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Abstract
Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms.
Targeted sequencing panels such as MSK-IMPACT have been successfully used to profile solid tumours in clinical settings. Here, the authors develop and implement the MSK-IMPACT Heme sequencing panel and platform to profile haematologic malignancies using paired tumor and normal tissues.
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1 Memorial Sloan Kettering Cancer Center, Department of Pathology and Laboratory Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); C2i Genomics, New York, USA (GRID:grid.51462.34)
2 Memorial Sloan Kettering Cancer Center, Department of Pathology and Laboratory Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
3 Memorial Sloan Kettering Cancer Center, Department of Pathology and Laboratory Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Guardant Health, Palo Alto, USA (GRID:grid.511203.4)
4 Memorial Sloan Kettering Cancer Center, Human Oncology & Pathogenesis Program, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
5 Memorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
6 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
7 Memorial Sloan Kettering Cancer Center, Human Oncology & Pathogenesis Program, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
8 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Northwestern University, Lurie Comprehensive Cancer Center, Chicago, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507)
9 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Oncology R&D, AstraZeneca, New York, USA (GRID:grid.418152.b) (ISNI:0000 0004 0543 9493)
10 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Weill Cornell Medical College, Department of Medicine, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X)
11 Memorial Sloan Kettering Cancer Center, Department of Pathology and Laboratory Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Memorial Sloan Kettering Cancer Center, Human Oncology & Pathogenesis Program, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
12 Memorial Sloan Kettering Cancer Center, Department of Pathology and Laboratory Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Oncology R&D, AstraZeneca, New York, USA (GRID:grid.418152.b) (ISNI:0000 0004 0543 9493)