Germline susceptibility from broad genomic profiling of pediatric brain cancers

Author:

Mardis Elaine R12ORCID,Potter Samara L12,Schieffer Kathleen M13,Varga Elizabeth A1,Mathew Mariam T13,Costello Heather M1,Wheeler Gregory1,Kelly Benjamin J1,Miller Katherine E12,Garfinkle Elizabeth A R1,Wilson Richard K12,Cottrell Catherine E13

Affiliation:

1. The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital , Columbus, Ohio , USA

2. Department of Pediatrics, The Ohio State University College of Medicine , Columbus, Ohio , USA

3. Department of Pathology, The Ohio State University College of Medicine , Columbus, Ohio , USA

Abstract

Abstract Background Identifying germline predisposition in CNS malignancies is of increasing clinical importance, as it contributes to diagnosis and prognosis, and determines aspects of treatment. The inclusion of germline testing has historically been limited due to challenges surrounding access to genetic counseling, complexity in acquiring a germline comparator specimen, concerns about the impact of findings, or cost considerations. These limitations were further defined by the breadth and scope of clinical testing to precisely identify complex variants as well as concerns regarding the clinical interpretation of variants including those of uncertain significance. Methods In the course of conducting an IRB-approved protocol that performed genomic, transcriptomic and methylation-based characterization of pediatric CNS malignancies, we cataloged germline predisposition to cancer based on paired exome capture sequencing, coupled with computational analyses to identify variants in known cancer predisposition genes and interpret them relative to established clinical guidelines. Results In certain cases, these findings refined diagnosis or prognosis or provided important information for treatment planning. Conclusions We outline our aggregate findings on cancer predisposition within this cohort which identified 16% of individuals (27 of 168) harboring a variant predicting cancer susceptibility and contextualize the impact of these results in terms of treatment-related aspects of precision oncology.

Funder

Nationwide Innovation Fund

Publisher

Oxford University Press (OUP)

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