S. Gerhard,Jinghui Zhang
出处
期刊:Nature [Springer Nature]
卷期号:555 (7696): 371-376 被引量:764
标识
DOI:10.1038/nature25795
摘要

Abstract Analysis of molecular aberrations across multiple cancer types, known as pan-cancer analysis, identifies commonalities and differences in key biological processes that are dysregulated in cancer cells from diverse lineages. Pan-cancer analyses have been performed for adult 1,2,3,4 but not paediatric cancers, which commonly occur in developing mesodermic rather than adult epithelial tissues 5 . Here we present a pan-cancer study of somatic alterations, including single nucleotide variants, small insertions or deletions, structural variations, copy number alterations, gene fusions and internal tandem duplications in 1,699 paediatric leukaemias and solid tumours across six histotypes, with whole-genome, whole-exome and transcriptome sequencing data processed under a uniform analytical framework. We report 142 driver genes in paediatric cancers, of which only 45% match those found in adult pan-cancer studies; copy number alterations and structural variants constituted the majority (62%) of events. Eleven genome-wide mutational signatures were identified, including one attributed to ultraviolet-light exposure in eight aneuploid leukaemias. Transcription of the mutant allele was detectable for 34% of protein-coding mutations, and 20% exhibited allele-specific expression. These data provide a comprehensive genomic architecture for paediatric cancers and emphasize the need for paediatric cancer-specific development of precision therapies.

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