ArticleNature cancer2025
SWIFT-seq enables comprehensive single-cell transcriptomic profiling of circulating tumor cells in multiple myeloma and its precursors.
Article in Nature cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Teclistamab versus lenalidomide-dexamethasone in high-risk smoldering multiple myeloma: a randomized phase 2 trial.Nature medicine · 2026Trial
- Phenotypic evolution of circulating plasma cells from early precursor stages to multiple myeloma.Haematologica · 2026Article
- Review
- Myeloma Precursors Erode Durable Immunity: Results of the IMPACT study.Research square · 2026Article
- Diagnosis, risk stratification and management of smouldering multiple myeloma.Nature reviews. Clinical oncology · 2026Review
- The pre-metastatic niche: mechanisms, heterogeneity, and therapeutic opportunities.Molecular cancer · 2026Review
- Article
- Vascular collapse leads to muscle wasting in cancer cachexia.Nature cancer · 2025Article
- Circulating plasma cells: from basic mechanisms to clinical applications.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
34 authors.
Funding
Abstract
Multiple myeloma is a bone marrow (BM) plasma cell malignancy preceded by precursor conditions. BM biopsies are conducted infrequently and can yield inconclusive results due to technical limitations. Profiling circulating tumor cells (CTCs) may enable noninvasive routine clinical assessments but remains challenging. Here, to address this, we describe a single-cell sequencing workflow to interrogate few tumor cells (SWIFT-seq), and employ single-cell RNA sequencing and B cell receptor sequencing on paired BM and CTCs from 101 patients and healthy donors. We establish a sequencing-based CTC enumeration strategy and develop a CTC classifier to infer cytogenetic abnormalities. Additionally, we leverage expression profiling to measure tumor proliferative index in CTCs, and demonstrate that clonal dynamics can be captured in CTCs. Last, we propose a circulatory dynamics model whereby tumor burden, proliferation, cytogenetics and a circulatory capacity signature influence CTC burden. Overall, SWIFT-seq may advance blood-based myeloma diagnostics, surveillance and prognostication, and reveal biological mechanisms of tumor dissemination.
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Registered trials
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