Blood AdvancesGenetic & Genomic MedicinePeer-reviewed journal article
Allelic Complexity of KMT2A Partial Tandem Duplications in Acute Myeloid Leukemia and Myelodysplastic Syndromes
Harrison Kwei TsaiiD, Christopher James GibsoniD, H. Moses MurdockiD, Phani K. DavineniiD, Marian H. HarrisiD, Eunice S. WangiD, Lukasz P. GondekiD, Annette S. KimiD, Valentina NardiiD, Robert Coleman LindsleyiD
Abstract
KMT2A partial tandem duplication (KMT2A-PTD) at 11q23.3 is associated with adverse risk in AML and MDS, is a potential therapeutic target, and is an attractive marker of measurable residual disease. High initial KMT2A-PTD RNA levels have been linked to poor prognosis, but mechanisms regulating KMT2A-PTD expression are not well understood. While it has been reported that KMT2A-PTD affects only a single allele, it has been theorized but not proven that duplications or genomic gains of a monoallelic KMT2A-PTD may occur, thereby potentially driving high expression and disease progression. Copy neutral loss of heterozygosity (CN-LOH) of 11q has also been described and is known to be associated with mutations in CBL but has not been reported to involve KMT2A-PTD. In this study, we identified 94 patients with KMT2A-PTDs using targeted DNA next-generation sequencing (NGS) and found that 16% (15/94) had complex secondary events, including CN-LOH and selective gain involving the KMT2A-PTD allele. High copy numbers indicating complexity were significantly enriched in AML versus MDS and correlated with higher RNA expression. Moreover, in serial samples, complexity was associated with relapse and secondary transformation. Taken together, we provide approaches to integrate quantitative and allelic assessment of KMT2A-PTDs into targeted DNA NGS and demonstrate that secondary genetic events occur in KMT2A-PTD by multiple mechanisms that may be linked to myeloid disease progression by driving increased expression from the affected allele.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- research focus: differential expression
- research focus: benchmarking
- approach: statistical model
- Citations
- 20
- FWCI
- 3.27
- Field percentile
- top 7%
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