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Pan-cancer genome and transcriptome analyses of 1,699 pediatric leukemias and solid tumors

Analysis of molecular aberrations across multiple cancer types, known as pan-cancer analysis, identifies commonalities and differences in key biological processes dysregulated in cancer cells from diverse lineages. Pan-cancer analyses have been performed for adult(1–4) but not pediatric cancers, whi...

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Detalles Bibliográficos
Autores principales: Ma, Xiaotu, Liu, Yu, Liu, Yanling, Alexandrov, Ludmil B, Edmonson, Michael N., Gawad, Charles, Zhou, Xin, Li, Yongjin, Rusch, Michael C., Easton, John, Huether, Robert, Gonzalez-Pena, Veronica, Wilkinson, Mark R., Hermida, Leandro C., Davis, Sean, Sioson, Edgar, Pounds, Stanley, Cao, Xueyuan, Ries, Rhonda E., Wang, Zhaoming, Chen, Xiang, Dong, Li, Diskin, Sharon J., Smith, Malcolm A., Guidry Auvil, Jaime M., Meltzer, Paul S., Lau, Ching C., Perlman, Elizabeth J., Maris, John M., Meshinchi, Soheil, Hunger, Stephen P., Gerhard, Daniela S., Zhang, Jinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854542/
https://www.ncbi.nlm.nih.gov/pubmed/29489755
http://dx.doi.org/10.1038/nature25795
Descripción
Sumario:Analysis of molecular aberrations across multiple cancer types, known as pan-cancer analysis, identifies commonalities and differences in key biological processes dysregulated in cancer cells from diverse lineages. Pan-cancer analyses have been performed for adult(1–4) but not pediatric 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 (SNVs), small insertion/deletions (indels), structural variations (SVs), copy number alterations (CNAs), gene fusions and internal tandem duplications (ITDs), in 1,699 pediatric leukemia and solid tumours across six histotypes, with whole-genome (WGS), whole-exome (WES) and transcriptome (RNA-seq) sequencing data processed under a uniform analytical framework (Online Methods and Extended Data Fig. 1). We report 142 driver genes in pediatric cancers, of which only 45% matched those found in adult pan-cancer studies and CNAs and SVs constituted the majority (62%) of events. Eleven genome-wide mutational signatures were identified, including one attributed to ultraviolet-light exposure in eight aneuploid leukemias. 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 pediatric cancers and emphasize the need for pediatric cancer-specific development of precision therapies.