Frontiers in Oncology (Jul 2023)

Linked-read based analysis of the medulloblastoma genome

  • Melissa Zwaig,
  • Michael J. Johnston,
  • John J.Y. Lee,
  • John J.Y. Lee,
  • Hamza Farooq,
  • Marco Gallo,
  • Nada Jabado,
  • Nada Jabado,
  • Nada Jabado,
  • Michael D. Taylor,
  • Michael D. Taylor,
  • Jiannis Ragoussis

DOI
https://doi.org/10.3389/fonc.2023.1221611
Journal volume & issue
Vol. 13

Abstract

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IntroductionMedulloblastoma is the most common type of malignant pediatric brain tumor with group 4 medulloblastomas (G4 MBs) accounting for 40% of cases. However, the molecular mechanisms that underlie this subgroup are still poorly understood. Point mutations are detected in a large number of genes at low incidence per gene while the detection of complex structural variants in recurrently affected genes typically requires the application of long-read technologies.MethodsHere, we applied linked-read sequencing, which combines the long-range genome information of long-read sequencing with the high base pair accuracy of short read sequencing and very low sample input requirements.ResultsWe demonstrate the detection of complex structural variants and point mutations in these tumors, and, for the first time, the detection of extrachromosomal DNA (ecDNA) with linked-reads. We provide further evidence for the high heterogeneity of somatic mutations in G4 MBs and add new complex events associated with it.DiscussionWe detected several enhancer-hijacking events, an ecDNA containing the MYCN gene, and rare structural rearrangements, such a chromothripsis in a G4 medulloblastoma, chromoplexy involving 8 different chromosomes, a TERT gene rearrangement, and a PRDM6 duplication.

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