Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal ap Show more
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (nā=ā17) pediatric leukemia cohort. We show that this methodology successfully determined all known crSVs (nā=ā5/5) detected through routine clinical testing. This approach also identified crSVs that resulted in the classification of a leukemia genetic subtype for four additional patients (nā=ā4/12), such as an ins(11;10)(q23.3;p12p12) forming a KMT2A::MLLT10 fusion, that were missed by routine clinical approaches. This study demonstrates the diagnostic potential of lrSeq as an assay for SV detection in pediatric leukemia and supports lrSeq as a valuable tool for the accurate detection of crSVs. Show less
Lisa A Lansdon, Byunggil Yoo, Ayse Keskus+23 more Ā· 2024 Ā· medRxiv : the preprint server for health sciences Ā· Cold Spring Harbor Laboratory Ā· added 2026-04-24
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variant (SVs). Current clinical workflows to detect such alterations rely on a multimodal app Show more
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variant (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (n = 17) pediatric leukemia cohort. We show that this methodology successfully determined all known crSVs detected through routine clinical testing. We also identified crSVs, such as an ins(11;10)(q23.3;p12p12) forming a KMT2A::MLLT10 fusion, missed by routine clinical approaches, resulting in the classification of leukemia genetic subtypes for four additional patients. This study demonstrates the diagnostic potential of lrSeq as an assay for SV detection in pediatric leukemia and supports lrSeq as a valuable tool for the accurate detection of crSVs. Show less