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Single-cell atlas of multiple myeloma and precursor diseases

Single cell profiling of small cohorts of myeloma precursor disease patient samples including monoclonal gammopathy of unknown significance and smoldering multiple myeloma have shown diverse evolutionary patterns and immune changes that occur early in the disease process. Using scRNAseq and scBCRseq in a large cohort of fifty-three patients with myeloma precursor disease in comparison with myeloma and normal donors we describe the early genomic drivers of malignant transformation and describe their divergent clonal expansion in hyperdiploid compared to non-hyperdiploid samples. We describe intra-patient heterogeneity with potential therapeutic implications as well as the distinct evolution patterns (linear/branching) from myeloma precursor disease to myeloma. Finally, we describe the unique adaptations of the microenvironment as a response to distinct genomic changes in myeloma cells. These results further our knowledge to characterize myeloma precursor disease evolution, inform individual patient progression risk stratification and identify potential biomarkers that could be clinically exploited.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001009648 Illumina NovaSeq 6000 65
Publications Citations
Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease.
Cancer Cell 41: 2023 1032-1047.e4
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