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Optical genome mapping improves the accuracy of classification, risk stratification, and personalized treatment strategies for patients with acute myeloid leukemia.
Loghavi, Sanam; Wei, Qing; Ravandi, Farhad; Quesada, Andres E; Routbort, Mark J; Hu, Shimin; Toruner, Gokce A; Wang, Sa A; Wang, Wei; Miranda, Roberto N; Li, Shaoying; Xu, Jie; DiNardo, Courtney D; Daver, Naval; Kadia, Tapan M; Issa, Ghayas C; Kantarjian, Hagop M; Medeiros, L Jeffrey; Tang, Guilin.
Affiliation
  • Loghavi S; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Wei Q; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Ravandi F; Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Quesada AE; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Routbort MJ; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Hu S; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Toruner GA; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Wang SA; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Wang W; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Miranda RN; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Li S; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Xu J; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • DiNardo CD; Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Daver N; Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Kadia TM; Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Issa GC; Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Kantarjian HM; Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Medeiros LJ; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Tang G; Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
Am J Hematol ; 2024 Jul 17.
Article in En | MEDLINE | ID: mdl-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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Am J Hematol Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Am J Hematol Year: 2024 Type: Article Affiliation country: United States