The spectrum of mitochondrial DNA (mtDNA) mutations in pediatric central nervous system (CNS) tumors

Author:

Kaneva Kristiyana1ORCID,O’Halloran Katrina2,Triska Petr3,Liu Xiyu2,Merkurjev Daria2,Bootwalla Moiz2,Ryutov Alex2,Cotter Jennifer A2,Ostrow Dejerianne2,Biegel Jaclyn A2,Gai Xiaowu2

Affiliation:

1. Division of Hematology-Oncology, Neuro-Oncology & Stem Cell Transplantation, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL

2. Department of Pathology, Children’s Hospital Los Angeles, Los Angeles, CA

3. Department of Paediatric Haematology and Oncology, Second Faculty of Medicine of Charles University, Prague, Czech Republic

Abstract

Abstract Background We previously established the landscape of mitochondrial DNA (mtDNA) mutations in 23 subtypes of pediatric malignancies, characterized mtDNA mutation profiles among these subtypes, and provided statistically significant evidence for a contributory role of mtDNA mutations to pediatric malignancies. Methods To further delineate the spectrum of mtDNA mutations in pediatric CNS tumors, we analyzed 545 tumor-normal paired whole genome sequencing data sets from the Children’s Brain Tumor Tissue Consortium. Results Germline mtDNA variants were used to determine the haplogroup, and maternal ancestry, which was not significantly different among tumor types. Among 166 (30.5%) tumors we detected 220 somatic mtDNA mutations, primarily missense mutations (36.8%), as well as 22 loss-of-function mutations. Different pediatric CNS tumor subtypes had distinct mtDNA mutation profiles. The number of mtDNA mutations per tumor ranged from 0.20 (dysembryoplastic neuroepithelial tumor) to 0.75 (meningiomas). The average heteroplasmy was 10.7%, ranging from 4.6% in atypical teratoid/rhabdoid tumor (AT/RT) to 26% in diffuse intrinsic pontine glioma. High-grade gliomas had a significant higher number of mtDNA mutations per sample than low-grade gliomas (0.6 vs. 0.27) (p = 0.004), with almost twice as many missense mtDNA mutations per sample (0.24 vs. 0.11), and higher average heteroplasmy levels (16% vs. 10%). Recurrent mtDNA mutations may represent hotspots which may serve as biologic markers of disease. Conclusions Our findings demonstrate varying contributions of mtDNA mutations in different subtypes of CNS tumors. Sequencing the mtDNA genome may ultimately be used to characterize CNS tumors at diagnosis and monitor disease progression.

Publisher

Oxford University Press (OUP)

Subject

Electrical and Electronic Engineering,Building and Construction

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