We report a unique pediatric case of hypergranular acute myeloid leukemia with myelodysplasia-related changes. The patient presented with moderate leukocytosis with neutrophilia with left-shift maturation and dysplasia, anemia, and multiple sclerotic bone lesions. The bone marrow was hypercellular with a predominance of myeloblast cells and/or abnormal promyelocytes with hypergranular cytoplasm. Flow cytometric immunophenotyping showed that the leukemic cells were positive for CD13, CD33, and myeloperoxidase, and negative for HLA-DR and CD34. Morphology and immunophenotyping were highly suggestive of acute promyelocytic leukemia. The classic t(15;17) or other RARα rearrangements were not detected by cytogenetic or molecular assays, ruling out acute promyelocytic leukemia. Standard cytogenetic analysis showed that the karyotype of the predominant clone was 47,XY,+6 with evidence of clonal evolution to 47,XY,+6,del(5)(q22q33). A literature and database review showed that trisomy 6 is a rare occurrence in hematological malignancies and, to our knowledge, has never been reported in association with del(5)(q22q33) in a child presenting with hypergranular acute myeloid leukemia with myelodysplasia-related changes. We present a current review of the literature and summarize the clinical features of 57 cases of trisomy 6 as the primary chromosomal abnormality in hematological disease.
BackgroundAdvances in molecular technologies and in-silico variant prediction tools offer wide-ranging opportunities in diagnostic settings, yet they also present with significant limitations.ObjectiveHere, we contextualise the limitations of next-generation sequencing (NGS), multiplex ligation-dependent probe amplification (MLPA) and in-silico prediction tools routinely used by diagnostic laboratories by reviewing specific experiences from our diagnostic laboratory.MethodsWe investigated discordant annotations and/or incorrect variant ‘callings’ in exons of 56 genes constituting our cardiomyopathy and connective tissue disorder NGS panels. Discordant variants and segmental duplications (SD) were queried using the National Center for Biotechnology Information (NCBI) Basic Local Alignment Search Tool and the University of California Santa Cruz genome browser, respectively, to identify regions of high homology. Discrepant variant analyses by in-silico models were re-evaluated using updated file entries.ResultsWe observed a 5% error rate in MYH7 variant ‘calling’ using MLPA, which resulted from >90% homology of the MYH7 probe-binding site to MYH6. SDs were detected in TTN, PKP2 and MYLK. SDs in MYLK presented the highest risk (15.7%) of incorrect variant ‘calling’. The inaccurate ‘callings’ and discrepant in-silico predictions were resolved following detailed investigation into the source of error.ConclusionRecognising the limitations described here may help avoid incorrect diagnoses and leverage the power of new molecular technologies in diagnostic settings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.