Optical genome mapping improves the accuracy of classification, risk stratification, and personalized treatment strategies for patients with acute myeloid leukemia.
Sanam LoghaviQing WeiFarhad RavandiAndres E QuesadaMark J RoutbortShimin HuGokce A TorunerSa A WangWei WangRoberto N MirandaShaoying LiJie XuCourtney D D DiNardoNaval G DaverTapan Mahendra KadiaGhayas C IssaHagop M KantarjianL Jeffrey MedeirosGuillin TangPublished in: American journal of hematology (2024)
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.
Keyphrases
- acute myeloid leukemia
- newly diagnosed
- copy number
- end stage renal disease
- genome wide
- clinical trial
- ejection fraction
- chronic kidney disease
- machine learning
- high resolution
- genome wide identification
- dna methylation
- patient reported
- gene expression
- cancer therapy
- acute lymphoblastic leukemia
- social media
- human immunodeficiency virus
- climate change
- drug delivery
- multiple myeloma
- transcription factor
- hiv testing
- high speed