2023
DOI: 10.1002/path.6085
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Optical genome mapping identifies a novel pediatric embryonal tumor with a ZNF532::NUTM1 fusion

Abstract: The molecular characteristics of pediatric brain tumors have not only allowed for tumor subgrouping but have led to the introduction of novel treatment options for patients with specific tumor alterations. Therefore, an accurate histologic and molecular diagnosis is critical for optimized management of all pediatric patients with brain tumors, including central nervous system embryonal tumors. We present a case where optical genome mapping identified a ZNF532::NUTM1 fusion in a patient with a unique tumor best… Show more

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Cited by 4 publications
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“…Optical genome mapping (developed by Bionano Genomics, San Diego, CA, USA) excels at detecting structural variants (SV), such as balanced translocations and deletions/insertions in the 1 kb to 1 Mb range, and its clinical utility was demonstrated in Duchenne (DMD) or facioscapulohumeral (FSHD) muscular dystrophies ( Barseghyan et al, 2017 ; Sharim et al, 2019 ), and cancer ( Neveling et al, 2021 ; Talsania et al., 2022 ; Bornhorst et al, 2023 ). But long-read sequence (LRS), developed by Pacific Biosciences (Menlo Park, CA, USA) and Oxford Nanopore Technologies (Oxford, UK) among others, has been shown to be the most appropriate technology to detect smaller variants in the 50 bp-1 kb range ( Chaisson et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…Optical genome mapping (developed by Bionano Genomics, San Diego, CA, USA) excels at detecting structural variants (SV), such as balanced translocations and deletions/insertions in the 1 kb to 1 Mb range, and its clinical utility was demonstrated in Duchenne (DMD) or facioscapulohumeral (FSHD) muscular dystrophies ( Barseghyan et al, 2017 ; Sharim et al, 2019 ), and cancer ( Neveling et al, 2021 ; Talsania et al., 2022 ; Bornhorst et al, 2023 ). But long-read sequence (LRS), developed by Pacific Biosciences (Menlo Park, CA, USA) and Oxford Nanopore Technologies (Oxford, UK) among others, has been shown to be the most appropriate technology to detect smaller variants in the 50 bp-1 kb range ( Chaisson et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%