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September 17, 20251 citationsOpen Access

Highly multiplexed imaging recovers immune and metabolic niches in multiple myeloma associated with disease progression and bone involvement

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IRIngrid Aass RosethLHLukas HatscherCSC. Schiller

Key Points

  • Spatial mapping of bone marrow in multiple myeloma highlights immune interactions and metabolically distinct plasma cell niches.
  • Identification of distinct plasma cell neighborhoods, like PC_MYELOID and PC_OXPHOS, correlates with disease progression in multiple myeloma.
  • Proximity of plasma cells to bone surfaces and interactions with CD4+ T cells are significant predictors for worse clinical outcomes.
  • The research emphasizes the importance of spatial context in multiple myeloma pathogenesis and potential risk stratification.

Abstract

Multiple myeloma (MM) is a cancer arising from genetically aberrant plasma cells (PCs) that remain dependent on the bone marrow (BM) microenvironment for disease establishment and progression. Here, we spatially mapped BM biopsies from patients with MM, smoldering MM and monoclonal gammopathy of undetermined significance by imaging mass cytometry. We found that PCs near bone surfaces were quiescent and demonstrated a distance-to-bone-dependent upregulation of IL-32 and HIF1A; in patients with bone disease, consistent with their role in promoting bone loss in MM. We further identified two distinct PC neighborhoods termed PCOXPHOS characterized by focal PC growth, enrichment of endothelial cells and elevated oxidative phosphorylation; and PCMYELOID, characterized by PCs interspersed with immune cells and featuring a glycolytic phenotype. Spatial interactions between PCs and immune correlated with shorter progression free survival. Notably, a strong neighbor preference between PCs and CD4+ T cells was an independent predictor for disease progression. Our work underscores spatial context as a key factor in understanding MM pathogenesis and the potential for spatial analyses to improve MM risk stratification.

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Cite This Study

Roseth et al. (2025) studied this question.

synapsesocial.com/papers/68d4604731b076d99fa5f7edhttps://doi.org/10.1101/2025.09.08.674473
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multiplexed imaging reveals immune-metabolic niches in multiple myeloma linked to progression and bone disease2026 · 2 citations
  2. 2B05 | SPATIAL IMAGING UNLOCKS THE POTENTIAL OF CHARTING MULTIPLE MYELOMA AND EXTRAMEDULLARY DISEASE2026
  3. 3Spatial profiling identifies a distinct and topographically-defined tumor microenvironment that emerges during multiple myeloma evolution2026
  4. 4Characterization of the bone marrow architecture of multiple myeloma using spatial transcriptomics2025
  5. 5Spatial Transcriptomics Reveals a Myeloma Cell Architecture with Dysfunctional T-Cell Distribution, Neutrophil Traps, and Inflammatory Signaling2024 · 10 citations