11. Optical genome mapping for chromosomal structural variants analysis in hematological malignancies

Cancer Genetics(2022)

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摘要
Knowledge of copy number (CNVs) and structural variants (SVs) is important for the diagnosis and management of hematological malignancies (HM). In myelodysplastic syndromes (MDS), the number and type of SVs/CNVs are essential for prognostic risk-stratification using R-IPSS. Optical genome mapping (OGM) is a novel, single-platform, cytogenomic technique for genome-wide characterization of all types of CNVs/SVs at a high resolution. In this study, we evaluated the performance of OGM in a series of previously well-characterized 49 hematological malignancies (46 MDS, 1 AML and 2 T-ALL) compared to standard-of-care cytogenetic tests. Ultra-high-molecular-weight-DNA extraction from clinical BM samples was followed by DNA labeling and sequential imaging (Saphyr, Bionano) [median coverage: 300X]. Data extracted from rare variant pipeline was filtered for clinically significant variants using standard criteria. OGM successfully facilitated the detection and detailed characterization of 60/65 clonal aberrations (including copy number gains/losses, inversions, inter/intra-chromosomal translocations, dicentric and complex derivative chromosomes) with concordance rates of >95% with conventional karyotyping and 100% with chromosomal microarray. OGM permitted precise gene-level mapping of clinically informative genes such as TP53, TET2 and KMT2A, voiding the need for multiple confirmatory assays. OGM resolved the add/marker chromosomes, and deciphered the underlying complexity and clonal heterogeneity that were not apparent using standard technologies. Further, OGM uncovered 11 additional clinically significant cryptic aberrations in 8 patients [5q/7q/11q deletions, ABL1/TET2 deletions, der5, 2 novel fusions including t(9;11)]. OGM is a powerful and reliable single-platform cytogenomic tool for high-throughput and accurate detection of clinically important SVs in MDS and other HM.
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关键词
optical genome mapping,chromosomal structural variants analysis,hematological malignancies
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