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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.

Type: Other
Archiver: European Genome-phenome Archive (EGA)

1 Dataset 2 Publications

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	bam files of sc-RNA and sc-BCR sequencing of multiple myeloma and precursors from 65 samples	Illumina NovaSeq 6000	65

Publications	Citations
Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease. Dang M, Wang R, Lee HC, Patel KK, Becnel MR, Han G, Thomas SK, Hao D, Chu Y, Weber DM, Lin P, Lutter-Berka Z, Berrios Nolasco DA, Huang M, Bansal H, Song X, Zhang J, Futreal A, Moreno Rueda LY, Symer DE, Green MR, Rojas Hernandez CM, Kroll M, Afshar-Khargan V, Ndacayisaba LJ, Kuhn P, Neelapu SS, Orlowski RZ, Wang L, Manasanch EE. Cancer Cell 41: 2023 1032-1047.e4	25
Integrative Network Analysis of Single-Cell RNA Findings and a Priori Knowledge Highlights Gene Regulators in Multiple Myeloma Progression. Georgiou G, Zachariou M, Spyrou GM. Int J Mol Sci 27: 2026 793	0

Publications

Citations

Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease.
Dang M, Wang R, Lee HC, Patel KK, Becnel MR, Han G, Thomas SK, Hao D, Chu Y, Weber DM, Lin P, Lutter-Berka Z, Berrios Nolasco DA, Huang M, Bansal H, Song X, Zhang J, Futreal A, Moreno Rueda LY, Symer DE, Green MR, Rojas Hernandez CM, Kroll M, Afshar-Khargan V, Ndacayisaba LJ, Kuhn P, Neelapu SS, Orlowski RZ, Wang L, Manasanch EE. Cancer Cell 41: 2023 1032-1047.e4

Integrative Network Analysis of Single-Cell RNA Findings and a Priori Knowledge Highlights Gene Regulators in Multiple Myeloma Progression.
Georgiou G, Zachariou M, Spyrou GM. Int J Mol Sci 27: 2026 793