Nature Communications (Oct 2020)

Pan-neuroblastoma analysis reveals age- and signature-associated driver alterations

  • Samuel W. Brady,
  • Yanling Liu,
  • Xiaotu Ma,
  • Alexander M. Gout,
  • Kohei Hagiwara,
  • Xin Zhou,
  • Jian Wang,
  • Michael Macias,
  • Xiaolong Chen,
  • John Easton,
  • Heather L. Mulder,
  • Michael Rusch,
  • Lu Wang,
  • Joy Nakitandwe,
  • Shaohua Lei,
  • Eric M. Davis,
  • Arlene Naranjo,
  • Cheng Cheng,
  • John M. Maris,
  • James R. Downing,
  • Nai-Kong V. Cheung,
  • Michael D. Hogarty,
  • Michael A. Dyer,
  • Jinghui Zhang

DOI
https://doi.org/10.1038/s41467-020-18987-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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Genomic analysis of neuroblastoma has revealed important disease etiology. In this study, the authors assembled whole genome, exome and transcriptome data from over 700 neuroblastomas and identified molecular signatures correlated with age, and rare, potentially targetable variants overlooked in smaller cohorts.