Abstract
Multiple myeloma, a plasma cell malignancy, is the second most common blood cancer. Despite extensive research, disease heterogeneity is poorly characterized, hampering efforts for early diagnosis and improved treatments. Here, we apply single cell RNA sequencing to study the heterogeneity of 40 individuals along the multiple myeloma progression spectrum, including 11 healthy controls, demonstrating high interindividual variability that can be explained by expression of known multiple myeloma drivers and additional putative factors. We identify extensive subclonal structures for 10 of 29 individuals with multiple myeloma. In asymptomatic individuals with early disease and in those with minimal residual disease post-treatment, we detect rare tumor plasma cells with molecular characteristics similar to those of active myeloma, with possible implications for personalized therapies. Single cell analysis of rare circulating tumor cells allows for accurate liquid biopsy and detection of malignant plasma cells, which reflect bone marrow disease. Our work establishes single cell RNA sequencing for dissecting blood malignancies and devising detailed molecular characterization of tumor cells in symptomatic and asymptomatic patients.
| Original language | English |
|---|---|
| Pages (from-to) | 1867-1876 |
| Number of pages | 10 |
| Journal | Nature Medicine |
| Volume | 24 |
| Issue number | 12 |
| DOIs | |
| State | Published - 1 Dec 2018 |
Funding
| Funders | Funder number |
|---|---|
| Abramson Family Center | |
| Benoziyo Family Fund | |
| DFG/Transregional | |
| David and Fela Shapell Family Foundation | |
| Helen and Martin Kimmel | |
| Israeli Ministry of Science, Technology, and Space | |
| Howard Hughes Medical Institute | |
| National Cancer Institute | P30CA008748 |
| Melanoma Research Alliance | 509044 |
| Flight Attendant Medical Research Institute | |
| Chan Zuckerberg Initiative | |
| European Research Council | ERC-COG) 724471-HemTree2.0 |
| Minerva Foundation | |
| Israel Science Foundation | 703/15 |
| Clalit Health Services |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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