Published October 17, 2023 | Version v1
Journal article Open

Somatic structural variation signatures in pediatric brain tumors

  • 1. University of Chicago

Description

Brain cancer is the leading cause of cancer-related death in children. Somatic structural variations (SVs), large-scale alterations in DNA, remain poorly understood in pediatric brain tumors. Here, we detect a total of 13,199 high-confidence somatic SVs in 744 whole-genome sequences of pediatric brain tumors from the Pediatric Brain Tumor Atlas. The somatic SV occurrences have tremendous diversity among the cohort and across different tumor types. We decompose mutational signatures of clustered complex SVs, non-clustered complex SVs, and simple SVs separately to infer their mutational mechanisms. Our finding of many tumor types carrying unique sets of SV signatures suggests that distinct molecular mechanisms shape genome instability in different tumor types. The patterns of somatic SV signatures in pediatric brain tumors are substantially different from those in adult cancers. The convergence of multiple SV signatures on several major cancer driver genes implies vital roles of somatic SVs in disease progression.

Data availability

The raw normal and tumor whole-genome sequencing data and germline SNVs for 744 pediatric brain tumor patients can be downloaded from CAVATICA (https://cavatica.sbgenomics.com/). Sample characteristics, clinical data, somatic SNV, and somatic CNV data can be retrieved from OpenPBTA (https://github.com/AlexsLemonade/OpenPBTA-analysis). The consensus somatic SVs for PCAWG samples along with clinical information including diagnosis and survival data of adult brain tumors can be obtained from the PCAWG consortium (https://www.sevenbridges.com/case-studies/pcawg/).

This paper does not report original code.

Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.

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Additional details

Identifiers

DOI
10.1016/j.celrep.2023.113276
Other
oai:uchicago.tind.io:9131

Funding

National Institutes of Health
R03CA246228
National Institutes of Health
R01CA269977

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ben May Department for Cancer Research, Human Genetics
Center(s) or Institute(s)
Comprehensive Cancer Center