Faculty, Staff and Student Publications
Language
English
Publication Date
10-1-2024
Journal
American Journal of Hematology
DOI
10.1002/ajh.27435
PMID
39016111
Abstract
Cytogenomic characterization is crucial for the classification and risk stratification of acute myeloid leukemia (AML), thereby facilitating therapeutic decision-making. We examined the clinical utility of optical genome mapping (OGM) in 159 AML patients (103 newly diagnosed and 56 refractory/relapsed), all of whom also underwent chromosomal banding analysis (CBA), fluorescence in situ hybridization, and targeted next-generation sequencing. OGM detected nearly all clinically relevant cytogenetic abnormalities that SCG identified with >99% sensitivity, provided the clonal burden was above 20%. OGM identified additional cytogenomic aberrations and/or provided information on fusion genes in 77 (48%) patients, including eight patients with normal karyotypes and four with failed karyotyping. The most common additional alterations identified by OGM included chromoanagenesis (n = 23), KMT2A partial tandem duplication (n = 11), rearrangements involving MECOM (n = 7), NUP98 (n = 2), KMT2A (n = 2), JAK2 (n = 2), and other gene fusions in 17 patients, with 10 showing novel fusion gene partners. OGM also pinpointed fusion genes in 17 (11%) patients where chromosomal rearrangements were concurrently detected by OGM and CBA. Overall, 24 (15%) aberrations were identified exclusively by OGM and had the potential to alter AML classification, risk stratification, and/or clinical trial eligibility. OGM emerges as a powerful tool for identifying fusion genes and detecting subtle or cryptic cytogenomic aberrations that may otherwise remain undetectable by CBA.
Keywords
Humans, Leukemia, Myeloid, Acute, Female, Middle Aged, Male, Adult, Aged, Precision Medicine, Aged, 80 and over, Adolescent, Chromosome Aberrations, Risk Assessment, High-Throughput Nucleotide Sequencing, Young Adult, Chromosome Mapping, Oncogene Proteins, Fusion, Karyotyping
Published Open-Access
yes
Recommended Citation
Loghavi, Sanam; Wei, Qing; Ravandi, Farhad; et al., "Optical Genome Mapping Improves the Accuracy of Classification, Risk Stratification, and Personalized Treatment Strategies for Patients With Acute Myeloid Leukemia" (2024). Faculty, Staff and Student Publications. 5558.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/5558
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